May 8 2008
Contents
 
Introduction
Overview - RECOMMENDED READING FOR NEW ICM USERS
File Menu
Graphics Move Tools
Display Tab
Light Tab
Labels Tab
PDB Search Tab
Meshes Tab
View Menu
Selections
Tables
Sequences
Bioinfo Menu
Tools Menu - Xray
Tools Menu - 3D Predict
Tools Menu - Analysis
Tools Menu - Superimpose
Homology and Modelling
Working with Chemistry Tools
Chemsitry Menu
Docking
Animations, Slides, & Documents
Movie Making
Frequently Asked Questions
Tutorial - Graphical Display
Molecular Document
Tutorial - Working with PDB Protein Structures
Tutorial - Working with Sequence Alignments
Tutorial - Ligand Binding Pocket Analysis
Tutorial - Homology and Modeling Tools
Tutorial - Crystallographic Analysis Tools
Tutorial - Working with Chemical Tables
Tutorial - Working with the Molecular Editor
Tutorial - Chemical Searching
Tutorial - Docking and Virtual Ligand Screening
 Re-Dock Biotin to the Streptavidin Receptor
 Re-Dock an Inhibitor to Ricin Crystal Structure
 VLS - Ricin
 VLS - Cyclooxygenase
 Docking a Markush Generated Library
 Multiple Receptor
 
Index
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36 Tutorial - Docking and Virtual Ligand Screening
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Overview

ICM provides a unique set of tools for the modeling of protein/ligand interactions. The algorithm performs fast and accurate docking of fully continuously flexible small molecule ligands to a protein represented by grid interaction potentials. The algorithm performs exceptionally well compared to other docking algorithms on the market (see Bursulaya et al 2004 Journal of Computer Aided Molecular Design). The algorithm has been developed to incorporate flexibility into the receptor binding pocket to mimic the induced-fit caused when a ligand binds with a receptor (see Cavasotto and Abagyan Journal of Molecular Biology 2004). <>

ICM docking has been used to solve many drug-design problems and here is a select list of references.

Schapira, M., Raaka, B.M., Samuels, H, H. and Abagyan, R. (2000). Rational discovery of novel nuclear hormone receptor antagonists. PNAS, Feb 1;97 (3), 1008-1013

Abagyan, R. and Totrov, M. (2001). High-throughput Docking for Lead Generation. Current Opinion in Chemical Biology. Aug;5(4):375-82

Schapira, M., Totrov, M. and Abagyan, R. (2002). Structural Model of Nicotinic Acetylcholine Receptor Isotypes Bound to cetylcholine and Nicotine. BMC Structural Biology 2:1

Cavasotto, C., Orry, A.J.W., Abagyan, R. (2003). Structure-based identification of binding sites, native ligands and potential inhibitors for G-protein coupled receptors. Proteins: Structure, Function, and Genetics 51(3), 423-433

Bursulaya BD, Totrov M, Abagyan R, Brooks CL 3rd.Comparative study of several algorithms for flexible ligand docking. J Comput Aided Mol Des. 2003 Nov;17(11):755-63.

Cavasotto CN, Abagyan RA. Protein flexibility in ligand docking and virtual screening to protein kinases. J Mol Biol. 2004 Mar 12;337(1):209-25.

Altmann SM, Muryshev A, Fossale E, Maxwell MM, Norflus FN, Fox J, Hersch SM, Young AB, MacDonald ME, Abagyan R, Kazantsev AG. Discovery of bioactive small-molecule inhibitor of poly adp-ribose polymerase: implications for energy-deficient cells. Chem Biol. 2006 Jul;13(7):765-70.

Cavasotto CN, Ortiz MA, Abagyan RA, Piedrafita FJ. In silico identification of novel EGFR inhibitors with antiproliferative activity against cancer cells. Bioorg Med Chem Lett. 2006 Jan 11


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