Therapeutic proteins are an important class of drugs, representing about one third of new drug approvals. Various engineering techniques can be used to improve the pharmacokinetic properties of therapeutic proteins, such as fusion proteins, PEGylation, codon optimization, and sequence alterations. Computational drug design techniques are also widely used in China for drug discovery, including molecular docking, virtual screening, target identification, and predicting drug properties. The Hippo signaling pathway regulates organ size and tumorigenesis, and its dysregulation can promote cancer; targeting this pathway may yield new anticancer therapies. Influenza's M2 proton channel is a drug target; while current channel blockers like amantadine face resistance, new inhibitors are being
The document discusses the process for approval of a new drug from development through marketing. It takes 10-15 years on average and costs over $2.6 billion to get a new drug approved. Key steps include:
- Preclinical research to identify biological targets and compounds
- FDA approval to begin clinical trials in three phases involving thousands of subjects to test safety, efficacy, and dosing
- New Drug Application submission including all clinical trial data for FDA review and approval
- Post-marketing studies and generic approval after patents expire
ACRI is a leading clinical research training institute in Bangalore.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
Drug discovery is an inventive process of identifying a compound or new medication based on knowledge of biological target, therapeutically useful in treating and curing a disease.
The process of drug discovery involves the identification of candidates,synthesis, characterization,screening,assays for therapeutic efficacy.
Once a compound has shown its value in these tests, it will begin the process of drug development prior to clinical trials.
Combating drug resistance in anticancer therapy ManingcinaSephe
This document discusses strategies to combat drug resistance in anticancer therapy. It notes that continuous monitoring of patients and using a cocktail of drugs targeting multiple resistance pathways can help overcome resistance. Another strategy is intermittent "on and off" high and low dosing to interrupt growth of resistant cells. Blocking P-glycoprotein and depleting ATP can decrease drug resistance by inhibiting drug efflux. Using nanoparticles loaded with chemotherapy drugs and targeting molecules allows drugs to enter cancer cells. Genetic changes that increase drug-deactivating enzymes, membrane transporters, or DNA repair can also cause resistance.
Genomics and proteomics in drug discovery and developmentSuchittaU
This document discusses the role of genomics and proteomics in drug discovery and development. It explains that genomics and proteomics technologies can help identify new drug targets by comparing gene and protein expression between healthy and diseased cells. Proteomics in particular analyzes changes in protein levels and can quantify individual proteins using techniques like 2D gel electrophoresis and mass spectrometry. The integration of genomics and proteomics provides a more comprehensive understanding of biological systems and is improving the drug discovery process.
Designing of drug delivery system for biotechnology products considering stab...Smaranika Rahman
"Where there is life, there is DNA, where there is DNA, there is biotechnology." Biotechnology, as the word suggests, is combination of biology and technology. So the importance of biotechnology and biotechnology products in our life is increasing day by day. That's why we have to produce biotechnology products in a safer manner and also maintain that through it's shelf-life.We have also research on improving methods of improving it's stability. In this topic, I also tried to discuss bioinformatic-driven strategies that are used to predict structural changes that can be applied to wild type proteins in order to produce more stable variants. The most commonly employed techniques PEGylation, stochastic approaches, empirical or systematic rational design strategies.
The document discusses the importance of biotechnology in drug discovery. It notes that biotechnology has produced over 200 new therapies targeting various diseases. Biotechnology companies are more entrepreneurial and nimble compared to traditional pharmaceutical companies. The document also provides details on the large and growing biotech market in India and worldwide. It describes several applications of biotechnology across various stages of the drug discovery process, including target identification and validation, assay development, high-throughput screening, biomarker analysis, and protein engineering.
The document discusses in silico drug discovery methods including identifying potential drug targets, generating pharmacophore models, screening compound databases, and analyzing top hits through molecular docking simulations. A drug discovery strategy is outlined involving primary and secondary screening to identify lead compounds. The work plan describes using AutoDock Vina to dock and rank compounds, selecting the top 14 hits, and analyzing their binding interactions with HIV proteases. Nilotinib, lopinavir, ergoloid, and zafirlukast were evaluated in more detail and found to have high binding affinity to the target proteins.
The document outlines the key steps in cancer drug development including:
1) Identification of candidate compounds through screening of natural products, computer modeling, and molecular targeted screening.
