Literature DB >> 12188022

Flexible docking under pharmacophore type constraints.

Sally A Hindle1, Matthias Rarey, Christian Buning, Thomas Lengaue.   

Abstract

FLEXX-PHARM, an extended version of the flexible docking tool FLEXX, allows the incorporation of information about important characteristics of protein-ligand binding modes into a docking calculation. This information is introduced as a simple set of constraints derived from receptor-based type pharmacophore features. The constraints are determined by selected FLEXX interactions and inclusion volumes in the receptor active site. They guide the docking process to produce a set of docking solutions with particular properties. By applying a series of look-ahead checks during the flexible construction of ligand fragments within the active site, FLEXX-PHARM determines which partially built docking solutions can potentially obey the constraints. Solutions that will not obey the constraints are deleted as early as possible, often decreasing the calculation time and enabling new docking solutions to emerge. FLEXX-PHARM was evaluated on various individual protein-ligand complexes where the top docking solutions generated by FLEXX had high root mean square deviations (RMSD) from the experimentally observed binding modes. FLEXX-PHARM showed an improvement in the RMSD of the top solutions in most cases, along with a reduction in run time. We also tested FLEXX-PHARM as a database screening tool on a small dataset of molecules for three target proteins. In two cases, FLEXX-PHARM missed one or two of the active molecules due to the constraints selected. However, in general FLEXX-PHARM maintained or improved the enrichment shown with FLEXX, while completing the screen in considerably less run time.

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Year:  2002        PMID: 12188022     DOI: 10.1023/a:1016399411208

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


  22 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Structure-based virtual screening protocols.

Authors:  A Good
Journal:  Curr Opin Drug Discov Devel       Date:  2001-05

Review 3.  Recent advances in structure-based rational drug design.

Authors:  P J Gane; P M Dean
Journal:  Curr Opin Struct Biol       Date:  2000-08       Impact factor: 6.809

4.  The computer program LUDI: a new method for the de novo design of enzyme inhibitors.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1992-02       Impact factor: 3.686

5.  Feature trees: a new molecular similarity measure based on tree matching.

Authors:  M Rarey; J S Dixon
Journal:  J Comput Aided Mol Des       Date:  1998-09       Impact factor: 3.686

6.  X-SITE: use of empirically derived atomic packing preferences to identify favourable interaction regions in the binding sites of proteins.

Authors:  R A Laskowski; J M Thornton; C Humblet; J Singh
Journal:  J Mol Biol       Date:  1996-05-31       Impact factor: 5.469

7.  Superposition of three-dimensional chemical structures allowing for conformational flexibility by a hybrid method.

Authors:  S Handschuh; M Wagener; J Gasteiger
Journal:  J Chem Inf Comput Sci       Date:  1998 Mar-Apr

8.  PRO_LIGAND: an approach to de novo molecular design. 6. Flexible fitting in the design of peptides.

Authors:  C W Murray; D E Clark; D G Byrne
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

9.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

10.  On the structure selectivity problem in drug design. A comparative study of benzylpyrimidine inhibition of vertebrate and bacterial dihydrofolate reductase via molecular graphics and quantitative structure-activity relationships.

Authors:  C D Selassie; Z X Fang; R L Li; C Hansch; G Debnath; T E Klein; R Langridge; B T Kaufman
Journal:  J Med Chem       Date:  1989-08       Impact factor: 7.446

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  26 in total

1.  Molecular modelling studies on the ORL1-receptor and ORL1-agonists.

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2.  Substantial improvements in large-scale redocking and screening using the novel HYDE scoring function.

Authors:  Nadine Schneider; Sally Hindle; Gudrun Lange; Robert Klein; Jürgen Albrecht; Hans Briem; Kristin Beyer; Holger Claußen; Marcus Gastreich; Christian Lemmen; Matthias Rarey
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3.  ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

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4.  Ultrafast de novo docking combining pharmacophores and combinatorics.

Authors:  Marcus Gastreich; Markus Lilienthal; Hans Briem; Holger Claussen
Journal:  J Comput Aided Mol Des       Date:  2007-01-30       Impact factor: 3.686

Review 5.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

6.  Improving performance of docking-based virtual screening by structural filtration.

Authors:  Fedor N Novikov; Viktor S Stroylov; Oleg V Stroganov; Ghermes G Chilov
Journal:  J Mol Model       Date:  2009-12-30       Impact factor: 1.810

7.  Second-generation de novo design: a view from a medicinal chemist perspective.

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Journal:  J Comput Aided Mol Des       Date:  2009-06-27       Impact factor: 3.686

8.  In Silico screening on the three-dimensional model of the Plasmodium vivax SUB1 protease leads to the validation of a novel anti-parasite compound.

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Journal:  J Biol Chem       Date:  2013-05-07       Impact factor: 5.157

9.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

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10.  An integrated approach to knowledge-driven structure-based virtual screening.

Authors:  Angela M Henzler; Sascha Urbaczek; Matthias Hilbig; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2014-07-04       Impact factor: 3.686

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