Literature DB >> 18612831

CONFIRM: connecting fragments found in receptor molecules.

David C Thompson1, R Aldrin Denny, Ramaswamy Nilakantan, Christine Humblet, Diane Joseph-McCarthy, Eric Feyfant.   

Abstract

A novel algorithm for the connecting of fragment molecules is presented and validated for a number of test systems. Within the CONFIRM (Connecting Fragments Found in Receptor Molecules) approach a pre-prepared library of bridges is searched to extract those which match a search criterion derived from known experimental or computational binding information about fragment molecules within a target binding site. The resulting bridge 'hits' are then connected, in an automated fashion, to the fragments and docked into the target receptor. Docking poses are assessed in terms of root-mean-squared deviation from the known positions of the fragment molecules, as well as docking score should known inhibitors be available. The creation of the bridge library, the full details and novelty of the CONFIRM algorithm, and the general applicability of this approach within the field of fragment-based de novo drug design are discussed.

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Year:  2008        PMID: 18612831     DOI: 10.1007/s10822-008-9221-8

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


  56 in total

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Authors:  B P Klaholz; A Mitschler; M Belema; C Zusi; D Moras
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

2.  SMall Molecule Growth 2001 (SMoG2001): an improved knowledge-based scoring function for protein-ligand interactions.

Authors:  Alexey V Ishchenko; Eugene I Shakhnovich
Journal:  J Med Chem       Date:  2002-06-20       Impact factor: 7.446

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Authors:  Christopher W Murray; Marcel L Verdonk
Journal:  J Comput Aided Mol Des       Date:  2002-10       Impact factor: 3.686

Review 4.  Computer-based de novo design of drug-like molecules.

Authors:  Gisbert Schneider; Uli Fechner
Journal:  Nat Rev Drug Discov       Date:  2005-08       Impact factor: 84.694

5.  Physics-based scoring of protein-ligand complexes: enrichment of known inhibitors in large-scale virtual screening.

Authors:  Niu Huang; Chakrapani Kalyanaraman; John J Irwin; Matthew P Jacobson
Journal:  J Chem Inf Model       Date:  2006 Jan-Feb       Impact factor: 4.956

Review 6.  Critical review of the role of HTS in drug discovery.

Authors:  Ricardo Macarron
Journal:  Drug Discov Today       Date:  2006-04       Impact factor: 7.851

7.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

Authors:  Richard A Friesner; Robert B Murphy; Matthew P Repasky; Leah L Frye; Jeremy R Greenwood; Thomas A Halgren; Paul C Sanschagrin; Daniel T Mainz
Journal:  J Med Chem       Date:  2006-10-19       Impact factor: 7.446

8.  Crystal structure of the RAR-gamma ligand-binding domain bound to all-trans retinoic acid.

Authors:  J P Renaud; N Rochel; M Ruff; V Vivat; P Chambon; H Gronemeyer; D Moras
Journal:  Nature       Date:  1995-12-14       Impact factor: 49.962

9.  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

10.  A canonical structure for the ligand-binding domain of nuclear receptors.

Authors:  J M Wurtz; W Bourguet; J P Renaud; V Vivat; P Chambon; D Moras; H Gronemeyer
Journal:  Nat Struct Biol       Date:  1996-01
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  5 in total

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Journal:  J Comput Aided Mol Des       Date:  2009-06-30       Impact factor: 3.686

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Journal:  J Chem Inf Model       Date:  2017-04-04       Impact factor: 4.956

Review 4.  Targeting RNA structures in diseases with small molecules.

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Journal:  Essays Biochem       Date:  2020-12-07       Impact factor: 8.000

5.  Deep Generative Models for 3D Linker Design.

Authors:  Fergus Imrie; Anthony R Bradley; Mihaela van der Schaar; Charlotte M Deane
Journal:  J Chem Inf Model       Date:  2020-04-02       Impact factor: 4.956

  5 in total

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