Literature DB >> 29968097

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

Tomoyuki Miyao1,2, Jürgen Bajorath3.   

Abstract

Shape similarity searching is a popular approach for ligand-based virtual screening on the basis of three-dimensional reference compounds. It is generally thought that well-defined experimentally determined binding modes of active reference compounds provide the best possible basis for shape searching. Herein, we show that experimental binding modes are not essential for successful shape similarity searching. Furthermore, we show that ensembles of analogs of X-ray ligands-in the absence of these ligands-further improve the search performance of single crystallographic reference compounds. This is even the case if ensembles of virtually generated analogs are used whose activity status is unknown. Taken together, the results of our study indicate that analog ensembles representing fuzzy reference states are effective starting points for shape similarity searching.

Keywords:  Analogs; Conformational ensembles; Fuzzy reference states; ROCS; Shape similarity searching; X-ray ligands

Mesh:

Substances:

Year:  2018        PMID: 29968097     DOI: 10.1007/s10822-018-0128-8

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  20 in total

1.  MMP-Cliffs: systematic identification of activity cliffs on the basis of matched molecular pairs.

Authors:  Xiaoying Hu; Ye Hu; Martin Vogt; Dagmar Stumpfe; Jürgen Bajorath
Journal:  J Chem Inf Model       Date:  2012-04-17       Impact factor: 4.956

2.  Optimized Virtual Screening Workflow for the Identification of Novel G-Quadruplex Ligands.

Authors:  Teresa Kaserer; Riccardo Rigo; Philipp Schuster; Stefano Alcaro; Claudia Sissi; Daniela Schuster
Journal:  J Chem Inf Model       Date:  2016-03-01       Impact factor: 4.956

Review 3.  Similarity-based virtual screening using 2D fingerprints.

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

4.  Comparison of shape-matching and docking as virtual screening tools.

Authors:  Paul C D Hawkins; A Geoffrey Skillman; Anthony Nicholls
Journal:  J Med Chem       Date:  2007-01-11       Impact factor: 7.446

5.  How to optimize shape-based virtual screening: choosing the right query and including chemical information.

Authors:  Johannes Kirchmair; Simona Distinto; Patrick Markt; Daniela Schuster; Gudrun M Spitzer; Klaus R Liedl; Gerhard Wolber
Journal:  J Chem Inf Model       Date:  2009-03       Impact factor: 4.956

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

Authors:  Julia Weber; Janosch Achenbach; Daniel Moser; Ewgenij Proschak
Journal:  J Med Chem       Date:  2013-06-18       Impact factor: 7.446

Review 7.  Current trends in ligand-based virtual screening: molecular representations, data mining methods, new application areas, and performance evaluation.

Authors:  Hanna Geppert; Martin Vogt; Jürgen Bajorath
Journal:  J Chem Inf Model       Date:  2010-02-22       Impact factor: 4.956

8.  Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking.

Authors:  Michael M Mysinger; Michael Carchia; John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2012-07-05       Impact factor: 7.446

9.  Identification of a chemical probe for NAADP by virtual screening.

Authors:  Edmund Naylor; Abdelilah Arredouani; Sridhar R Vasudevan; Alexander M Lewis; Raman Parkesh; Akiko Mizote; Daniel Rosen; Justyn M Thomas; Minoru Izumi; A Ganesan; Antony Galione; Grant C Churchill
Journal:  Nat Chem Biol       Date:  2009-02-22       Impact factor: 15.040

10.  Target enhanced 2D similarity search by using explicit biological activity annotations and profiles.

Authors:  Xiang Yu; Lewis Y Geer; Lianyi Han; Stephen H Bryant
Journal:  J Cheminform       Date:  2015-11-17       Impact factor: 5.514

View more
  1 in total

1.  Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships.

Authors:  Tomoyuki Miyao; Swarit Jasial; Jürgen Bajorath; Kimito Funatsu
Journal:  J Comput Aided Mol Des       Date:  2019-08-21       Impact factor: 3.686

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.