Literature DB >> 7608743

Flexible ligand docking using a genetic algorithm.

C M Oshiro1, I D Kuntz, J S Dixon.   

Abstract

Two computational techniques have been developed to explore the orientational and conformational space of a flexible ligand within an enzyme. Both methods use the Genetic Algorithm (GA) to generate conformationally flexible ligands in conjunction with algorithms from the DOCK suite of programs to characterize the receptor site. The methods are applied to three enzyme-ligand complexes: dihydrofolate reductase-methotrexate, thymidylate synthase-phenolpthalein and HIV protease-thioketal haloperidol. Conformations and orientations close to the crystallographically determined structures are obtained, as well as alternative structures with low energy. The potential for the GA method to screen a database of compounds is also examined. A collection of ligands is evaluated simultaneously, rather than docking the ligands individually into the enzyme.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7608743     DOI: 10.1007/BF00124402

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


  33 in total

1.  CLIX: a search algorithm for finding novel ligands capable of binding proteins of known three-dimensional structure.

Authors:  M C Lawrence; P C Davis
Journal:  Proteins       Date:  1992-01

Review 2.  Structure-based strategies for drug design and discovery.

Authors:  I D Kuntz
Journal:  Science       Date:  1992-08-21       Impact factor: 47.728

3.  A robust and efficient automated docking algorithm for molecular recognition.

Authors:  N Kasinos; G A Lilley; N Subbarao; I Haneef
Journal:  Protein Eng       Date:  1992-01

4.  Automated site-directed drug design using molecular lattices.

Authors:  R A Lewis; D C Roe; C Huang; T E Ferrin; R Langridge; I D Kuntz
Journal:  J Mol Graph       Date:  1992-06

5.  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

6.  Constrained search of conformational hyperspace.

Authors:  R A Dammkoehler; S F Karasek; E F Shands; G R Marshall
Journal:  J Comput Aided Mol Des       Date:  1989-03       Impact factor: 3.686

7.  Automated docking in crystallography: analysis of the substrates of aconitase.

Authors:  D S Goodsell; H Lauble; C D Stout; A J Olson
Journal:  Proteins       Date:  1993-09

8.  SPROUT: recent developments in the de novo design of molecules.

Authors:  V J Gillet; W Newell; P Mata; G Myatt; S Sike; Z Zsoldos; A P Johnson
Journal:  J Chem Inf Comput Sci       Date:  1994 Jan-Feb

9.  Solvent-accessible surfaces of proteins and nucleic acids.

Authors:  M L Connolly
Journal:  Science       Date:  1983-08-19       Impact factor: 47.728

10.  Structure of a non-peptide inhibitor complexed with HIV-1 protease. Developing a cycle of structure-based drug design.

Authors:  E Rutenber; E B Fauman; R J Keenan; S Fong; P S Furth; P R Ortiz de Montellano; E Meng; I D Kuntz; D L DeCamp; R Salto
Journal:  J Biol Chem       Date:  1993-07-25       Impact factor: 5.157

View more
  43 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.  The crystal structure of a bacterial, bifunctional 5,10 methylene-tetrahydrofolate dehydrogenase/cyclohydrolase.

Authors:  B W Shen; D H Dyer; J Y Huang; L D'Ari; J Rabinowitz; B L Stoddard
Journal:  Protein Sci       Date:  1999-06       Impact factor: 6.725

3.  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

4.  MCDOCK: a Monte Carlo simulation approach to the molecular docking problem.

Authors:  M Liu; S Wang
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

5.  DREAM++: flexible docking program for virtual combinatorial libraries.

Authors:  S Makino; T J Ewing; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

6.  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

7.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

8.  DOCK 4.0: search strategies for automated molecular docking of flexible molecule databases.

Authors:  T J Ewing; S Makino; A G Skillman; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

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

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

10.  Development and testing of a de novo drug-design algorithm.

Authors:  Eric Pellegrini; Martin J Field
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.