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S.Prasanth Kumar, Bioinformatician Pharmacogenomics & Drug Design in silico  Drug Design - An Introduction S.Prasanth Kumar, Bioinformatician S.Prasanth Kumar   Dept. of Bioinformatics  Applied Botany Centre (ABC)  Gujarat University, Ahmedabad, INDIA www.facebook.com/Prasanth Sivakumar FOLLOW ME ON  ACCESS MY RESOURCES IN SLIDESHARE prasanthperceptron CONTACT ME [email_address]
From Scratch Drug discovery is mostly portrayed as a linear, consecutive process that  starts  with  target and lead discovery , followed by  lead optimization  and  pre-clinical in vitro and in vivo studies  to determine if such compounds satisfy a number of pre-set criteria for  initiating clinical development
Cost & Time
Traditional Approach Poor pharmacokinetics ( 39% ), lack of efficacy ( 30% ), animal toxicity ( 11% ), adverse effects in humans ( 10% ) and various commercial and miscellaneous factors.  Synthesizing compounds in a time-consuming multi-step processes in vivo  biological screens Promising candidates Pharmacokinetic properties, metabolism and potential toxicity Investigation (Screening) Failures 90 %
in-silico Drug Design
in-silico Drug Design   in silico  methods can help in identifying drug targets via bioinformatics tools Major roles of computation in drug discovery are Virtual screening & de novo design in silico  ADME/T prediction and  Advanced methods for determining protein-ligand binding

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In silico drug design an intro

  • 1. S.Prasanth Kumar, Bioinformatician Pharmacogenomics & Drug Design in silico Drug Design - An Introduction S.Prasanth Kumar, Bioinformatician S.Prasanth Kumar Dept. of Bioinformatics Applied Botany Centre (ABC) Gujarat University, Ahmedabad, INDIA www.facebook.com/Prasanth Sivakumar FOLLOW ME ON ACCESS MY RESOURCES IN SLIDESHARE prasanthperceptron CONTACT ME [email_address]
  • 2. From Scratch Drug discovery is mostly portrayed as a linear, consecutive process that starts with target and lead discovery , followed by lead optimization and pre-clinical in vitro and in vivo studies to determine if such compounds satisfy a number of pre-set criteria for initiating clinical development
  • 4. Traditional Approach Poor pharmacokinetics ( 39% ), lack of efficacy ( 30% ), animal toxicity ( 11% ), adverse effects in humans ( 10% ) and various commercial and miscellaneous factors. Synthesizing compounds in a time-consuming multi-step processes in vivo biological screens Promising candidates Pharmacokinetic properties, metabolism and potential toxicity Investigation (Screening) Failures 90 %
  • 6. in-silico Drug Design in silico methods can help in identifying drug targets via bioinformatics tools Major roles of computation in drug discovery are Virtual screening & de novo design in silico ADME/T prediction and Advanced methods for determining protein-ligand binding