Literature DB >> 11394737

Protein ligand docking based on empirical method for binding affinity estimation.

P Tao1, L Lai.   

Abstract

An empirical protein-ligand binding affinity estimation method, SCORE, was incorporated into a popular docking program, DOCK4. The combined program, ScoreDock, was used to reconstruct the 200 protein-ligand complex structures and found to give good results for the complexes with high binding affinities. A quality assessment method for docking results from ScoreDock was developed based on the whole test set and tested by additionally selected complexes. The method significantly improves the docking accuracy and was shown to be reliable in docking quality assessment. As a docking tool in structural based drug design, ScoreDock can screen out final hits directly based on the predicted negative logarithms of dissociation equilibrium constants of protein-ligand complexes, and can explicitly deal with structure water molecules, as well as metal atoms.

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Year:  2001        PMID: 11394737     DOI: 10.1023/a:1011188704521

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


  35 in total

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Authors:  S Y Yue
Journal:  Protein Eng       Date:  1990-12

2.  Docking by least-squares fitting of molecular surface patterns.

Authors:  D J Bacon; J Moult
Journal:  J Mol Biol       Date:  1992-06-05       Impact factor: 5.469

3.  CONCERTS: dynamic connection of fragments as an approach to de novo ligand design.

Authors:  D A Pearlman; M A Murcko
Journal:  J Med Chem       Date:  1996-04-12       Impact factor: 7.446

4.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

5.  A modified version of the Cornell et al. force field with improved sugar pucker phases and helical repeat.

Authors:  T E Cheatham; P Cieplak; P A Kollman
Journal:  J Biomol Struct Dyn       Date:  1999-02

6.  Flexible ligand docking using a genetic algorithm.

Authors:  C M Oshiro; I D Kuntz; J S Dixon
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

7.  BUILDER v.2: improving the chemistry of a de novo design strategy.

Authors:  D C Roe; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

8.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

Review 9.  Protein structure--based drug design.

Authors:  P J Whittle; T L Blundell
Journal:  Annu Rev Biophys Biomol Struct       Date:  1994

10.  Monte Carlo docking of protein-DNA complexes: incorporation of DNA flexibility and experimental data.

Authors:  R M Knegtel; R Boelens; R Kaptein
Journal:  Protein Eng       Date:  1994-06
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  3 in total

1.  A fast protein-ligand docking algorithm based on hydrogen bond matching and surface shape complementarity.

Authors:  Wenjia Luo; Jianfeng Pei; Yushan Zhu
Journal:  J Mol Model       Date:  2009-10-13       Impact factor: 1.810

Review 2.  Application of NMR and molecular docking in structure-based drug discovery.

Authors:  Jaime L Stark; Robert Powers
Journal:  Top Curr Chem       Date:  2012

3.  A Combinatorial approach: To design inhibitory molecules on Hemagglutinin protein of H1N1 virus (Swine Flu).

Authors:  Chekkara Venkata Satya Siva Prasad; Kamal Kumar Chaudhary; Parul Dinkar
Journal:  Bioinformation       Date:  2013-06-29
  3 in total

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