Literature DB >> 15003246

Predicting undesirable drug interactions with promiscuous proteins in silico.

Sean Ekins1.   

Abstract

Although computational tools have been used to predict toxic responses resulting from molecules binding either as substrates or inhibitors to proteins, there are complications to be resolved. Some proteins appear promiscuous in their ability to bind a diverse array of hydrophobic molecules. This promiscuity arises from the binding site simultaneously accommodating more than one molecule, multiple separate binding sites, protein flexibility, or a combination of all these properties. With the availability of more crystal structures for these non-target proteins, we should be able to predict binding in silico with a greater accuracy, thus avoiding or managing toxic side effects, therefore ultimately improving the success of drug discovery.

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Year:  2004        PMID: 15003246     DOI: 10.1016/S1359-6446(03)03008-3

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  31 in total

1.  Ensemble perspective for catalytic promiscuity: calorimetric analysis of the active site conformational landscape of a detoxification enzyme.

Authors:  Matthew T Honaker; Mauro Acchione; John P Sumida; William M Atkins
Journal:  J Biol Chem       Date:  2011-10-14       Impact factor: 5.157

2.  Similarity-based descriptors (SIBAR)--a tool for safe exchange of chemical information?

Authors:  Dominik Kaiser; Barbara Zdrazil; Gerhard F Ecker
Journal:  J Comput Aided Mol Des       Date:  2005-10-26       Impact factor: 3.686

Review 3.  Pharmacophore-based discovery of ligands for drug transporters.

Authors:  Cheng Chang; Sean Ekins; Praveen Bahadduri; Peter W Swaan
Journal:  Adv Drug Deliv Rev       Date:  2006-09-26       Impact factor: 15.470

4.  Specificity in molecular design: a physical framework for probing the determinants of binding specificity and promiscuity in a biological environment.

Authors:  Mala L Radhakrishnan; Bruce Tidor
Journal:  J Phys Chem B       Date:  2007-11-03       Impact factor: 2.991

Review 5.  The application of FAST-NMR for the identification of novel drug discovery targets.

Authors:  Robert Powers; Kelly A Mercier; Jennifer C Copeland
Journal:  Drug Discov Today       Date:  2008-02       Impact factor: 7.851

6.  Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers.

Authors:  Khac-Minh Thai; Gerhard F Ecker
Journal:  Mol Divers       Date:  2009-02-14       Impact factor: 2.943

Review 7.  Protein promiscuity and its implications for biotechnology.

Authors:  Irene Nobeli; Angelo D Favia; Janet M Thornton
Journal:  Nat Biotechnol       Date:  2009-02       Impact factor: 54.908

8.  Shape signatures: new descriptors for predicting cardiotoxicity in silico.

Authors:  Dmitriy S Chekmarev; Vladyslav Kholodovych; Konstantin V Balakin; Yan Ivanenkov; Sean Ekins; William J Welsh
Journal:  Chem Res Toxicol       Date:  2008-05-08       Impact factor: 3.739

9.  Cardio-vascular safety beyond hERG: in silico modelling of a guinea pig right atrium assay.

Authors:  Luca A Fenu; Ard Teisman; Stefan S De Buck; Vikash K Sinha; Ron A H J Gilissen; Marjoleen J M A Nijsen; Claire E Mackie; Wendy E Sanderson
Journal:  J Comput Aided Mol Des       Date:  2009-11-05       Impact factor: 3.686

10.  Ligand-receptor interaction between triterpenoids and the 11beta-hydroxysteroid dehydrogenase type 2 (11betaHSD2) enzyme predicts their toxic effects against tumorigenic r/m HM-SFME-1 cells.

Authors:  Hideaki Yamaguchi; Tao Yu; Toshiro Noshita; Yumi Kidachi; Katsuyoshi Kamiie; Kenji Yoshida; Tatsuo Akitaya; Hironori Umetsu; Kazuo Ryoyama
Journal:  J Biol Chem       Date:  2011-08-31       Impact factor: 5.157

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