Literature DB >> 23975272

Systematic mining of analog series with related core structures in multi-target activity space.

Disha Gupta-Ostermann1, Ye Hu, Jürgen Bajorath.   

Abstract

We have aimed to systematically extract analog series with related core structures from multi-target activity space to explore target promiscuity of closely related analogous. Therefore, a previously introduced SAR matrix structure was adapted and further extended for large-scale data mining. These matrices organize analog series with related yet distinct core structures in a consistent manner. High-confidence compound activity data yielded more than 2,300 non-redundant matrices capturing 5,821 analog series that included 4,288 series with multi-target and 735 series with multi-family activities. Many matrices captured more than three analog series with activity against more than five targets. The matrices revealed a variety of promiscuity patterns. Compound series matrices also contain virtual compounds, which provide suggestions for compound design focusing on desired activity profiles.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23975272     DOI: 10.1007/s10822-013-9671-5

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


  18 in total

1.  Using molecular equivalence numbers to visually explore structural features that distinguish chemical libraries.

Authors:  Yong-Jin Xu; Mark Johnson
Journal:  J Chem Inf Comput Sci       Date:  2002 Jul-Aug

2.  Directed R-group combination graph: a methodology to uncover structure-activity relationship patterns in a series of analogues.

Authors:  Anne Mai Wassermann; Jürgen Bajorath
Journal:  J Med Chem       Date:  2012-01-27       Impact factor: 7.446

3.  Global mapping of pharmacological space.

Authors:  Gaia V Paolini; Richard H B Shapland; Willem P van Hoorn; Jonathan S Mason; Andrew L Hopkins
Journal:  Nat Biotechnol       Date:  2006-07       Impact factor: 54.908

4.  SAR maps: a new SAR visualization technique for medicinal chemists.

Authors:  Dimitris K Agrafiotis; Maxim Shemanarev; Peter J Connolly; Michael Farnum; Victor S Lobanov
Journal:  J Med Chem       Date:  2007-10-25       Impact factor: 7.446

5.  Introducing the LASSO graph for compound data set representation and structure-activity relationship analysis.

Authors:  Disha Gupta-Ostermann; Ye Hu; Jürgen Bajorath
Journal:  J Med Chem       Date:  2012-05-16       Impact factor: 7.446

6.  Local structural changes, global data views: graphical substructure-activity relationship trailing.

Authors:  Mathias Wawer; Jürgen Bajorath
Journal:  J Med Chem       Date:  2011-03-28       Impact factor: 7.446

Review 7.  Systems approaches to polypharmacology and drug discovery.

Authors:  Aislyn D W Boran; Ravi Iyengar
Journal:  Curr Opin Drug Discov Devel       Date:  2010-05

8.  Visual exploration of structure-activity relationship using maximum common framework.

Authors:  Sung Jin Cho; Yaxiong Sun
Journal:  J Comput Aided Mol Des       Date:  2008-03-13       Impact factor: 3.686

9.  DrugBank 3.0: a comprehensive resource for 'omics' research on drugs.

Authors:  Craig Knox; Vivian Law; Timothy Jewison; Philip Liu; Son Ly; Alex Frolkis; Allison Pon; Kelly Banco; Christine Mak; Vanessa Neveu; Yannick Djoumbou; Roman Eisner; An Chi Guo; David S Wishart
Journal:  Nucleic Acids Res       Date:  2010-11-08       Impact factor: 16.971

Review 10.  Targeting the cancer kinome through polypharmacology.

Authors:  Zachary A Knight; Henry Lin; Kevan M Shokat
Journal:  Nat Rev Cancer       Date:  2010-02       Impact factor: 60.716

View more
  5 in total

1.  Follow-up: Prospective compound design using the 'SAR Matrix' method and matrix-derived conditional probabilities of activity.

Authors:  Disha Gupta-Ostermann; Yoichiro Hirose; Takenao Odagami; Hiroyuki Kouji; Jürgen Bajorath
Journal:  F1000Res       Date:  2015-03-23

Review 2.  Exploring compound promiscuity patterns and multi-target activity spaces.

Authors:  Ye Hu; Disha Gupta-Ostermann; Jürgen Bajorath
Journal:  Comput Struct Biotechnol J       Date:  2014-01-29       Impact factor: 7.271

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

4.  The 'SAR Matrix' method and its extensions for applications in medicinal chemistry and chemogenomics.

Authors:  Disha Gupta-Ostermann; Jürgen Bajorath
Journal:  F1000Res       Date:  2014-05-16

5.  Follow up: Compound data sets and software tools for chemoinformatics and medicinal chemistry applications: update and data transfer.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  F1000Res       Date:  2014-03-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.