Literature DB >> 8510098

GroupBuild: a fragment-based method for de novo drug design.

S H Rotstein1, M A Murcko.   

Abstract

A novel method for de novo drug design, GroupBuild, has been developed to suggest chemically reasonable structures which fill the active sites of enzymes. The proposed molecules provide good steric and electrostatic contact with the enzyme and exist in low-energy conformations. These structures are composed entirely of individual functional groups (also known as "building blocks" or "fragments") which the program chooses from a predefined library. User-selected enzyme seed atom(s) may be used to determine the area(s) in which structure generation begins. Alternatively, GroupBuild may begin with a predocked "inhibitor core" from which fragments are grown. For each new fragment generated by the program, several thousand candidates in a variety of locations and orientations are considered. Each of these candidates is scored based on a standard molecular mechanics potential function. The selected fragment and orientation are chosen from among the highest scoring cases. Tests of the method using HIV protease, FK506 binding protein, and human carbonic anhydrase demonstrate that structures similar to known potent inhibitors may be generated with GroupBuild.

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Year:  1993        PMID: 8510098     DOI: 10.1021/jm00064a003

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  33 in total

1.  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

2.  A genetic algorithm for structure-based de novo design.

Authors:  S C Pegg; J J Haresco; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

3.  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

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.  Processing multimode binding situations in simulation-based prediction of ligand-macromolecule affinities.

Authors:  Akash Khandelwal; Viera Lukacova; Daniel M Kroll; Soumyendu Raha; Dogan Comez; Stefan Balaz
Journal:  J Phys Chem A       Date:  2005-07-28       Impact factor: 2.781

6.  The concept of template-based de novo design from drug-derived molecular fragments and its application to TAR RNA.

Authors:  Andreas Schüller; Marcel Suhartono; Uli Fechner; Yusuf Tanrikulu; Sven Breitung; Ute Scheffer; Michael W Göbel; Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2007-12-07       Impact factor: 3.686

Review 7.  Prediction of binding constants of protein ligands: a fast method for the prioritization of hits obtained from de novo design or 3D database search programs.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

8.  Free energy mapping of class I MHC molecules and structural determination of bound peptides.

Authors:  U Sezerman; S Vajda; C DeLisi
Journal:  Protein Sci       Date:  1996-07       Impact factor: 6.725

9.  Ligand binding affinity prediction by linear interaction energy methods.

Authors:  T Hansson; J Marelius; J Aqvist
Journal:  J Comput Aided Mol Des       Date:  1998-01       Impact factor: 3.686

10.  Computational combinatorial ligand design: application to human alpha-thrombin.

Authors:  A Caflisch
Journal:  J Comput Aided Mol Des       Date:  1996-10       Impact factor: 3.686

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