Literature DB >> 22270643

Quantifying the chemical beauty of drugs.

G Richard Bickerton1, Gaia V Paolini, Jérémy Besnard, Sorel Muresan, Andrew L Hopkins.   

Abstract

Drug-likeness is a key consideration when selecting compounds during the early stages of drug discovery. However, evaluation of drug-likeness in absolute terms does not reflect adequately the whole spectrum of compound quality. More worryingly, widely used rules may inadvertently foster undesirable molecular property inflation as they permit the encroachment of rule-compliant compounds towards their boundaries. We propose a measure of drug-likeness based on the concept of desirability called the quantitative estimate of drug-likeness (QED). The empirical rationale of QED reflects the underlying distribution of molecular properties. QED is intuitive, transparent, straightforward to implement in many practical settings and allows compounds to be ranked by their relative merit. We extended the utility of QED by applying it to the problem of molecular target druggability assessment by prioritizing a large set of published bioactive compounds. The measure may also capture the abstract notion of aesthetics in medicinal chemistry.

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Year:  2012        PMID: 22270643      PMCID: PMC3524573          DOI: 10.1038/nchem.1243

Source DB:  PubMed          Journal:  Nat Chem        ISSN: 1755-4330            Impact factor:   24.427


  39 in total

1.  Drug-like index: a new approach to measure drug-like compounds and their diversity.

Authors:  J Xu; J Stevenson
Journal:  J Chem Inf Comput Sci       Date:  2000 Sep-Oct

2.  Development of a method for evaluating drug-likeness and ease of synthesis using a data set in which compounds are assigned scores based on chemists' intuition.

Authors:  Yuji Takaoka; Yutaka Endo; Susumu Yamanobe; Hiroyuki Kakinuma; Taketoshi Okubo; Youichi Shimazaki; Tomomi Ota; Shigeyuki Sumiya; Kensei Yoshikawa
Journal:  J Chem Inf Comput Sci       Date:  2003 Jul-Aug

3.  A 'rule of three' for fragment-based lead discovery?

Authors:  Miles Congreve; Robin Carr; Chris Murray; Harren Jhoti
Journal:  Drug Discov Today       Date:  2003-10-01       Impact factor: 7.851

4.  Understanding and predicting druggability. A high-throughput method for detection of drug binding sites.

Authors:  Peter Schmidtke; Xavier Barril
Journal:  J Med Chem       Date:  2010-08-12       Impact factor: 7.446

5.  Comprehensive identification of "druggable" protein ligand binding sites.

Authors:  Jianghong An; Maxim Totrov; Ruben Abagyan
Journal:  Genome Inform       Date:  2004

6.  The evolution of synthetic oral drug properties.

Authors:  John R Proudfoot
Journal:  Bioorg Med Chem Lett       Date:  2005-02-15       Impact factor: 2.823

Review 7.  How many drug targets are there?

Authors:  John P Overington; Bissan Al-Lazikani; Andrew L Hopkins
Journal:  Nat Rev Drug Discov       Date:  2006-12       Impact factor: 84.694

8.  Identifying and characterizing binding sites and assessing druggability.

Authors:  Thomas A Halgren
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

9.  Physiochemical drug properties associated with in vivo toxicological outcomes.

Authors:  Jason D Hughes; Julian Blagg; David A Price; Simon Bailey; Gary A Decrescenzo; Rajesh V Devraj; Edmund Ellsworth; Yvette M Fobian; Michael E Gibbs; Richard W Gilles; Nigel Greene; Enoch Huang; Teresa Krieger-Burke; Jens Loesel; Travis Wager; Larry Whiteley; Yao Zhang
Journal:  Bioorg Med Chem Lett       Date:  2008-07-24       Impact factor: 2.823

