Literature DB >> 24899110

Ligand efficiency metrics considered harmful.

Peter W Kenny1, Andrei Leitão, Carlos A Montanari.   

Abstract

Ligand efficiency metrics are used in drug discovery to normalize biological activity or affinity with respect to physicochemical properties such as lipophilicity and molecular size. This Perspective provides an overview of ligand efficiency metrics and summarizes thermodynamics of protein-ligand binding. Different classes of ligand efficiency metric are critically examined and the study concludes with suggestions for alternative ways to account for physicochemical properties when prioritizing and optimizing leads.

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Year:  2014        PMID: 24899110     DOI: 10.1007/s10822-014-9757-8

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


  57 in total

1.  Ligand efficiency: a useful metric for lead selection.

Authors:  Andrew L Hopkins; Colin R Groom; Alexander Alex
Journal:  Drug Discov Today       Date:  2004-05-15       Impact factor: 7.851

2.  Kinetic efficiency: the missing metric for enhancing compound quality?

Authors:  Geoffrey A Holdgate; Adrian L Gill
Journal:  Drug Discov Today       Date:  2011-09-10       Impact factor: 7.851

Review 3.  The effect of plasma protein binding on in vivo efficacy: misconceptions in drug discovery.

Authors:  Dennis A Smith; Li Di; Edward H Kerns
Journal:  Nat Rev Drug Discov       Date:  2010-12       Impact factor: 84.694

4.  On outliers and activity cliffs--why QSAR often disappoints.

Authors:  Gerald M Maggiora
Journal:  J Chem Inf Model       Date:  2006 Jul-Aug       Impact factor: 4.956

5.  Structure--activity landscape index: identifying and quantifying activity cliffs.

Authors:  Rajarshi Guha; John H Van Drie
Journal:  J Chem Inf Model       Date:  2008-02-28       Impact factor: 4.956

Review 6.  Adding calorimetric data to decision making in lead discovery: a hot tip.

Authors:  John E Ladbury; Gerhard Klebe; Ernesto Freire
Journal:  Nat Rev Drug Discov       Date:  2009-12-04       Impact factor: 84.694

7.  Assessing the lipophilicity of fragments and early hits.

Authors:  Paul N Mortenson; Christopher W Murray
Journal:  J Comput Aided Mol Des       Date:  2011-05-26       Impact factor: 3.686

Review 8.  Fragment-based lead discovery and design.

Authors:  Diane Joseph-McCarthy; Arthur J Campbell; Gunther Kern; Demetri Moustakas
Journal:  J Chem Inf Model       Date:  2014-02-19       Impact factor: 4.956

9.  ClogP(alk): a method for predicting alkane/water partition coefficient.

Authors:  Peter W Kenny; Carlos A Montanari; Igor M Prokopczyk
Journal:  J Comput Aided Mol Des       Date:  2013-06-05       Impact factor: 3.686

10.  Hydrogen bonding. 32. An analysis of water-octanol and water-alkane partitioning and the delta log P parameter of seiler.

Authors:  M H Abraham; H S Chadha; G S Whiting; R C Mitchell
Journal:  J Pharm Sci       Date:  1994-08       Impact factor: 3.534

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  11 in total

1.  Thermodynamic Proxies to Compensate for Biases in Drug Discovery Methods.

Authors:  Sean Ekins; Nadia K Litterman; Christopher A Lipinski; Barry A Bunin
Journal:  Pharm Res       Date:  2015-08-27       Impact factor: 4.200

2.  The influence of hydrogen bonding on partition coefficients.

Authors:  Nádia Melo Borges; Peter W Kenny; Carlos A Montanari; Igor M Prokopczyk; Jean F R Ribeiro; Josmar R Rocha; Geraldo Rodrigues Sartori
Journal:  J Comput Aided Mol Des       Date:  2017-01-04       Impact factor: 3.686

3.  Computer-aided drug discovery research at a global contract research organization.

Authors:  Douglas B Kitchen
Journal:  J Comput Aided Mol Des       Date:  2016-11-01       Impact factor: 3.686

Review 4.  Rethinking drug design in the artificial intelligence era.

Authors:  Petra Schneider; W Patrick Walters; Alleyn T Plowright; Norman Sieroka; Jennifer Listgarten; Robert A Goodnow; Jasmin Fisher; Johanna M Jansen; José S Duca; Thomas S Rush; Matthias Zentgraf; John Edward Hill; Elizabeth Krutoholow; Matthias Kohler; Jeff Blaney; Kimito Funatsu; Chris Luebkemann; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2019-12-04       Impact factor: 84.694

5.  Molecular Design, Synthesis and Trypanocidal Activity of Dipeptidyl Nitriles as Cruzain Inhibitors.

Authors:  Leandro A A Avelar; Cristian D Camilo; Sérgio de Albuquerque; William B Fernandes; Cristiana Gonçalez; Peter W Kenny; Andrei Leitão; James H McKerrow; Carlos A Montanari; Erika V Meñaca Orozco; Jean F R Ribeiro; Josmar R Rocha; Fabiana Rosini; Marta E Saidel
Journal:  PLoS Negl Trop Dis       Date:  2015-07-14

Review 6.  How drugs get into cells: tested and testable predictions to help discriminate between transporter-mediated uptake and lipoidal bilayer diffusion.

Authors:  Douglas B Kell; Stephen G Oliver
Journal:  Front Pharmacol       Date:  2014-10-31       Impact factor: 5.810

7.  Beware of ligand efficiency (LE): understanding LE data in modeling structure-activity and structure-economy relationships.

Authors:  Jaroslaw Polanski; Aleksandra Tkocz; Urszula Kucia
Journal:  J Cheminform       Date:  2017-09-11       Impact factor: 5.514

8.  Anti-trypanosomal activity of non-peptidic nitrile-based cysteine protease inhibitors.

Authors:  Antonio C B Burtoloso; Sérgio de Albuquerque; Mark Furber; Juliana C Gomes; Cristiana Gonçalez; Peter W Kenny; Andrei Leitão; Carlos A Montanari; José Carlos Quilles; Jean F R Ribeiro; Josmar R Rocha
Journal:  PLoS Negl Trop Dis       Date:  2017-02-21

9.  The nature of ligand efficiency.

Authors:  Peter W Kenny
Journal:  J Cheminform       Date:  2019-01-31       Impact factor: 5.514

10.  Computational Study on Potential Novel Anti-Ebola Virus Protein VP35 Natural Compounds.

Authors:  Louis K S Darko; Emmanuel Broni; Dominic S Y Amuzu; Michael D Wilson; Christian S Parry; Samuel K Kwofie
Journal:  Biomedicines       Date:  2021-11-30
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