Literature DB >> 23734609

VAMMPIRE: a matched molecular pairs database for structure-based drug design and optimization.

Julia Weber1, Janosch Achenbach, Daniel Moser, Ewgenij Proschak.   

Abstract

Structure-based optimization to improve the affinity of a lead compound is an established approach in drug discovery. Knowledge-based databases holding molecular replacements can be supportive in the optimization process. We introduce a strategy to relate the substitution effect within matched molecular pairs (MMPs) to the atom environment within the cocrystallized protein-ligand complex. Virtually Aligned Matched Molecular Pairs Including Receptor Environment (VAMMPIRE) database and the supplementary web interface ( http://vammpire.pharmchem.uni-frankfurt.de ) provide valuable information for structure-based lead optimization.

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Year:  2013        PMID: 23734609     DOI: 10.1021/jm400223y

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


  7 in total

1.  Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching.

Authors:  Tomoyuki Miyao; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2018-07-02       Impact factor: 3.686

Review 2.  Structure-based virtual screening for drug discovery: principles, applications and recent advances.

Authors:  Evanthia Lionta; George Spyrou; Demetrios K Vassilatis; Zoe Cournia
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

3.  Using matched molecular series as a predictive tool to optimize biological activity.

Authors:  Noel M O'Boyle; Jonas Boström; Roger A Sayle; Adrian Gill
Journal:  J Med Chem       Date:  2014-03-14       Impact factor: 7.446

Review 4.  Matched Molecular Pair Analysis in Short: Algorithms, Applications and Limitations.

Authors:  Christian Tyrchan; Emma Evertsson
Journal:  Comput Struct Biotechnol J       Date:  2016-12-13       Impact factor: 7.271

Review 5.  Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry.

Authors:  Tapan Behl; Ishnoor Kaur; Aayush Sehgal; Sukhbir Singh; Saurabh Bhatia; Ahmed Al-Harrasi; Gokhan Zengin; Elena Emilia Babes; Ciprian Brisc; Manuela Stoicescu; Mirela Marioara Toma; Cristian Sava; Simona Gabriela Bungau
Journal:  Int J Mol Sci       Date:  2021-06-08       Impact factor: 5.923

6.  Matched Peptides: Tuning Matched Molecular Pair Analysis for Biopharmaceutical Applications.

Authors:  Julian E Fuchs; Bernd Wellenzohn; Nils Weskamp; Klaus R Liedl
Journal:  J Chem Inf Model       Date:  2015-11-06       Impact factor: 4.956

7.  OOMMPPAA: a tool to aid directed synthesis by the combined analysis of activity and structural data.

Authors:  Anthony R Bradley; Ian D Wall; Darren V S Green; Charlotte M Deane; Brian D Marsden
Journal:  J Chem Inf Model       Date:  2014-10-09       Impact factor: 4.956

  7 in total

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