Literature DB >> 7751867

PRO-LIGAND: an approach to de novo molecular design. 1. Application to the design of organic molecules.

D E Clark1, D Frenkel, S A Levy, J Li, C W Murray, B Robson, B Waszkowycz, D R Westhead.   

Abstract

An approach to de novo molecular design, PRO-LIGAND, has been developed that, in the environment of a large, integrated molecular design and simulation system, provides a unified framework for the generation of novel molecules which are either similar or complementary to a specified target. The approach is based on a methodology that has proved to be effective in other studies--placing molecular fragments upon target interaction sites-but incorporates many novel features such as the use of a rapid graph-theoretical algorithm for fragment placing, a generalised driver for structure generation which offers a large variety of fragment assembly strategies to the user and the pre-screening of library fragments. After a detailed description of the relevant modules of the package, PRO-LIGAND's efficacy in aiding rational drug design is demonstrated by its ability to design mimics of methotrexate and potential inhibitors for dihydrofolate reductase and HIV-1 protease.

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Year:  1995        PMID: 7751867     DOI: 10.1007/BF00117275

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


  38 in total

Review 1.  Structure-based strategies for drug design and discovery.

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

2.  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

3.  Computer design of bioactive molecules: a method for receptor-based de novo ligand design.

Authors:  J B Moon; W J Howe
Journal:  Proteins       Date:  1991

Review 4.  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

5.  Identification of tertiary structure resemblance in proteins using a maximal common subgraph isomorphism algorithm.

Authors:  H M Grindley; P J Artymiuk; D W Rice; P Willett
Journal:  J Mol Biol       Date:  1993-02-05       Impact factor: 5.469

6.  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

7.  Automated molecular design: a new fragment-joining algorithm.

Authors:  A R Leach; S R Kilvington
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

8.  Crystallographic analysis of a complex between human immunodeficiency virus type 1 protease and acetyl-pepstatin at 2.0-A resolution.

Authors:  P M Fitzgerald; B M McKeever; J F VanMiddlesworth; J P Springer; J C Heimbach; C T Leu; W K Herber; R A Dixon; P L Darke
Journal:  J Biol Chem       Date:  1990-08-25       Impact factor: 5.157

9.  Fast drug-receptor mapping by site-directed distances: a novel method of predicting new pharmacological leads.

Authors:  A S Smellie; G M Crippen; W G Richards
Journal:  J Chem Inf Comput Sci       Date:  1991-08

10.  A unique geometry of the active site of angiotensin-converting enzyme consistent with structure-activity studies.

Authors:  D Mayer; C B Naylor; I Motoc; G R Marshall
Journal:  J Comput Aided Mol Des       Date:  1987-04       Impact factor: 3.686

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  21 in total

1.  A very large diversity space of synthetically accessible compounds for use with drug design programs.

Authors:  Sergey Nikitin; Natalia Zaitseva; Olga Demina; Vera Solovieva; Evgeny Mazin; Sergey Mikhalev; Maxim Smolov; Anatoly Rubinov; Peter Vlasov; Dmitry Lepikhin; Denis Khachko; Valery Fokin; Cary Queen; Viktor Zosimov
Journal:  J Comput Aided Mol Des       Date:  2005-01       Impact factor: 3.686

2.  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

3.  CONFIRM: connecting fragments found in receptor molecules.

Authors:  David C Thompson; R Aldrin Denny; Ramaswamy Nilakantan; Christine Humblet; Diane Joseph-McCarthy; Eric Feyfant
Journal:  J Comput Aided Mol Des       Date:  2008-07-09       Impact factor: 3.686

Review 4.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

5.  Active-site-directed 3D database searching: pharmacophore extraction and validation of hits.

Authors:  D E Clark; D R Westhead; R A Sykes; C W Murray
Journal:  J Comput Aided Mol Des       Date:  1996-10       Impact factor: 3.686

6.  PRO_SELECT: combining structure-based drug design and combinatorial chemistry for rapid lead discovery. 1. Technology.

Authors:  C W Murray; D E Clark; T R Auton; M A Firth; J Li; R A Sykes; B Waszkowycz; D R Westhead; S C Young
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

7.  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

8.  PRO-LIGAND: an approach to de novo molecular design. 3. A genetic algorithm for structure refinement.

Authors:  D R Westhead; D E Clark; D Frenkel; J Li; C W Murray; B Robson; B Waszkowycz
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

9.  PRO_LIGAND: an approach to de novo molecular design. 4. Application to the design of peptides.

Authors:  D Frenkel; D E Clark; J Li; C W Murray; B RObson; B Waszkowycz; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

10.  e-LEA3D: a computational-aided drug design web server.

Authors:  Dominique Douguet
Journal:  Nucleic Acids Res       Date:  2010-05-05       Impact factor: 16.971

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