Matched Molecular Pairs as a Medicinal Chemistry Tool: Miniperspective
Abstract
ADVERTISEMENT RETURN TO ISSUEPerspectiveNEXTMatched Molecular Pairs as a Medicinal Chemistry ToolMiniperspectiveEd Griffen‡, Andrew G. Leach*§, Graeme R. Robb§, and Daniel J. Warner∥View Author Information‡ Oncology Innovative Medicines Unit, AstraZeneca Pharmaceuticals, Mereside, Alderley Park, Macclesfield, SK10 4TG, U.K.§ Cardiovascular and Gastrointestinal Innovative Medicines Unit, AstraZeneca Pharmaceuticals, 30S373 Mereside, Alderley Park, Macclesfield, SK10 4TG, U.K.∥ Department of Medicinal Chemistry, AstraZeneca R&D Montreal, Montreal, Quebec, H4S 1Z9, CanadaPhone: +44 1625 231853. E-mail: [email protected]Cite this: J. Med. Chem. 2011, 54, 22, 7739–7750Publication Date (Web):September 22, 2011Publication History Received14 April 2011Published online22 September 2011Published inissue 24 November 2011https://doi.org/10.1021/jm200452dCopyright © 2011 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views7157Altmetric-Citations197LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit Read OnlinePDF (3 MB) Get e-AlertsSUBJECTS:Assays,Mathematical methods,Molecules,Solubility,Structure activity relationship Get e-Alerts
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- Authors
- Griffen, E., Leach, A. G., Robb, G. R., & Warner, D. J.
- Affiliations
- AstraZeneca (United Kingdom) (GB)
- AstraZeneca (Canada) (CA)
- Corresponding author
- Leach, Andrew G.
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-09-22
- Volume
- 54
- Issue
- 22
- Pages
- 7739-7750
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2401258374
- Cited by
- 282
- References
- 54
- Citations by year
- 2026: 16 · 2025: 15 · 2024: 21 · 2023: 15 · 2022: 13 · 2021: 23 · 2020: 25 · 2019: 16 · 2018: 11 · 2017: 27 · 2016: 14 · 2015: 21 · 2014: 25 · 2013: 20 · 2012: 19
- FWCI
- 22.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Physical Sciences › Chemistry › Organic Chemistry › Synthesis and Characterization of Heterocyclic Compounds
- Keywords
- matched molecular pairs, structure-activity relationship, molecular similarity, drug discovery, QSAR, molecular descriptors, drug-likeness, solubility, bioactivity prediction, molecular dynamics, molecular dynamics simulation, molecular mechanics, molecular fingerprints, molecular similarity search
- MeSH terms
- Drug Design, Molecular Structure, Databases, Factual, Quantitative Structure-Activity Relationship, Protein Kinase Inhibitors, ErbB Receptors
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