Literature DB >> 25697829

Structural and Activity Profile Relationships Between Drug Scaffolds.

Ye Hu1, Jürgen Bajorath.   

Abstract

Core structures of current drugs have been assembled and their structural relationships and activity profiles have been explored. Drug scaffolds were frequently involved in different types of structural relationships. In addition, a variety of activity profile relationships between structurally related drug scaffolds were detected, ranging from closely overlapping to distinct profiles. Furthermore, when structural and activity profile relationships of scaffolds from drugs and bioactive compounds were compared, systematic differences were detected. Consensus activity profiles were introduced as a new approach for the qualitative and quantitative assessment of activity similarity of structurally related drugs represented by the same scaffold. On the basis of consensus activity profiles, scaffolds representing drugs active against distinct targets can be distinguished from drugs having similar target profiles and target hypotheses can be derived for individual drugs. Given the results of our analysis, drug scaffolds have been systematically organized according to structural and activity profile criteria. Our scaffold sets and the associated information are made freely available.

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Year:  2015        PMID: 25697829      PMCID: PMC4406972          DOI: 10.1208/s12248-015-9737-5

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  28 in total

Review 1.  On scaffolds and hopping in medicinal chemistry.

Authors:  Nathan Brown; Edgar Jacoby
Journal:  Mini Rev Med Chem       Date:  2006-11       Impact factor: 3.862

2.  Scaffold distributions in bioactive molecules, clinical trials compounds, and drugs.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  ChemMedChem       Date:  2010-02-01       Impact factor: 3.466

3.  RECAP--retrosynthetic combinatorial analysis procedure: a powerful new technique for identifying privileged molecular fragments with useful applications in combinatorial chemistry.

Authors:  X Q Lewell; D B Judd; S P Watson; M M Hann
Journal:  J Chem Inf Comput Sci       Date:  1998 May-Jun

4.  Computationally efficient algorithm to identify matched molecular pairs (MMPs) in large data sets.

Authors:  Jameed Hussain; Ceara Rea
Journal:  J Chem Inf Model       Date:  2010-03-22       Impact factor: 4.956

5.  Lessons learned from molecular scaffold analysis.

Authors:  Ye Hu; Dagmar Stumpfe; Jürgen Bajorath
Journal:  J Chem Inf Model       Date:  2011-07-28       Impact factor: 4.956

6.  How promiscuous are pharmaceutically relevant compounds? A data-driven assessment.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  AAPS J       Date:  2012-10-23       Impact factor: 4.009

7.  Many drugs contain unique scaffolds with varying structural relationships to scaffolds of currently available bioactive compounds.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  Eur J Med Chem       Date:  2014-02-15       Impact factor: 6.514

Review 8.  Rings in drugs.

Authors:  Richard D Taylor; Malcolm MacCoss; Alastair D G Lawson
Journal:  J Med Chem       Date:  2014-02-17       Impact factor: 7.446

9.  Many approved drugs have bioactive analogs with different target annotations.

Authors:  Ye Hu; Eugen Lounkine; Jürgen Bajorath
Journal:  AAPS J       Date:  2014-05-29       Impact factor: 4.009

10.  High-resolution view of compound promiscuity.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  F1000Res       Date:  2013-06-27
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  1 in total

1.  Cheminformatics analysis of the AR agonist and antagonist datasets in PubChem.

Authors:  Ming Hao; Stephen H Bryant; Yanli Wang
Journal:  J Cheminform       Date:  2016-07-08       Impact factor: 5.514

  1 in total

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