Literature DB >> 21947759

Combining 2D and 3D in silico methods for rapid selection of potential PDE5 inhibitors from multimillion compounds' repositories: biological evaluation.

Tünde Tömöri1, István Hajdú, László Barna, Zsolt Lorincz, Sándor Cseh, György Dormán.   

Abstract

Rapid in silico selection of target focused libraries from commercial repositories is an attractive and cost-effective approach when starting new drug discovery projects. If structures of active compounds are available rapid 2D similarity search can be performed on multimillion compounds' databases. This in silico approach can be combined with physico-chemical parameter filtering based on the property space of the active compounds and 3D virtual screening if the structure of the target protein is available. A multi-step virtual screening procedure was developed and applied to select potential phosphodiesterase 5 (PDE5) inhibitors in real time. The combined 2D/3D in silico method resulted in the identification of 14 novel PDE5 inhibitors with <1 μMIC(50) values and the hit rate in the second in silico selection and in vitro screening round exceeded the 20%.

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Year:  2011        PMID: 21947759     DOI: 10.1007/s11030-011-9335-0

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  29 in total

1.  The hidden component of size in two-dimensional fragment descriptors: side effects on sampling in bioactive libraries.

Authors:  S L Dixon; R T Koehler
Journal:  J Med Chem       Date:  1999-07-29       Impact factor: 7.446

2.  Similarity metrics for ligands reflecting the similarity of the target proteins.

Authors:  Ansgar Schuffenhauer; Philipp Floersheim; Pierre Acklin; Edgar Jacoby
Journal:  J Chem Inf Comput Sci       Date:  2003 Mar-Apr

3.  ZINC--a free database of commercially available compounds for virtual screening.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2005 Jan-Feb       Impact factor: 4.956

Review 4.  Similarity-based virtual screening using 2D fingerprints.

Authors:  Peter Willett
Journal:  Drug Discov Today       Date:  2006-10-20       Impact factor: 7.851

Review 5.  Strategies for compound selection.

Authors:  Marius M Olah; Cristian G Bologa; Tudor I Oprea
Journal:  Curr Drug Discov Technol       Date:  2004-10

6.  Design, selection, and evaluation of a general kinase-focused library.

Authors:  Hélène Decornez; Anna Gulyás-Forró; Akos Papp; Miklós Szabó; Gabriella Sármay; István Hajdú; Sándor Cseh; György Dormán; Douglas B Kitchen
Journal:  ChemMedChem       Date:  2009-08       Impact factor: 3.466

7.  Characterization of a purified bovine lung cGMP-binding cGMP phosphodiesterase.

Authors:  M K Thomas; S H Francis; J D Corbin
Journal:  J Biol Chem       Date:  1990-09-05       Impact factor: 5.157

Review 8.  Design of second generation phosphodiesterase 5 inhibitors.

Authors:  Michael J Palmer; Andrew S Bell; David N A Fox; David G Brown
Journal:  Curr Top Med Chem       Date:  2007       Impact factor: 3.295

9.  Discovery of novel human histamine H4 receptor ligands by large-scale structure-based virtual screening.

Authors:  Róbert Kiss; Béla Kiss; Arpád Könczöl; Ferenc Szalai; Ivett Jelinek; Valéria László; Béla Noszál; András Falus; György M Keseru
Journal:  J Med Chem       Date:  2008-05-07       Impact factor: 7.446

10.  An insight into the pharmacophores of phosphodiesterase-5 inhibitors from synthetic and crystal structural studies.

Authors:  Gong Chen; Huanchen Wang; Howard Robinson; Jiwen Cai; Yiqian Wan; Hengming Ke
Journal:  Biochem Pharmacol       Date:  2008-02-12       Impact factor: 5.858

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  3 in total

1.  Discovery of novel Trypanosoma brucei phosphodiesterase B1 inhibitors by virtual screening against the unliganded TbrPDEB1 crystal structure.

Authors:  Chimed Jansen; Huanchen Wang; Albert J Kooistra; Chris de Graaf; Kristina M Orrling; Hermann Tenor; Thomas Seebeck; David Bailey; Iwan J P de Esch; Hengming Ke; Rob Leurs
Journal:  J Med Chem       Date:  2013-03-01       Impact factor: 7.446

2.  Investigation of PDE5/PDE6 and PDE5/PDE11 selective potent tadalafil-like PDE5 inhibitors using combination of molecular modeling approaches, molecular fingerprint-based virtual screening protocols and structure-based pharmacophore development.

Authors:  Gülru Kayık; Nurcan Ş Tüzün; Serdar Durdagi
Journal:  J Enzyme Inhib Med Chem       Date:  2017-12       Impact factor: 5.051

3.  Design and Selection of Novel C1s Inhibitors by In Silico and In Vitro Approaches.

Authors:  Katalin Szilágyi; István Hajdú; Beáta Flachner; Zsolt Lőrincz; Júlia Balczer; Péter Gál; Péter Závodszky; Chiara Pirli; Balázs Balogh; István M Mándity; Sándor Cseh; György Dormán
Journal:  Molecules       Date:  2019-10-09       Impact factor: 4.411

  3 in total

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