Literature DB >> 20346662

The development and validation of a novel virtual screening cascade protocol to identify potential serotonin 5-HT(7)R antagonists.

Rafał Kurczab1, Mateusz Nowak, Zdzisław Chilmonczyk, Ingebrigt Sylte, Andrzej J Bojarski.   

Abstract

In an attempt to identify new ligands for the 5-HT(7) receptor (5-HT(7)R), we developed and tested a hierarchical multi-step strategy of virtual screening (VS) based on two-dimensional (2D) pharmacophore similarity, physicochemical scalar descriptors, an ADME/Tox filter, three-dimensional (3D) pharmacophore searches and a docking protocol. Six chemical classes of 5-HT(7)R antagonists were used as query structures in a double-path virtual screening scheme. The Enamine screening database, consisting of approximately 730,000 commercially available drug-like compounds, was adopted and used as a source of structures. A biological evaluation of 26 finally selected virtual hits resulted in finding two benzodioxane derivatives with significant affinity (K(i)=197 and 265 nM). The approach described in this case study can be easily used as a general rational drug design tool for other biological targets. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20346662     DOI: 10.1016/j.bmcl.2010.03.012

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  7 in total

1.  Ligand discovery from a dopamine D3 receptor homology model and crystal structure.

Authors:  Jens Carlsson; Ryan G Coleman; Vincent Setola; John J Irwin; Hao Fan; Avner Schlessinger; Andrej Sali; Bryan L Roth; Brian K Shoichet
Journal:  Nat Chem Biol       Date:  2011-09-18       Impact factor: 15.040

2.  Non-peptidic cruzain inhibitors with trypanocidal activity discovered by virtual screening and in vitro assay.

Authors:  Helton J Wiggers; Josmar R Rocha; William B Fernandes; Renata Sesti-Costa; Zumira A Carneiro; Juliana Cheleski; Albérico B F da Silva; Luiz Juliano; Maria H S Cezari; João S Silva; James H McKerrow; Carlos A Montanari
Journal:  PLoS Negl Trop Dis       Date:  2013-08-22

3.  An Algorithm to Identify Target-Selective Ligands - A Case Study of 5-HT7/5-HT1A Receptor Selectivity.

Authors:  Rafał Kurczab; Vittorio Canale; Paweł Zajdel; Andrzej J Bojarski
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

4.  Average Information Content Maximization--A New Approach for Fingerprint Hybridization and Reduction.

Authors:  Marek Śmieja; Dawid Warszycki
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

5.  Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands.

Authors:  Dawid Warszycki; Marek Śmieja; Rafał Kafel
Journal:  Mol Divers       Date:  2017-02-09       Impact factor: 2.943

6.  A linear combination of pharmacophore hypotheses as a new tool in search of new active compounds--an application for 5-HT1A receptor ligands.

Authors:  Dawid Warszycki; Stefan Mordalski; Kurt Kristiansen; Rafał Kafel; Ingebrigt Sylte; Zdzisław Chilmonczyk; Andrzej J Bojarski
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

Review 7.  Computational approaches in target identification and drug discovery.

Authors:  Theodora Katsila; Georgios A Spyroulias; George P Patrinos; Minos-Timotheos Matsoukas
Journal:  Comput Struct Biotechnol J       Date:  2016-05-07       Impact factor: 7.271

  7 in total

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