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Computer-Aided Drug Design (CADD) Master Course
Getting Started
Introduction to CADD
This Course Is For Beginners or Experienced?
Career Opportunities In CADD
Module 1 : Introduction to Drug Discovery Process & CADD
Day 1 : Overall Drug Discovery Process (89:54)
Day 2 : Introduction to Bioinformatics and Understanding Genomics, Proteomics and CADD (83:25)
Day 3 : Databases (86:22)
Day 4 : Sequence Based Search Tool [BLAST] (73:08)
Day 5 : Factors Affecting Drug Discovery (60:15)
Day 6 : Types of CADD (68:34)
Module 2 : Ligand Based Drug Design (Pharmacophore Design)
Day 7 : Pharmacophore Modelling (79:08)
Day 8 : QSAR Analysis (73:29)
Day 9 : Similarity Search / Clustering (77:30)
Day 10 : R-Group Decomposition (50:00)
Day 11 : Matched Pair Analysis (63:26)
Module 3 : Structure Based Drug Design (Target-Ligand Docking)
Day 12 : Introduction to Structure based Drug Design and process layout of Docking (79:22)
Day 13 : Data mining, literature study and acquisition of target structure (65:26)
Day 14 : Comparative modelling of protein (Homology modelling) (70:11)
Day 15 : Active site/ Pocket identification –MetaPocket, CastP, Active site identification using PyMol (62:51)
Day 16 : Protein & Ligand Preparation (79:38)
Day 17 : Docking Analysis (based on binding energy, Hydrogen bond interactions, electrostatic interactions, hydrophobic interactions, etc.) (61:58)
Day 18 : Approaches of Structure based drug design: Structure-based virtual high-throughput screening, Fragment-based lead discovery, In silico structure-based lead optimization, ADMET modelling (86:12)
Module 4
Day 19 : Significance and limitations of CADD in Drug Discovery and Development (51:09)
Module 5
Day 20 : Case Study (60:04)
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Computer-Aided Drug Design Tools - PDF WIth Complete List
Knowledge Test
CADD Knowledge Test
Day 18 : Approaches of Structure based drug design: Structure-based virtual high-throughput screening, Fragment-based lead discovery, In silico structure-based lead optimization, ADMET modelling
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