Literature DB >> 8804827

Computational methods for biomolecular docking.

T Lengauer1, M Rarey.   

Abstract

With the rapidly increasing amount of molecular biological data available, the computer-based analysis of molecular interactions becomes more and more feasible. Methods for computer-aided molecular docking have to include a reasonably accurate model of energy and must be able to deal with the combinatorial complexity incurred by the molecular flexibility of the docking partners. In both respects, recent years have seen substantial progress.

Mesh:

Year:  1996        PMID: 8804827     DOI: 10.1016/s0959-440x(96)80061-3

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


  103 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.  Modeling helix-turn-helix protein-induced DNA bending with knowledge-based distance restraints.

Authors:  W S Tzou; M J Hwang
Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

3.  Statistical relationships among docking scores for different protein binding sites.

Authors:  R T Koehler; H O Villar
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

4.  Structure prediction of protein complexes by an NMR-based protein docking algorithm.

Authors:  O Kohlbache; A Burchardt; A Moll; A Hildebrandt; P Bayer; H P Lenhof
Journal:  J Biomol NMR       Date:  2001-05       Impact factor: 2.835

5.  Q-fit: a probabilistic method for docking molecular fragments by sampling low energy conformational space.

Authors:  Richard M Jackson
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

6.  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

7.  Importance of accurate charges in molecular docking: quantum mechanical/molecular mechanical (QM/MM) approach.

Authors:  Art E Cho; Victor Guallar; Bruce J Berne; Richard Friesner
Journal:  J Comput Chem       Date:  2005-07-15       Impact factor: 3.376

8.  A new peptide docking strategy using a mean field technique with mutually orthogonal Latin square sampling.

Authors:  P Arun Prasad; N Gautham
Journal:  J Comput Aided Mol Des       Date:  2008-05-09       Impact factor: 3.686

9.  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

10.  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

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