Literature DB >> 12831892

Ligand binding: functional site location, similarity and docking.

Stephen J Campbell1, Nicola D Gold, Richard M Jackson, David R Westhead.   

Abstract

Computational methods for the detection and characterisation of protein ligand-binding sites have increasingly become an area of interest now that large amounts of protein structural information are becoming available prior to any knowledge of protein function. There have been particularly interesting recent developments in the following areas: first, functional site detection, whereby protein evolutionary information has been used to locate binding sites on the protein surface; second, functional site similarity, whereby structural similarity and three-dimensional templates can be used to compare and classify and potentially locate new binding sites; and third, ligand docking, which is being used to find and validate functional sites, in addition to having more conventional uses in small-molecule lead discovery.

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Year:  2003        PMID: 12831892     DOI: 10.1016/s0959-440x(03)00075-7

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  49 in total

1.  The distribution of ligand-binding pockets around protein-protein interfaces suggests a general mechanism for pocket formation.

Authors:  Mu Gao; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-21       Impact factor: 11.205

2.  Balancing target flexibility and target denaturation in computational fragment-based inhibitor discovery.

Authors:  Theresa J Foster; Alexander D MacKerell; Olgun Guvench
Journal:  J Comput Chem       Date:  2012-05-28       Impact factor: 3.376

3.  FAST-NMR: functional annotation screening technology using NMR spectroscopy.

Authors:  Kelly A Mercier; Michael Baran; Viswanathan Ramanathan; Peter Revesz; Rong Xiao; Gaetano T Montelione; Robert Powers
Journal:  J Am Chem Soc       Date:  2006-11-29       Impact factor: 15.419

Review 4.  The application of FAST-NMR for the identification of novel drug discovery targets.

Authors:  Robert Powers; Kelly A Mercier; Jennifer C Copeland
Journal:  Drug Discov Today       Date:  2008-02       Impact factor: 7.851

5.  A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-28       Impact factor: 11.205

6.  Lessons for fragment library design: analysis of output from multiple screening campaigns.

Authors:  I-Jen Chen; Roderick E Hubbard
Journal:  J Comput Aided Mol Des       Date:  2009-06-03       Impact factor: 3.686

7.  Knowing when to give up: early-rejection stratagems in ligand docking.

Authors:  Gwyn Skone; Irina Voiculescu; Stephen Cameron
Journal:  J Comput Aided Mol Des       Date:  2009-07-08       Impact factor: 3.686

8.  Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments.

Authors:  Lei Xie; Philip E Bourne
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-02       Impact factor: 11.205

9.  Validation of arsenic resistance in Bacillus cereus strain AG27 by comparative protein modeling of arsC gene product.

Authors:  Sourabh Jain; Bhoomika Saluja; Abhishek Gupta; Soma S Marla; Reeta Goel
Journal:  Protein J       Date:  2011-02       Impact factor: 2.371

10.  Structural descriptor database: a new tool for sequence-based functional site prediction.

Authors:  Juliana S Bernardes; Jorge H Fernandez; Ana Tereza R Vasconcelos
Journal:  BMC Bioinformatics       Date:  2008-11-25       Impact factor: 3.169

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