Literature DB >> 9089436

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

C W Murray1, D E Clark, T R Auton, M A Firth, J Li, R A Sykes, B Waszkowycz, D R Westhead, S C Young.   

Abstract

This paper describes a novel methodology, PRO_SELECT, which combines elements of structure-based drug design and combinatorial chemistry to create a new paradigm for accelerated lead discovery. Starting with a synthetically accessible template positioned in the active site of the target of interest, PRO_SELECT employs database searching to generate lists of potential substituents for each substituent position on the template. These substituents are selected on the basis of their being able to couple to the template using known synthetic routes and their possession of the correct functionality to interact with specified residues in the active site. The lists of potential substituents are then screened computationally against the active site using rapid algorithms. An empirical scoring function, correlated to binding free energy, is used to rank the substituents at each position. The highest scoring substituents at each position can then be examined using a variety of techniques and a final selection is made. Combinatorial enumeration of the final lists generates a library of synthetically accessible molecules, which may then be prioritized for synthesis and assay. The results obtained using PRO_SELECT to design thrombin inhibitors are briefly discussed.

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Year:  1997        PMID: 9089436     DOI: 10.1023/a:1008094712424

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


  51 in total

1.  Complex synthetic chemical libraries indexed with molecular tags.

Authors:  M H Ohlmeyer; R N Swanson; L W Dillard; J C Reader; G Asouline; R Kobayashi; M Wigler; W C Still
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-01       Impact factor: 11.205

2.  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

Review 3.  Applications of combinatorial technologies to drug discovery. 1. Background and peptide combinatorial libraries.

Authors:  M A Gallop; R W Barrett; W J Dower; S P Fodor; E M Gordon
Journal:  J Med Chem       Date:  1994-04-29       Impact factor: 7.446

Review 4.  Thrombolysis in acute myocardial infarction.

Authors:  H V Anderson; J T Willerson
Journal:  N Engl J Med       Date:  1993-09-02       Impact factor: 91.245

Review 5.  Protein structure--based drug design.

Authors:  P J Whittle; T L Blundell
Journal:  Annu Rev Biophys Biomol Struct       Date:  1994

6.  Discovery of nanomolar ligands for 7-transmembrane G-protein-coupled receptors from a diverse N-(substituted)glycine peptoid library.

Authors:  R N Zuckermann; E J Martin; D C Spellmeyer; G B Stauber; K R Shoemaker; J M Kerr; G M Figliozzi; D A Goff; M A Siani; R J Simon
Journal:  J Med Chem       Date:  1994-08-19       Impact factor: 7.446

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.  Design of thymidylate synthase inhibitors using protein crystal structures: the synthesis and biological evaluation of a novel class of 5-substituted quinazolinones.

Authors:  S E Webber; T M Bleckman; J Attard; J G Deal; V Kathardekar; K M Welsh; S Webber; C A Janson; D A Matthews; W W Smith
Journal:  J Med Chem       Date:  1993-03-19       Impact factor: 7.446

9.  The refined 1.9-A X-ray crystal structure of D-Phe-Pro-Arg chloromethylketone-inhibited human alpha-thrombin: structure analysis, overall structure, electrostatic properties, detailed active-site geometry, and structure-function relationships.

Authors:  W Bode; D Turk; A Karshikov
Journal:  Protein Sci       Date:  1992-04       Impact factor: 6.725

10.  Structure-based design of inhibitors of purine nucleoside phosphorylase. 1. 9-(arylmethyl) derivatives of 9-deazaguanine.

Authors:  J A Montgomery; S Niwas; J D Rose; J A Secrist; Y S Babu; C E Bugg; M D Erion; W C Guida; S E Ealick
Journal:  J Med Chem       Date:  1993-01-08       Impact factor: 7.446

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  10 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 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

3.  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

4.  Empirical scoring functions. II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of the model.

Authors:  C W Murray; T R Auton; M D Eldridge
Journal:  J Comput Aided Mol Des       Date:  1998-09       Impact factor: 3.686

5.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

6.  Fragment oriented molecular shapes.

Authors:  Ethan Hain; Carlos J Camacho; David Ryan Koes
Journal:  J Mol Graph Model       Date:  2016-04-02       Impact factor: 2.518

7.  Computational Methods Applied to Rational Drug Design.

Authors:  David Ramírez
Journal:  Open Med Chem J       Date:  2016-04-26

8.  Discovery of Novel TASK-3 Channel Blockers Using a Pharmacophore-Based Virtual Screening.

Authors:  David Ramírez; Guierdy Concha; Bárbara Arévalo; Luis Prent-Peñaloza; Leandro Zúñiga; Aytug K Kiper; Susanne Rinné; Miguel Reyes-Parada; Niels Decher; Wendy González; Julio Caballero
Journal:  Int J Mol Sci       Date:  2019-08-17       Impact factor: 5.923

Review 9.  Docking, virtual high throughput screening and in silico fragment-based drug design.

Authors:  Vincent Zoete; Aurélien Grosdidier; Olivier Michielin
Journal:  J Cell Mol Med       Date:  2009-01-21       Impact factor: 5.310

10.  Incorporating Virtual Reactions into a Logic-based Ligand-based Virtual Screening Method to Discover New Leads.

Authors:  Christopher R Reynolds; Stephen H Muggleton; Michael J E Sternberg
Journal:  Mol Inform       Date:  2015-03-20       Impact factor: 3.353

  10 in total

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