Literature DB >> 8473916

GenStar: a method for de novo drug design.

S H Rotstein1, M A Murcko.   

Abstract

A novel method, which we call GenStar, has been developed to suggest chemically reasonable structures which fill the active sites of enzymes. The proposed molecules provide good steric contact with the enzyme and exist in low-energy conformations. These structures are composed entirely of sp3 carbons which are grown sequentially, but which can also branch or form rings. User-selected enzyme seed atoms may be used to determine the area in which structure generation begins. Alternatively, GenStar may begin with a predocked 'inhibitor core' from which atoms are grown. For each new atom generated by the program, several hundred candidate positions representing a range of reasonable bond lengths, bond angles, and torsion angles are considered. Each of these candidates is scored, based on a simple enzyme contact model. The selected position is chosen at random from among the highest scoring cases. Duplicate structures may be removed using a variety of criteria. The compounds may be energy minimized and displayed using standard modeling programs. Also, it is possible to analyze the collection of all structures created by GenStar and locate binding motifs for common fragments such as benzene and naphthylene. Tests of the method using HIV protease, FK506 binding protein (FKBP-12) and human carbonic anhydrase (HCA-II) demonstrated that structures similar to known potent inhibitors may be generated with GenStar.

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Year:  1993        PMID: 8473916     DOI: 10.1007/bf00141573

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


  61 in total

1.  Distance-constrained molecular docking by simulated annealing.

Authors:  S Y Yue
Journal:  Protein Eng       Date:  1990-12

2.  Solution structure of FKBP, a rotamase enzyme and receptor for FK506 and rapamycin.

Authors:  S W Michnick; M K Rosen; T J Wandless; M Karplus; S L Schreiber
Journal:  Science       Date:  1991-05-10       Impact factor: 47.728

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Journal:  J Am Chem Soc       Date:  1976-05-26       Impact factor: 15.419

4.  Automated site-directed drug design: the prediction and observation of ligand point positions at hydrogen-bonding regions on protein surfaces.

Authors:  D J Danziger; P M Dean
Journal:  Proc R Soc Lond B Biol Sci       Date:  1989-03-22

5.  Internal cavities and buried waters in globular proteins.

Authors:  A A Rashin; M Iofin; B Honig
Journal:  Biochemistry       Date:  1986-06-17       Impact factor: 3.162

Review 6.  Knowledge-based prediction of protein structures and the design of novel molecules.

Authors:  T L Blundell; B L Sibanda; M J Sternberg; J M Thornton
Journal:  Nature       Date:  1987 Mar 26-Apr 1       Impact factor: 49.962

7.  Electronic distributions within protein phenylalanine aromatic rings are reflected by the three-dimensional oxygen atom environments.

Authors:  K A Thomas; G M Smith; T B Thomas; R J Feldmann
Journal:  Proc Natl Acad Sci U S A       Date:  1982-08       Impact factor: 11.205

8.  Molecular recognition. I. Automatic identification of topographic surface features.

Authors:  R H Lee; G D Rose
Journal:  Biopolymers       Date:  1985-08       Impact factor: 2.505

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

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

10.  Energetics of complementary side-chain packing in a protein hydrophobic core.

Authors:  J T Kellis; K Nyberg; A R Fersht
Journal:  Biochemistry       Date:  1989-05-30       Impact factor: 3.162

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  24 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.  Evaluation of designed ligands by a multiple screening method: application to glycogen phosphorylase inhibitors constructed with a variety of approaches.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

3.  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

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.  iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan.

Authors:  Tsung-Ying Tsai; Kai-Wei Chang; Calvin Yu-Chian Chen
Journal:  J Comput Aided Mol Des       Date:  2011-06-07       Impact factor: 3.686

6.  De novo design by pharmacophore-based searches in fragment spaces.

Authors:  Tobias Lippert; Tanja Schulz-Gasch; Olivier Roche; Wolfgang Guba; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2011-09-16       Impact factor: 3.686

Review 7.  Transcription factor-based drug design in anticancer drug development.

Authors:  A G Papavassiliou
Journal:  Mol Med       Date:  1997-12       Impact factor: 6.354

8.  Time-efficient flexible superposition of medium-sized molecules.

Authors:  C Lemmen; T Lengauer
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

9.  Placement of medium-sized molecular fragments into active sites of proteins.

Authors:  M Rarey; S Wefing; T Lengauer
Journal:  J Comput Aided Mol Des       Date:  1996-02       Impact factor: 3.686

10.  Evaluation of a method for controlling molecular scaffold diversity in de novo ligand design.

Authors:  N P Todorov; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

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