2) Preclinical evaluation of candidate compounds in vitro and in vivo to determine toxicity, pharmacology, and antitumor activity before clinical trials.
3) Clinical trials consisting of Phase I to evaluate safety and determine the maximum tolerated dose, Phase II to evaluate efficacy and determine if the drug warrants Phase III trials, and Phase III trials to compare the new drug to standard treatment and support marketing approval.
Part of the MaRS Best Practices Series - Pre-Clinical development workshop
http://www.marsdd.com/bestpractices
Speaker: Jack Jiang, VP Medicinal and Analytical Chemistry, Ricerca BioSciences
This document provides information about Anthony Crasto, a Glenmark scientist based in Navi Mumbai, India. It summarizes that he runs several free websites that provide drug and pharmaceutical information which have received millions of hits on Google. These websites help track new drugs worldwide and provide free advertising to help millions. Despite facing personal challenges with his son's health issues, Crasto's vast readership from academia and industry motivates him to continue his work through these websites.
The document discusses the process of drug discovery, including target selection, lead discovery, medicinal chemistry, in vitro and in vivo studies, and clinical trials. Target selection involves identifying cellular or genetic targets involved in disease through techniques like genomics, proteomics, and bioinformatics. Lead discovery focuses on identifying small molecule modulators of protein function through methods like synthesis, combinatorial chemistry, assay development, and high-throughput screening. Medicinal chemistry then works to optimize these leads. [/SUMMARY]
High School Career Day Drug Development 2010Insiteqa
Michael Donatelli discussed his career path in the pharmaceutical industry. He started with a degree in biology and worked as a laboratory researcher before becoming a quality assurance auditor. He later started his own consulting company to facilitate drug development. His company works with biotech and pharmaceutical clients to identify and address problems in clinical trials to help bring new medical therapies to patients. A typical day involves office work, client calls, and travel for on-site audits of clinical trial sites and manufacturing facilities.
The drug development process involves several key steps:
1. Discovery and initial characterization of a drug candidate through preclinical trials in animals.
2. Submission of preclinical data to regulatory authorities for approval of clinical trials in humans, which involve 3 phases over 5+ years.
3. Submission of clinical trial data and manufacturing information for regulatory review and approval.
4. If approved, the new drug is available on the market and undergoes post-marketing surveillance for side effects.
Biopharmaceuticals are medical drugs derived from living cells using recombinant DNA technology. They are typically proteins, peptides, nucleic acids, or inactivated viruses/bacteria. Biopharmaceuticals structurally mimic compounds found in the body and have the potential to cure diseases rather than just treat symptoms with fewer side effects due to their specificity. Emerging biopharmaceutical technologies include monoclonal antibody production in protein-free media and genome-based technologies. Biopharmaceuticals have changed treatment for diseases like diabetes and cancer by being tailored for specific medical problems in individuals.
magil_sg_adam_jd_et_al_-_development_of_a_biopharm_aceutical_is_complexJulia Adam
The document discusses the complexities in developing biopharmaceuticals compared to traditional small molecule drugs. Biopharmaceuticals are much larger and more structurally complex, consisting of folded protein chains rather than single molecules. This increased complexity impacts many aspects of development, including determining the active structure, developing purification processes, assessing stability and immunogenicity, and performing comparability testing. While superficially similar regulatory filings are required, biopharmaceutical development faces unique challenges due to this complex three-dimensional structure of proteins.
Drugdiscoveryanddevelopment by khadga rajKhadga Raj
The document provides information on various stages of drug discovery and development, including target selection, lead discovery, medicinal chemistry, and clinical trials. It discusses techniques used at each stage such as genomics, proteomics, and bioinformatics for target identification. Key aspects of lead discovery like library development, SAR studies, and high-throughput screening are described. The roles of medicinal chemistry, in vitro and in vivo studies in optimizing leads into drug candidates are also summarized.
Genomics and proteomics have many applications in fields like medicine, biotechnology, and social sciences. Genomics allows for better understanding of disease bases and drug responses by integrating genomic data with other data types. Proteomics identifies protein structures, functions, and interactions through techniques like identifying biomarkers, studying post-translational modifications, and analyzing protein expression profiles. These 'omics technologies continue to provide insights into disease mechanisms and potential drug targets.
