Literature DB >> 17425298

Virtual screening for novel openers of pancreatic K(ATP) channels.

Emanuele Carosati1, Raimund Mannhold, Philip Wahl, John Bondo Hansen, Tinna Fremming, Ismael Zamora, Giovanni Cianchetta, Massimo Baroni.   

Abstract

Ligand-based virtual screening approaches were applied to search for new chemotype KCOs activating Kir6.2/SUR1 KATP channels. A total of 65 208 commercially available compounds, extracted from the ZINC archive, served as database for screening. In a first step, pharmacokinetic filtering via VolSurf reduced the initial database to 1913 compounds. Afterward, six molecules were selected as templates for similarity searches: similarity scores, obtained toward these templates, were calculated with the GRIND, FLAP, and TOPP approaches, which differently encode structural information into potential pharmacophores. In this way, we obtained 32 hit candidates, 16 via GRIND and eight each via FLAP and TOPP. For biological testing of the hit candidates, their effects on membrane potentials in HEK 293 cells expressing Kir6.2/SUR1 were studied. GRIND, FLAP, and TOPP all yielded hits, but no method top-ranked all the actives. Thus, parallel application of different approaches probably improves hit detection.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17425298     DOI: 10.1021/jm061440p

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  5 in total

1.  Ligand-, structure- and pharmacophore-based molecular fingerprints: a case study on adenosine A(1), A (2A), A (2B), and A (3) receptor antagonists.

Authors:  Francesco Sirci; Laura Goracci; David Rodríguez; Jacqueline van Muijlwijk-Koezen; Hugo Gutiérrez-de-Terán; Raimund Mannhold
Journal:  J Comput Aided Mol Des       Date:  2012-10-12       Impact factor: 3.686

2.  A novel approach for predicting P-glycoprotein (ABCB1) inhibition using molecular interaction fields.

Authors:  Fabio Broccatelli; Emanuele Carosati; Annalisa Neri; Maria Frosini; Laura Goracci; Tudor I Oprea; Gabriele Cruciani
Journal:  J Med Chem       Date:  2011-02-22       Impact factor: 7.446

3.  BDDCS class prediction for new molecular entities.

Authors:  Fabio Broccatelli; Gabriele Cruciani; Leslie Z Benet; Tudor I Oprea
Journal:  Mol Pharm       Date:  2012-02-07       Impact factor: 4.939

4.  Lead generation and optimization based on protein-ligand complementarity.

Authors:  Koji Ogata; Tetsu Isomura; Shinji Kawata; Hiroshi Yamashita; Hideo Kubodera; Shoshana J Wodak
Journal:  Molecules       Date:  2010-06-17       Impact factor: 4.411

5.  Isozyme-specific ligands for O-acetylserine sulfhydrylase, a novel antibiotic target.

Authors:  Francesca Spyrakis; Ratna Singh; Pietro Cozzini; Barbara Campanini; Enea Salsi; Paolo Felici; Samanta Raboni; Paolo Benedetti; Gabriele Cruciani; Glen E Kellogg; Paul F Cook; Andrea Mozzarelli
Journal:  PLoS One       Date:  2013-10-22       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.