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DRUG
• Adrug may be defined as “a chemical entity that when consumed/injected,
resultsinthecontrol or eradicationof aparticulardisease/infection”.
• Drug discovery is a pipeline process involved in the evolution of drugs and
involves“genesto drugs”strategy.
• Identifying the gene responsible for a particular disease process and finally
evolvingadrugto combatthedisease-thesethreeformsthemain areasinthis
strategy.
• Drug discovery process usuallystarts with an analysis of binding sites in target
proteins or an identification of structural features common to active
compounds.
• The process ends with the generation of small molecule “leads” suitable for
furtherchemical syntheticwork.
• Itis a recent and emerging discipline thatuses several bioinformatics tools and
relatedfields likechemiinformaticsandcombinatorial chemistry.
• CADD uses computational chemistry to discover, enhances or study of drugs
andrelated biologicallyactivemolecules.
• CADD technique are dependent on bioinformatic tools, databases and
applications.
COMPUTERAIDED DRUGDESIGN(CADD)
ROLE OFCADD
• Thetargetof computer assisted drug design (cadd) is notto
find the ideal drug but to identify and optimize lead
compoundsandsavesome experiments
• Theparametersexpectedfrom adrugare
• Safety
• Efficiency
• Stability
• Solubility
• Synthetic viability
• Novelty
OthersapplicationsofCADD
There are different techniques used in CADD visualization,
homology, molecular dynamic & energy minimization molecular
docking.
Computer aided drug design is applicable in;
 Cancer disease
 Transportation of drug to specific site in body
 Data collections and storages of organics and biologicals.
The Current Roles of the ComputerIn DrugDesign
• Storing andretrieving information
• Structures determined by x-ray crystallography for biologicaltargets
(enzymes)anddrug molecules
• Molecules and activities testing the affect of smallstructuralchanges
onbiologicalactivityinformationabout toxicity andits
relationshipto structure
• VISUALIZING MOLECULES
• Similarities/differencesbetweendrugsactinginthesame way
• Interactionbetweendrugsandreceptors
• CALCULATIONS
• Interactionstrengths
• Motion(Dynamics)
IMPACTOF STRUCTURAL
BIOINFORMATICS
ON DRUG DISCOVERY
• SPEEDS UP KEYSTEPS IN
DD PROCESS BY
COMBINING ASPECTS OF
BIOINFORMATICS,
STRUCTURAL BIOLOGY
,
AND STRUCTURE-BASED
DRUG DESIGN
Bio-
informatics
Structure-based
Drug Design
Structural
Biology
Fig 1 & 2
Fauman et al.
Identify disease
Isolate protein
Find drug
Preclinical testing
GENOMICS, PROTEOMICS & BIOPHARM.
IN VITRO & IN SILICO ADME MODELS
Potentially producing many more targets
and “personalized” targets
HIGH THROUGHPUT SCREENING
Screening up to 100,000 compounds a
day for activity against a target protein
VIRTUAL SCREENING
Using a computer to
predict activity
COMBINATORIAL CHEMISTRY
Rapidly producing vast numbers
of compounds
MOLECULAR MODELING
Computer graphics & models help improve activity
Tissue and computer models begin to replace animal testing
Thank You

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Role of computer in the discovery of drugs

  • 1.
  • 2. DRUG • Adrug may be defined as “a chemical entity that when consumed/injected, resultsinthecontrol or eradicationof aparticulardisease/infection”. • Drug discovery is a pipeline process involved in the evolution of drugs and involves“genesto drugs”strategy. • Identifying the gene responsible for a particular disease process and finally evolvingadrugto combatthedisease-thesethreeformsthemain areasinthis strategy.
  • 3. • Drug discovery process usuallystarts with an analysis of binding sites in target proteins or an identification of structural features common to active compounds. • The process ends with the generation of small molecule “leads” suitable for furtherchemical syntheticwork. • Itis a recent and emerging discipline thatuses several bioinformatics tools and relatedfields likechemiinformaticsandcombinatorial chemistry. • CADD uses computational chemistry to discover, enhances or study of drugs andrelated biologicallyactivemolecules. • CADD technique are dependent on bioinformatic tools, databases and applications. COMPUTERAIDED DRUGDESIGN(CADD)
  • 4. ROLE OFCADD • Thetargetof computer assisted drug design (cadd) is notto find the ideal drug but to identify and optimize lead compoundsandsavesome experiments • Theparametersexpectedfrom adrugare • Safety • Efficiency • Stability • Solubility • Synthetic viability • Novelty
  • 5. OthersapplicationsofCADD There are different techniques used in CADD visualization, homology, molecular dynamic & energy minimization molecular docking. Computer aided drug design is applicable in;  Cancer disease  Transportation of drug to specific site in body  Data collections and storages of organics and biologicals.
  • 6. The Current Roles of the ComputerIn DrugDesign • Storing andretrieving information • Structures determined by x-ray crystallography for biologicaltargets (enzymes)anddrug molecules • Molecules and activities testing the affect of smallstructuralchanges onbiologicalactivityinformationabout toxicity andits relationshipto structure • VISUALIZING MOLECULES • Similarities/differencesbetweendrugsactinginthesame way • Interactionbetweendrugsandreceptors • CALCULATIONS • Interactionstrengths • Motion(Dynamics)
  • 7. IMPACTOF STRUCTURAL BIOINFORMATICS ON DRUG DISCOVERY • SPEEDS UP KEYSTEPS IN DD PROCESS BY COMBINING ASPECTS OF BIOINFORMATICS, STRUCTURAL BIOLOGY , AND STRUCTURE-BASED DRUG DESIGN Bio- informatics Structure-based Drug Design Structural Biology Fig 1 & 2 Fauman et al.
  • 8. Identify disease Isolate protein Find drug Preclinical testing GENOMICS, PROTEOMICS & BIOPHARM. IN VITRO & IN SILICO ADME MODELS Potentially producing many more targets and “personalized” targets HIGH THROUGHPUT SCREENING Screening up to 100,000 compounds a day for activity against a target protein VIRTUAL SCREENING Using a computer to predict activity COMBINATORIAL CHEMISTRY Rapidly producing vast numbers of compounds MOLECULAR MODELING Computer graphics & models help improve activity Tissue and computer models begin to replace animal testing