Target Validation Academy Of Medical Sciences 1 Dec 2006Mike Romanos
An overview of the issues and approaches in selecting the best targets for drug discovery and validating them. Given at the Drug Discovery Forum held at the Royal Society, London and organised by the Academy of Medical Sciences
Summary of Targeted Protein Degradation in Clinical Trials.pdfDoriaFang
Summary of targeted protein degradation, such as PROTAC and molecular glues in clinical trials. PROTAC and molecular glues are the two main modes of TPD technology based on the UPS.
Exploring Molecular Targets for Repositioning of Hypertensive DrugsYogeshIJTSRD
Drug repositioning or drug repurposing or drug profiling is the discovery of new applications for approved or failed drug.. Drug repositioning is the development of new approved drug applications. The cost of bringing a medicine to the market is around one million which include clinical and preclinical trials. Repositioning of drugs help in cutting down costs as well as time involve in intial validation and authorization. The procedure involved in Drug repositioning is generally performed during the drug development phase to modify or extend an active molecules distribution line. On a fundamental level, repositioning opportunities exist because drugs perturb multiple biological entities and engage themselves in multiple biological processes. Therefore, a drug can play multiple roles or perform a various mode of actions that are responsible for its pharmacology. Hypertension, is a condition that causes increase in the risk of cardiovascular diseases. In this study an attempt has been made to reposition hypertensive drugs for different diseases by exploring molecular targets of hypertensive drugs. Consider that they often need to be administered for long periods of time, often over whole life time Side effects although present, have been found safe enough to be used for such long durations, hence repurposing these drugs for other diseases may be beneficial with limited side effects. Bhawna Singh | Asmita Das "Exploring Molecular Targets for Repositioning of Hypertensive Drugs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39910.pdf Paper URL: https://www.ijtsrd.com/biological-science/bioinformatics/39910/exploring-molecular-targets-for-repositioning-of-hypertensive-drugs/bhawna-singh
Drug discovery and development. Introducing7ReeshabhBele
The document discusses the process of drug discovery, including target selection, lead discovery, medicinal chemistry, and clinical trials. Target selection involves identifying cellular or genetic targets involved in disease through techniques like genomics, proteomics, and bioinformatics. Lead discovery focuses on identifying small molecule modulators of protein function through methods like synthesis, combinatorial chemistry, and high-throughput screening. Medicinal chemistry then works to optimize these leads through approaches such as structure-activity relationship studies. Compounds then progress to in vitro and in vivo testing before entering clinical trials.
The document discusses the process of drug discovery, including target selection, lead discovery, medicinal chemistry, and clinical trials. Target selection involves identifying cellular or genetic targets involved in disease through techniques like genomics, proteomics, and bioinformatics. Lead discovery focuses on identifying small molecule modulators of protein function through methods like synthesis, combinatorial chemistry, and high-throughput screening. Medicinal chemistry then works to optimize these leads through approaches such as structure-activity relationship studies. Compounds then progress to in vitro and in vivo testing before entering clinical trials.
Research Avenues in Drug discovery of natural productsDevakumar Jain
This document discusses challenges facing the pharmaceutical industry and opportunities for natural products in drug discovery. The pharmaceutical industry faces losses of patent protection for many drugs, increasing costs, and litigation. Natural products are attractive alternatives as they have evolved to be bioactive and have structures not limited by human design. Advances like high-throughput screening, metabolomics, metagenomics, and metabolic engineering can help access natural product diversity and accelerate drug discovery from natural sources.
The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) is an expert-driven, open database of pharmacological targets and the substances that act on them. It contains information on over 1,800 drug targets and 1,100 related proteins. The database is curated by 500 experts and provides detailed pharmacological data as well as overviews of key properties and ligands. Specialized extensions of GtoPdb include guides to immunopharmacology and malaria pharmacology that connect their fields to drug discovery. The database is continuously updated with new targets, ligands, features and access methods.
Introduction to the drug discovery processThanh Truong
This document discusses the drug discovery process from target identification through FDA approval. It describes methods used for target identification such as genomics, bioinformatics, and proteomics. The stages of lead identification through high-throughput screening and structure-based drug design are outlined. Key aspects of lead optimization like characterizing potency, efficacy, pharmacokinetics, and toxicity are summarized. Details are provided on preclinical and clinical trial phases from Phase 0 through Phase IV post-marketing surveillance. Factors contributing to the declining drug approval rate like increased safety demands are noted. The high costs and failure rates associated with drug development are highlighted.
