Literature DB >> 7663131

Flexible docking and design.

R Rosenfeld1, S Vajda, C DeLisi.   

Abstract

Docking and design are the major computational steps toward understanding and affecting receptor-ligand interactions. The flexibility of many ligands makes these calculations difficult and requires the development and use of special methods. The need for such tools is illustrated by two examples: the design of protease inhibitors and the analysis and design of peptide antigens binding to specific MHC receptors. We review the computational concepts that have been extended from rigid-body to flexible docking, as well as the following important strategies for flexible docking and design: (a) Monte Carlo/molecular dynamics docking, (b) in-site combinatorial search, (c) ligand build-up, and (d) site mapping and fragment assembly. The use of empirical free energy as a target function is discussed. Due to the rapid development of the methodology, most new methods have been tested on only a limited number of applications and are likely to improve results obtained by more traditional computational or graphic tools.

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Substances:

Year:  1995        PMID: 7663131     DOI: 10.1146/annurev.bb.24.060195.003333

Source DB:  PubMed          Journal:  Annu Rev Biophys Biomol Struct        ISSN: 1056-8700


  25 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.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

3.  Comparison of two implementations of the incremental construction algorithm in flexible docking of thrombin inhibitors.

Authors:  R M Knegtel; D M Bayada; R A Engh; W von der Saal; V J van Geerestein; P D Grootenhuis
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

4.  Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR.

Authors:  A V Filikov; V Mohan; T A Vickers; R H Griffey; P D Cook; R A Abagyan; T L James
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

Review 5.  Natively unfolded proteins: a point where biology waits for physics.

Authors:  Vladimir N Uversky
Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

6.  Computational mapping identifies the binding sites of organic solvents on proteins.

Authors:  Sheldon Dennis; Tamas Kortvelyesi; Sandor Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

7.  Free energy landscapes of encounter complexes in protein-protein association.

Authors:  C J Camacho; Z Weng; S Vajda; C DeLisi
Journal:  Biophys J       Date:  1999-03       Impact factor: 4.033

Review 8.  Ligand discovery and virtual screening using the program LIDAEUS.

Authors:  P Taylor; E Blackburn; Y G Sheng; S Harding; K-Y Hsin; D Kan; S Shave; M D Walkinshaw
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

9.  Docking simulation and antibiotic discovery targeting the MlaC protein in Gram-negative bacteria.

Authors:  Yu-Ming M Huang; Jason Munguia; Yinglong Miao; Victor Nizet; J Andrew McCammon
Journal:  Chem Biol Drug Des       Date:  2019-02-19       Impact factor: 2.817

Review 10.  Intrinsically disordered proteins and their environment: effects of strong denaturants, temperature, pH, counter ions, membranes, binding partners, osmolytes, and macromolecular crowding.

Authors:  Vladimir N Uversky
Journal:  Protein J       Date:  2009-10       Impact factor: 2.371

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