Literature DB >> 27804014

Computer-aided drug discovery research at a global contract research organization.

Douglas B Kitchen1.   

Abstract

Computer-aided drug discovery started at Albany Molecular Research, Inc in 1997. Over nearly 20 years the role of cheminformatics and computational chemistry has grown throughout the pharmaceutical industry and at AMRI. This paper will describe the infrastructure and roles of CADD throughout drug discovery and some of the lessons learned regarding the success of several methods. Various contributions provided by computational chemistry and cheminformatics in chemical library design, hit triage, hit-to-lead and lead optimization are discussed. Some frequently used computational chemistry techniques are described. The ways in which they may contribute to discovery projects are presented based on a few examples from recent publications.

Keywords:  Chemical library design; Computer-aided drug discovery; Docking; Drug-likeness; Virtual screening

Mesh:

Substances:

Year:  2016        PMID: 27804014     DOI: 10.1007/s10822-016-9991-3

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  35 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  A new approach to finding natural chemical structure classes.

Authors:  Jun Xu
Journal:  J Med Chem       Date:  2002-11-21       Impact factor: 7.446

3.  BREED: Generating novel inhibitors through hybridization of known ligands. Application to CDK2, p38, and HIV protease.

Authors:  Albert C Pierce; Govinda Rao; Guy W Bemis
Journal:  J Med Chem       Date:  2004-05-20       Impact factor: 7.446

4.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Authors:  Thomas A Halgren; Robert B Murphy; Richard A Friesner; Hege S Beard; Leah L Frye; W Thomas Pollard; Jay L Banks
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

5.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

6.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

Authors:  Richard A Friesner; Robert B Murphy; Matthew P Repasky; Leah L Frye; Jeremy R Greenwood; Thomas A Halgren; Paul C Sanschagrin; Daniel T Mainz
Journal:  J Med Chem       Date:  2006-10-19       Impact factor: 7.446

7.  Enhancement of chemical rules for predicting compound reactivity towards protein thiol groups.

Authors:  James T Metz; Jeffrey R Huth; Philip J Hajduk
Journal:  J Comput Aided Mol Des       Date:  2007-03-06       Impact factor: 3.686

8.  New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays.

Authors:  Jonathan B Baell; Georgina A Holloway
Journal:  J Med Chem       Date:  2010-04-08       Impact factor: 7.446

9.  Rules for identifying potentially reactive or promiscuous compounds.

Authors:  Robert F Bruns; Ian A Watson
Journal:  J Med Chem       Date:  2012-10-25       Impact factor: 7.446

10.  Escape from flatland: increasing saturation as an approach to improving clinical success.

Authors:  Frank Lovering; Jack Bikker; Christine Humblet
Journal:  J Med Chem       Date:  2009-11-12       Impact factor: 7.446

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  2 in total

1.  Implicit-descriptor ligand-based virtual screening by means of collaborative filtering.

Authors:  Raghuram Srinivas; Pavel V Klimovich; Eric C Larson
Journal:  J Cheminform       Date:  2018-11-22       Impact factor: 5.514

2.  Network pharmacology based virtual screening of active constituents of Prunella vulgaris L. and the molecular mechanism against breast cancer.

Authors:  Xiaobo Zhang; Tao Shen; Xin Zhou; Xuehua Tang; Rui Gao; Lu Xu; Long Wang; Zubin Zhou; Jingjing Lin; Yuanzhang Hu
Journal:  Sci Rep       Date:  2020-09-25       Impact factor: 4.379

  2 in total

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