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...Chris Southan
Presented by Jamie Davies at the SULSA Synthetic Biology Meeting, Edinburgh, 10 June 2014
http://www.eventbrite.co.uk/e/sulsa-synthetic-biology-meeting-registration-11251454403?aff=eorg
Abstract: Synthetic creation of new biological systems typically incorporates pathways and signaling modules from known protein building blocks. Testing the models underpinning the synthetic engineering thus needs the experimental manipulation of individual proteins, for example, ablating a specific enzyme activity via RNAi, SNP mutation, or knockout. However, the option of small-molecule inhibition as the system perturbation has the advantages of 1) rapid onset 2) dose-response 3) analog testing for structure-activity relationships, 4) exploring mixtures for combinatorial effects 5) pulsing and reversal by wash-out. 6) accurate measurements of added substances and 7) a vast precedent of published results in natural systems from medicinal chemistry, pharmacology, and chemical biology. For the synthetic biologists the GToPdb1 can thus be considered as compendium of the latter. It encompasses an interaction matrix between ~4000 small molecules and ~1000 human proteins with a focus on drugs, clinical candidates, research compounds and peptide ligands These not only have ~ 10,000 mapped binding constants but also the spectrum of documented modulation extends across enzymes, receptors, channels and transporters. It thus becomes an increasingly plausible option to choose a “Lego protein” from GToPdb as a synthetic system component that can have experimentally useable activity probes available from chemical vendors. Even if it does not currently have a suitable target-probe pair, as knowledge base (and expertise resource via the curation team who populate it) GToPdb is an ideal starting point from which to walk out to wider chemogenomic spaces. For example, while an approved drug and its target might seem a logical choice, analogs from the lead series or different chemotypes from which the drug was optimized, or even failed in development, can have superior probe-like properties for in vitro experiments (e.g. be more potent, specific and soluble). The GToPdb facilitates access to such compound data via curated papers and patents.
References
1. Pawson AJ, Sharman JL, Benson HE, Faccenda E, Alexander SP, Buneman OP, Davenport AP, McGrath JC, Peters JA, Southan C, Spedding M, Yu W, Harmar AJ; NC-IUPHAR. The IUPHAR/BPS Guide to PHARMACOLOGY: an expert-driven knowledgebase of drug targets and their ligands. Nucleic Acids Res. 2014 Jan 1;42(1)
Potential role of bioactive peptides in prevention and treatment of chronic d...NxFxProducerDJ
This review analyzes studies and clinical trials on bioactive peptides and their potential roles in preventing and treating chronic diseases. The review focuses on cardiovascular diseases, immunity, cancer, and other areas. Bioactive peptides from various food sources like fish, milk, meat, and plants have shown effects like lowering blood pressure and lipids in clinical trials. Some peptides also demonstrate anticancer activity in vitro and in vivo as well as immunomodulatory and antimicrobial effects. However, more clinical evidence and standardized extraction procedures are still needed to confirm these effects and enable use of bioactive peptides as preventive or therapeutic treatments.
Pharmacogenomics is the study of how genes affect individual responses to drugs. It combines pharmacology and genomics to develop safe and effective personalized medications and dosages based on a person's genetic makeup. The goal is to improve treatment outcomes by predicting drug effectiveness and reducing adverse reactions. Challenges include implementing genetic tests in clinical practice and addressing cost, ethical and legal issues. Future applications include developing tailored drugs for many diseases and faster, more targeted clinical trials through biomarkers.
- Classical/receptor pharmacology, also known as forward pharmacology, uses phenotypic screening of natural or synthetic molecules to identify potential therapeutic agents based on observable changes in disease models. This approach has historically led to many drug discoveries but fell out of favor as reverse pharmacology focusing on specific targets became popular.
- However, reverse pharmacology relying solely on target identification has faced many late-stage clinical failures due to lack of efficacy. Phenotypic screening still plays an important role in drug development by discovering drugs with novel mechanisms of action and multi-target effects without requiring an identified target.