10.  Strategies to improve in vivo toxicology outcomes for basic candidate drug molecules.

Authors:  Tim Luker; Lilian Alcaraz; Kamaldeep K Chohan; Niklas Blomberg; Dearg S Brown; Roger J Butlin; Thomas Elebring; Andrew M Griffin; Simon Guile; Stephen St-Gallay; Britt-Marie Swahn; Steve Swallow; Michael J Waring; Mark C Wenlock; Paul D Leeson
Journal:  Bioorg Med Chem Lett       Date:  2011-07-27       Impact factor: 2.823

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  241 in total

1.  Medicinal chemistry: Shades of chemical beauty.

Authors:  Peter Kirkpatrick
Journal:  Nat Rev Drug Discov       Date:  2012-02-01       Impact factor: 84.694

2.  Drug discovery: Chemical beauty contest.

Authors:  Paul Leeson
Journal:  Nature       Date:  2012-01-25       Impact factor: 49.962

Review 3.  Finding the sweet spot: the role of nature and nurture in medicinal chemistry.

Authors:  Michael M Hann; György M Keserü
Journal:  Nat Rev Drug Discov       Date:  2012-04-30       Impact factor: 84.694

4.  Dark chemical matter as a promising starting point for drug lead discovery.

Authors:  Anne Mai Wassermann; Eugen Lounkine; Dominic Hoepfner; Gaelle Le Goff; Frederick J King; Christian Studer; John M Peltier; Melissa L Grippo; Vivian Prindle; Jianshi Tao; Ansgar Schuffenhauer; Iain M Wallace; Shanni Chen; Philipp Krastel; Amanda Cobos-Correa; Christian N Parker; John W Davies; Meir Glick
Journal:  Nat Chem Biol       Date:  2015-10-19       Impact factor: 15.040

5.  Probabilistic Approach to Generating MPOs and Its Application as a Scoring Function for CNS Drugs.

Authors:  Hakan Gunaydin
Journal:  ACS Med Chem Lett       Date:  2015-12-02       Impact factor: 4.345

Review 6.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

7.  QSAR modeling: where have you been? Where are you going to?

Authors:  Artem Cherkasov; Eugene N Muratov; Denis Fourches; Alexandre Varnek; Igor I Baskin; Mark Cronin; John Dearden; Paola Gramatica; Yvonne C Martin; Roberto Todeschini; Viviana Consonni; Victor E Kuz'min; Richard Cramer; Romualdo Benigni; Chihae Yang; James Rathman; Lothar Terfloth; Johann Gasteiger; Ann Richard; Alexander Tropsha
Journal:  J Med Chem       Date:  2014-01-06       Impact factor: 7.446

Review 8.  Tactics for preclinical validation of receptor-binding radiotracers.

Authors:  Susan Z Lever; Kuo-Hsien Fan; John R Lever
Journal:  Nucl Med Biol       Date:  2016-09-03       Impact factor: 2.408

9.  Constrained Photophysics of 5,7-dimethoxy-2,3,4,9-tetrahydro-1H-carbazol-1-one in the Bioenvironment of Serum Albumins: A Spectroscopic Endeavour Supported by Molecular Docking Analysis.

Authors:  Amrit Krishna Mitra; Abhishek Sau; Uttam Pal; Chandan Saha; Samita Basu
Journal:  J Fluoresc       Date:  2017-04-22       Impact factor: 2.217

10.  An informatic pipeline for managing high-throughput screening experiments and analyzing data from stereochemically diverse libraries.

Authors:  Carol A Mulrooney; David L Lahr; Michael J Quintin; Willmen Youngsaye; Dennis Moccia; Jacob K Asiedu; Evan L Mulligan; Lakshmi B Akella; Lisa A Marcaurelle; Philip Montgomery; Joshua A Bittker; Paul A Clemons; Stephen Brudz; Sivaraman Dandapani; Jeremy R Duvall; Nicola J Tolliday; Andrea De Souza
Journal:  J Comput Aided Mol Des       Date:  2013-04-13       Impact factor: 3.686

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