Literature DB >> 17107793

Evaluating scoring functions for docking and designing beta-secretase inhibitors.

M Katharine Holloway1, Georgia B McGaughey, Craig A Coburn, Shawn J Stachel, Kristen G Jones, Elizabeth L Stanton, Alison R Gregro, Ming-Tain Lai, Ming-Chih Crouthamel, Beth L Pietrak, Sanjeev K Munshi.   

Abstract

Several simple scoring methods were examined for 2 series of beta-secretase (BACE-1) inhibitors to identify a docking/scoring protocol which could be used to design BACE-1 inhibitors in a drug discovery program. Both the PLP1 score and MMFFs interaction energy (E(inter)) performed as well or better than more computationally intensive methods for a set of substrate-based inhibitors, while the latter performed well for both sets of inhibitors.

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Year:  2006        PMID: 17107793     DOI: 10.1016/j.bmcl.2006.10.051

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


  4 in total

Review 1.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

2.  Computer-assisted combinatorial design of bicyclic thymidine analogs as inhibitors of Mycobacterium tuberculosis thymidine monophosphate kinase.

Authors:  Vladimir Frecer; Pierfausto Seneci; Stanislav Miertus
Journal:  J Comput Aided Mol Des       Date:  2010-11-17       Impact factor: 3.686

3.  Comparative molecular field analysis and comparative molecular similarity indices analysis of hydroxyethylamine derivatives as selective human BACE-1 inhibitor.

Authors:  Ashish Pandey; Jignesh Mungalpara; C Gopi Mohan
Journal:  Mol Divers       Date:  2009-03-28       Impact factor: 2.943

4.  Potent BACE-1 inhibitor design using pharmacophore modeling, in silico screening and molecular docking studies.

Authors:  Shalini John; Sundarapandian Thangapandian; Sugunadevi Sakkiah; Keun Woo Lee
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

  4 in total

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