- Both classical and reverse pharmacology approaches have advantages and disadvantages, and a balanced approach integrating both may be optimal for future drug discovery and
Neglected infectious diseases such as tuberculosis (TB) and malaria kill millions of people annually and the oral drugs used are subject to resistance requiring the urgent development of new therapeutics. Several groups, including pharmaceutical companies, have made large sets of antimalarial screening hit compounds and the associated bioassay data available for the community to learn from and potentially optimize. We have examined both intrinsic and predicted molecular properties across these datasets and compared them with large libraries of compounds screened against Mycobacterium tuberculosis in order to identify any obvious patterns, trends or relationships. One set of antimalarial hits provided by GlaxoSmithKline appears less optimal for lead optimization compared with two other sets of screening hits we examined. Active compounds against both diseases were identified to have larger molecular weight ([similar]350–400) and logP values of [similar]4.0, values that are, in general, distinct from the less active compounds. The antimalarial hits were also filtered with computational rules to identify potentially undesirable substructures. We were surprised that approximately 75–85% of these compounds failed one of the sets of filters that we applied during this work. The level of filter failure was much higher than for FDA approved drugs or a subset of antimalarial drugs. Both antimalarial and antituberculosis drug discovery should likely use simple available approaches to ensure that the hits derived from large scale screening are worth optimizing and do not clearly represent reactive compounds with a higher probability of toxicity in vivo.
This document discusses the therapeutic applications of peptides. It begins by providing background on peptides, their structures, and natural sources. It then discusses several therapeutic uses of peptides including as anticancer agents, hormones for treating conditions like prostate cancer, carriers for delivering cytotoxic drugs to cancer cells, treatments for diabetes, anti-obesity, and pre-term labor. The document also discusses peptide manufacturing methods, diagnostic uses of peptides, and antimicrobial peptides.
Polymer therapeutics: an smart drug delivary systemAlok kumar Soni
Polymer therapeutics can improve drug delivery by increasing solubility, stability, and targeting of drugs. Conjugating drugs to polymers can address issues like short half-life, toxicity, and lack of solubility. The polymer properties like molecular weight and hydrophilicity influence pharmacokinetics. Polymer-drug conjugates aim to enhance water solubility, protect drugs from enzymes, and selectively deliver drugs to disease sites.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology.
1. Researchers screened a collection of 2,460 approved drugs in phenotypic assays related to diabetes, cancer, and osteoporosis.
2. Several drugs were confirmed to have known mechanisms of action, such as sulfonylureas being insulin secretagogues and multikinase inhibitors having anti-angiogenic effects.
3. Some drugs were found to have novel activities, such as rotenone and antifolates potentiating the Wnt pathway and cetaben having anti-angiogenic effects. The results of this large-scale screening are publicly available online.
Drug repurposing involves finding new uses for existing drugs to treat different diseases. It provides a more efficient and lower cost alternative to traditional drug development. Computational approaches like network-based, text mining, and semantic methods are used to discover novel drug-disease relationships for drug repurposing. These include identifying modules in biological networks, propagating information across networks, extracting relationships from literature, and constructing semantic networks to predict new associations. Drug repurposing reduces costs and risks compared to de novo drug development.
Role of bioinformatics and pharmacogenomics in drug discoveryArindam Chakraborty
Bioinformatics and pharmacogenomics can accelerate drug discovery and development processes and reduce costs and timelines. Bioinformatics provides databases and tools to aid in target identification and validation. Pharmacogenomics helps determine individual genetic factors that influence drug responses. Together, they allow more efficient and personalized drug development. While still developing, bioinformatics and pharmacogenomics show potential to support drug design and address barriers like adverse reactions. They may help revive orphan drugs and aid in developing treatments for emerging issues like COVID-19 through drug repurposing informed by human genome interactions.
