Literature DB >> 7648325

Ligand-protein docking and rational drug design.

T P Lybrand1.   

Abstract

Over the past year there have been some interesting and significant advances in computer-based ligand-protein docking techniques and related rational drug-design tools, including flexible ligand docking and better estimation of binding free energies and solvation energies. As a result, the successful use of computational tools to help generate interesting new guide (lead) compounds for targeted receptors is becoming more commonplace.

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Year:  1995        PMID: 7648325     DOI: 10.1016/0959-440x(95)80080-8

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


  19 in total

1.  The sensitivity of the results of molecular docking to induced fit effects: application to thrombin, thermolysin and neuraminidase.

Authors:  C W Murray; C A Baxter; A D Frenkel
Journal:  J Comput Aided Mol Des       Date:  1999-11       Impact factor: 3.686

2.  Receptor-based 3D QSAR analysis of estrogen receptor ligands--merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods.

Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

3.  Side-chain modeling with an optimized scoring function.

Authors:  Shide Liang; Nick V Grishin
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

Review 4.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

5.  Molecular docking studies of protein-nucleotide complexes using MOLSDOCK (mutually orthogonal Latin squares DOCK).

Authors:  Shankaran Nehru Viji; Nagarajan Balaji; Namasivayam Gautham
Journal:  J Mol Model       Date:  2012-03-01       Impact factor: 1.810

6.  Multiple automatic base selection: protein-ligand docking based on incremental construction without manual intervention.

Authors:  M Rarey; B Kramer; T Lengauer
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

Review 7.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

8.  A comparison of heuristic search algorithms for molecular docking.

Authors:  D R Westhead; D E Clark; C W Murray
Journal:  J Comput Aided Mol Des       Date:  1997-05       Impact factor: 3.686

9.  Anthranilate derivatives as TACE inhibitors: docking based CoMFA and CoMSIA analyses.

Authors:  Malkeet Singh Bahia; Shravan Kumar Gunda; Shwetha Reddy Gade; Saikh Mahmood; Ravikumar Muttineni; Om Silakari
Journal:  J Mol Model       Date:  2010-03-28       Impact factor: 1.810

10.  Enzyme-inhibitor association thermodynamics: explicit and continuum solvent studies.

Authors:  H Resat; T J Marrone; J A McCammon
Journal:  Biophys J       Date:  1997-02       Impact factor: 4.033

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