Literature DB >> 12660987

Pharmacophore-based molecular docking to account for ligand flexibility.

Diane Joseph-McCarthy1, Bert E Thomas, Michael Belmarsh, Demetri Moustakas, Juan C Alvarez.   

Abstract

Rapid computational mining of large 3D molecular databases is central to generating new drug leads. Accurate virtual screening of large 3D molecular databases requires consideration of the conformational flexibility of the ligand molecules. Ligand flexibility can be included without prohibitively increasing the search time by docking ensembles of precomputed conformers from a conformationally expanded database. A pharmacophore-based docking method whereby conformers of the same or different molecules are overlaid by their largest 3D pharmacophore and simultaneously docked by partial matches to that pharmacophore is presented. The method is implemented in DOCK 4.0. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12660987     DOI: 10.1002/prot.10266

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  16 in total

1.  Gaussian mapping of chemical fragments in ligand binding sites.

Authors:  Kun Wang; Marta Murcia; Pere Constans; Carlos Pérez; Angel R Ortiz
Journal:  J Comput Aided Mol Des       Date:  2004-02       Impact factor: 3.686

2.  ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

Authors:  Markus H J Seifert; Frank Schmitt; Thomas Herz; Bernd Kramer
Journal:  J Mol Model       Date:  2004-10-08       Impact factor: 1.810

Review 3.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

4.  Challenges of fragment screening.

Authors:  Diane Joseph-McCarthy
Journal:  J Comput Aided Mol Des       Date:  2009-06-30       Impact factor: 3.686

5.  GalaxyDock BP2 score: a hybrid scoring function for accurate protein-ligand docking.

Authors:  Minkyung Baek; Woong-Hee Shin; Hwan Won Chung; Chaok Seok
Journal:  J Comput Aided Mol Des       Date:  2017-06-16       Impact factor: 3.686

6.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

Authors:  Sergio Ruiz-Carmona; Xavier Barril
Journal:  J Comput Aided Mol Des       Date:  2016-10-05       Impact factor: 3.686

7.  PatchSurfers: Two methods for local molecular property-based binding ligand prediction.

Authors:  Woong-Hee Shin; Mark Gregory Bures; Daisuke Kihara
Journal:  Methods       Date:  2015-09-30       Impact factor: 3.608

8.  FINDSITE(comb): a threading/structure-based, proteomic-scale virtual ligand screening approach.

Authors:  Hongyi Zhou; Jeffrey Skolnick
Journal:  J Chem Inf Model       Date:  2012-12-28       Impact factor: 4.956

9.  TrixX: structure-based molecule indexing for large-scale virtual screening in sublinear time.

Authors:  Ingo Schellhammer; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2007-02-09       Impact factor: 4.179

10.  Sanjeevini: a freely accessible web-server for target directed lead molecule discovery.

Authors:  B Jayaram; Tanya Singh; Goutam Mukherjee; Abhinav Mathur; Shashank Shekhar; Vandana Shekhar
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

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