3. Building better drugs: developing and regulating
engineered therapeutic proteins
Therapeutic proteins
Although a reliable count of functionally distinct proteins in humans is lacking,
estimates suggest that the number runs to at least several tens of thousands
Abnormality in one or more of these proteins leads to disease condition
Therapeutic proteins represented 17% of new drugs approved by the USA Food
and Drug Administration (FDA) in 2005 but increased to 32% by 2011
Factors VIII and IX as replacement therapy for hemophilia has significantly
extended the life expectancy of patients
Withdrawals
Due to safety issues
Vatreptacog alpha, BAY86-6150 bioengineered recombinant factor VIIa
Hypersensitivity reactions
Peginesatide, a novel functional analog of erythropoietin
4. Engineered proteins: therapeutics by design
Need- very short serum half-life and poor bioavailability
heterologous expression systems such as E. coli or yeast lack post-
translational modifications
Technologies:
Fusion proteins- unstructured recombinant polypeptides called XTEN have
been successfully used to generate fusion proteins with improved
pharmacokinetic properties
Also PEGylated proteins
Alteration of sequence
Deletions, insertions, and point mutations in a wild type sequence are
performed
eg. deletion of the B-domain of Factor VIII results in higher secretion of the
protein into the media as compared with the full-length form of Factor VIII
Codon optimization
Codon optimization is a technique to maximize the protein expression
Reports increase up to 30-fold
Codon optimization softwares-GENEMAKER, General Codon Usage Analysis
(GCUA) -a program Gene composer, Gene designer, JCat , Optimizer etc
5. Concluding remarks
There has been unprecedented progress, during the past decade, in
the development of platform technologies that further being
improved
The rapid progress of many different scientific disciplines holds
promise for more predictable criteria for the licensure of these
products
And less burdensome regulatory requirements
6. Pharmacology in China: Overview
1. Formation(1923–1949)
Part of Chinese civilization for more than 5000 years, Contemporary
pharmacology in China began around 1930
Ephedra - Dr K.K. Chen, paved the way for subsequent exploration in
sympathomimetics.
The Chinese Society of Physiology in 1926
2. Growth(1949–1985)
Experienced a steady growth since 1949 Major discoveries in this period include
sodium dimer-captosuccinnate, antitumor agents such as camptothecins,
hydroxycamptothecins
Treatment of acute promyelocytic leukemia with all-trans retinoic acid was
another original discovery made in China
Then came period of ‘ cultural revolution’
Chinese Pharmacological Society was established in 1979 and started to publish a
journal in English – Acta Pharmacologica Sinica in 1980.
7. The society finally joined the International Union of Pharmacology
(IUPHAR) in 1985, signaling China’s entry onto the international stage of
pharmacology
Expansion (1986–present)
Since China joined the World Trade Organization (WTO) in 2001, funding
for scientific research has risen steadily. National Centre for Drug
Screening (NCDS) along with a number of other
Recently via the foundation of the Chinese National Compound Library
(CNCL) HAVE approx.1.3 million sample collections
Outlook
Although pharmacological studies on TCM will continue to be a focal point,
strong emphases will be directed towards basic and original research
‘Lead Project’ on personalized medicine at the Chinese Academy of
Sciences
8. Computational methods for drug design and
discovery: focus on China
Drug discovery in China
Taking the structure-based drug design (SBDD) as an example, the
publication of scientific papers from China during 2006 to 2010
ranked fifth (citation ranking is seventh)
Among Asian countries, China ranked the top in both the number of
publications and citations
Computational strategies and techniques in drug design
Pharmacophore modelling
Measures to what extent a query molecule possesses the spatial
arrangement of features essential for protein–ligand interaction,
requires less time to screen a ligand than docking
Reverse docking
Identifying targets is the first key step, One of the computational
approaches demonstrated to be efficient and cost effective in target
identification
The identified protein ‘hit’ can then serve as a potential candidate
10. Drug repositioning
To boost the productivity of the current drug design process “new uses for
an existing drug”.
Besides classical target- and ligand-based computational methods, in recent
years, many drug repositioning approaches based on systems biology
have been developed. For ex.- network-based inference (NBI) method
which used the topology similarity of the ligand–target network to
prioritize new targets for a given drug, or vice versa.
There are some databases that focus on the biological actions of drugs, for
example, DrugBank, TTD , SuperTarget and MATADOR , STITCH
(search tool for interactions of chemicals)
Protein–ligand interaction
Molecular docking plays a central role in predicting protein–ligand
interactions, which has been extensively used for drug hit discovery
and lead optimization
11. Virtual screening and lead optimization
Hit identification also VS.
A useful VS tool named SHAFTS (SHApe FeaTure Similari- ty) , which is a
hybrid approach comparing both molecular shape and pharmacophore
features
1. Pharmacophore-based VS is an established in silico tool that has
resulted in the identification of many active compounds in drug discovery
programs.
