Literature DB >> 16492165

The use of three-dimensional shape and electrostatic similarity searching in the identification of a melanin-concentrating hormone receptor 1 antagonist.

Steven W Muchmore1, Andrew J Souers, Irini Akritopoulou-Zanze.   

Abstract

To aid in the identification of novel melanin-concentrating hormone receptor 1 (MCHr1) antagonists, a unique virtual library of readily synthesized molecules was designed and assembled based on 323 monomer compounds containing reactive moieties in combination with 30 core molecules having diamine functionality. The resulting library of 3,129,870 molecules was searched using three-dimensional shape similarity measures that were complimented with a novel electrostatic distribution similarity-matching algorithm. One of the top scoring hits in this library was synthesized and characterized for MCHr1 antagonism, where it exhibited at least a threefold improvement in binding affinity and cellular potency relative to the parent MCHr1 ligand. This work demonstrates that the use of shape and electrostatic similarity matching in combination with a well-designed virtual library can be used to augment standard medicinal chemistry techniques.

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Year:  2006        PMID: 16492165     DOI: 10.1111/j.1747-0285.2006.00341.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  22 in total

1.  Comparative modeling and virtual screening for the identification of novel inhibitors for myo-inositol-1-phosphate synthase.

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2.  ROCS-derived features for virtual screening.

Authors:  Steven Kearnes; Vijay Pande
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3.  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

4.  Shape-based virtual screening with volumetric aligned molecular shapes.

Authors:  David Ryan Koes; Carlos J Camacho
Journal:  J Comput Chem       Date:  2014-07-22       Impact factor: 3.376

5.  Molecular graph convolutions: moving beyond fingerprints.

Authors:  Steven Kearnes; Kevin McCloskey; Marc Berndl; Vijay Pande; Patrick Riley
Journal:  J Comput Aided Mol Des       Date:  2016-08-24       Impact factor: 3.686

6.  Discovery of a novel and potent class of F. tularensis enoyl-reductase (FabI) inhibitors by molecular shape and electrostatic matching.

Authors:  Kirk E Hevener; Shahila Mehboob; Pin-Chih Su; Kent Truong; Teuta Boci; Jiangping Deng; Mahmood Ghassemi; James L Cook; Michael E Johnson
Journal:  J Med Chem       Date:  2011-12-05       Impact factor: 7.446

7.  Modulation of alpha-synuclein aggregation by dopamine analogs.

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Journal:  PLoS One       Date:  2010-02-16       Impact factor: 3.240

8.  Molecular shape and medicinal chemistry: a perspective.

Authors:  Anthony Nicholls; Georgia B McGaughey; Robert P Sheridan; Andrew C Good; Gregory Warren; Magali Mathieu; Steven W Muchmore; Scott P Brown; J Andrew Grant; James A Haigh; Neysa Nevins; Ajay N Jain; Brian Kelley
Journal:  J Med Chem       Date:  2010-05-27       Impact factor: 7.446

9.  Identification, structure-activity relationships and molecular modeling of potent triamine and piperazine opioid ligands.

Authors:  Austin B Yongye; Jon R Appel; Marc A Giulianotti; Colette T Dooley; Jose L Medina-Franco; Adel Nefzi; Richard A Houghten; Karina Martínez-Mayorga
Journal:  Bioorg Med Chem       Date:  2009-06-21       Impact factor: 3.641

10.  Structure-guided approach identifies a novel class of HIV-1 ribonuclease H inhibitors: binding mode insights through magnesium complexation and site-directed mutagenesis studies.

Authors:  Vasanthanathan Poongavanam; Angela Corona; Casper Steinmann; Luigi Scipione; Nicole Grandi; Fabiana Pandolfi; Roberto Di Santo; Roberta Costi; Francesca Esposito; Enzo Tramontano; Jacob Kongsted
Journal:  Medchemcomm       Date:  2018-02-01       Impact factor: 3.597

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