2. . Shape-based VS is another useful tool for searching for novel lead
compounds
3. Commercial chemical libraries for high-throughput screening (HTS)
are primary sources for hit identification
In silico prediction of ADME/T properties
These properties to the failure rates of drug discovery and the resultant
mounting cost of bringing a new drug to the market
Web-based SOM prediction service, provides medicinal chemists a visual and
easy-to-use interface for addressing some metabolism-related problems.
12. Successful applications of CDDD
Cases of drug target identification
A natural product isolated from ‘Ceratostigma willmottianum’ was found
effective in inhibiting the bacterium- H.Pylori
Finding using Tar- FisDock includes revealing the mechanism of gingerol
(in control n management of cancer)
Another case study of in silico target prediction include fibroblast growth
factor receptors (FGFRs), as targets for the treatment of various
human cancers.
Qian and colleagues used the reverse pharmacophore mapping approach
PharmMapper to identify target candidates for an active compound
that they previously synthesized and showed great in vitro
antiproliferative effects
Cases of hit discovery
Molecular docking is one of the most widely employed
New Delhi metallo-b-lactamase-1 (NDM-1) has recently attracted
extensive attention for its rapid dissemination and resistance to
13. almost all known b-lactam antibiotics, Shen et al provided useful
clues for the rational design of effective NDM-1 inhibitors
Another distinguished contribution made by Chinese researchers is the
identification of a new indication for an old drug cinanserin, a well-
characterized serotonin antagonist
Concluding remarks
CDDD is a multidisciplinary technology SPEEDS UP DD
The philosophy embodied in CDDD is shifting from ‘one gene, one
drug, and one disease’ to ‘multicomponent therapeutics, network
targets
14. Regulation of the Hippo pathway and implications for
anticancer drug development
Hippo tumor suppressor pathway
also known as the Salvador/Warts/Hippo (SWH) pathway
The Hippo– YAP/TAZ pathway was linked to diverse G-
protein coupled receptor (GPCR) ligands and receptor
signalling
Role in organ size regulation and tumorigenesis
Composition of hippo pathway
In mammals, the core components of the Hippo pathway
consist of serine/threonine kinases MST1/2, Lats1/2 and
their adaptor proteins Sav1 and Mob MOBKL1A and
MOBKL1B
15. Control by the Hippo pathway
implicated in diverse cellular and tissue properties which includes-
apicobasal polarity,
• Cell- cell adhesion1
• Contact inhibition2
• Planer cell polarity3
• Mechanotransduction4
• Various diffusible signals5
16. Dysregulation: caused by gene mutation or aberrant expression,
promotes cell proliferation and tumorigenesis
17. Recent advances related with hippo pathway
1. Recent reports show that Ga12/13-, Gaq/11-, Gai/o-coupled
GPCRs activate YAP/TAZ and promote nuclear translocation
2. Gas-coupled GPCRs suppress YAP/TAZ activity
3. Also, dobutamine- a Ga-coupled b-adrenergic agonist, inhibits
YAP-dependent gene transcription
4. Epinephrine and glucagon also inhibit YAP/TAZ activity by
activation of Gas–cAMP–protein kinase A (PKA)–Lats1/2
5. Growth factor signalling:
TGF-b
IGF
EGF
Interact with several effectors of those pathways such as b-catenin and
Smad proteins
WHERE AS, impact on human cancer in which YAP/TAZ are highly
expressed
18. Structural and energetic analysis of drug inhibition of the
influenzaA M2 proton channel
TypeA influenza virus matrix protein 2 (A M2)
highly selective proton channel in the viral envelope
Role in viral infection and replication- a target of anti-influenza
drugs
Drugs acting through these channels
Amantadine
Rimantadine
Problem- these drugs have met with resistance!
M2 channel
Homotetramer comprising four 97- residue transmembrane (TM)
peptides
TheTM domain is composed of four parallel a helices
19. Drug design targeting drug-resistant mutant M2
channels
Involves following approaches:
1. Pharmacophores of adamantane-based drugs
includes one large hydrophobic adamantane group and a polar
group, mimicking the structures of amantadine and
rimantadine
2. Designing drugs with novel scaffolds
M2 channel is structurally flexible, can accommodate
hydrophobic groups with different shapes and sizes
Using different types of hydrophobic groups
3. Drug design targeting the S31N mutant
S31N mutation introduces large polar Asn31 side chains and
abolishes the hydrophobic interactions
Accomplished by Ammonium group placed with variations
20. From obesityto substance abuse: therapeutic opportunities for 5-
HT2C receptor agonists
5-HT system
Have established impact on drug therapy arena of CNS acting
drugs
In 2000 top five selling central nervous system (CNS) drugs
had a modulatory effect on 5-HT function as a recognized part
of their mechanism of action
In obesity
control of ingestive behavior, modulation of behavioral effects
Lorcaserin (Lorqess) – was approved by the FDA in 2012 for
the treatment of obesity
alter various behaviors and underlying neurobiological systems
relevant to drug abuse and addiction
likely act directly on paraventricular nucleus to alter metabolic aspects
of feeding
21. Characteristics of the 5-HT2C receptor
Only known G protein-coupled receptor (GPCR) that undergoes RNA
editing
Differing behavioral phenotypes have also been described in transgenic
mice expressing specific isoforms of 5-HT2C
The ability of fenfluramine and sibutramine to reduce food intake partly
depends on 5-HT2C receptors
Behavioral effects of drugs of abuse
Most drugs of abuse directly or indirectly enhance DA
‘Ro60-0175’ reduced reinstatement of cocaine-seeking
behavior (antagonist M100907 reduces ) reduced
attenuated nicotine-induced locomotion, nicotine self-
administration
22. reduced impulsivity found experimentally in rats
Psychoactive effects including
‘detached’ ‘spaced out’, ‘floating’
- Treating nicotine dependence with 5-HT2C receptor agonists may be
a more realistic therapeutic objective
Concluding remarks
Drug abuse and addiction is a potential therapeutic target for 5-HT2C
receptor agonists, and to further suggest that the mechanisms that
contribute to antiaddictive property may similarly contribute to
efficacy against obesity
Opportunities to evaluate lorcaserin for smoking cessation and
psychostimulant abuse
Editor's Notes
XTEN is a proprietary recombinant polypeptide that, when genetically fused to a therapeutic payload of interest, extends the in vivo half-life of these peptides and proteins in a tunable manner………………….. . Codon optimization is a technique to maximize the protein expression in living organism by increasing the translational efficiency of gene of interest by transforming DNA sequence of nucleotides of one species into DNA sequence of nucleotides of another species
(site of metabolism)
New Delhi Metallo-beta-lactamase-1 (NDM-1)[1] is an enzyme that makes bacteria resistant to a broad range of beta-lactam antibiotics. These include the antibiotics of the carbapenem family, which are a mainstay for the treatment of antibiotic-resistant bacterial infections. The gene for NDM-1 is one member of a large gene family that encodes beta-lactamase enzymes called carbapenemases. Bacteria that produce carbapenemases are often referred to in the news media as "superbugs" because infections caused by them are difficult to treat. Such bacteria are usually susceptible only topolymyxins and tigecycline.[2]
NDM-1 was first detected in a Klebsiella pneumoniae isolate from a Swedish patient of Indian origin in 2008. It was later detected in bacteria in India, Pakistan, the United Kingdom, the United States,[3] Canada,[4] and Japan.[5]
The most common bacteria that make this enzyme are Gram-negative such as Escherichia coli and Klebsiella pneumoniae, but the gene for NDM-1 can spread from one strain of bacteria to another by horizontal gene transf
2010..
Hippo signaling is an evolutionarily conserved pathway that controls organ size by regulating cell proliferation, apoptosis, and stem cell self renewal. In addition, dysregulation of the Hippo pathway contributes to cancer development - See more at: http://www.cellsignal.com/contents/science-pathway-research-stem-cell-markers/hippo-signaling-pathway/pathways-hippo#sthash.Je5bAyPF.dpuf
These methods have led to the successful designs of effec-tive drug candidates for several M2 mutants and show great promise
recommend lorcaserin with certain restrictions and patient monitoring. The restrictions include patients with a BMI of over 30, or with a BMI over 27 and a comorbidity like high blood pressure or type 2 diabetes
RNA editing is a molecular process through which some cells can make discrete changes to specific nucleotide sequences within a RNA molecule after it has been generated by RNA polymerase. RNA editing is relatively rare, and common forms of RNA processing (e.g. splicing, 5'-capping and 3'-polyadenylation) are not usually included as editing. Editing events may include the insertion, deletion, and base substitution of nucleotides within the edited RNA molecule.