Literature DB >> 22229549

Impact of lipophilic efficiency on compound quality.

Akos Tarcsay1, Kinga Nyíri, György M Keseru.   

Abstract

Lipophilic efficiency indices such as LLE and LELP were suggested to support balanced optimization of potency and ADMET profile. Here we investigated the performance of LLE and LELP on multiple data sets representing different stages of drug discovery including fragment and HTS hits and leads, development candidates, phase II compounds, and launched drugs. Analyzing their impact on ADME and safety properties and binding thermodynamics, we found that both LLE and LELP help identifying better quality compounds. LLE is sensible for the development stages but does not prefer fragment-type hits, while LELP has an advantage for this class of compounds and discriminates preferred starting points effectively. Both LLE and LELP have significant impact on ADME and safety profiles; however, LELP outperforms LLE in risk assessment at least on the present data set. On the basis of the results reported here, monitoring lipophilic efficiency metrics could contribute significantly to compound quality and might improve the output of medicinal chemistry programs.

Mesh:

Substances:

Year:  2012        PMID: 22229549     DOI: 10.1021/jm201388p

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  31 in total

Review 1.  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

Review 2.  Chemical predictive modelling to improve compound quality.

Authors:  John G Cumming; Andrew M Davis; Sorel Muresan; Markus Haeberlein; Hongming Chen
Journal:  Nat Rev Drug Discov       Date:  2013-12       Impact factor: 84.694

Review 3.  Expanding the medicinal chemistry synthetic toolbox.

Authors:  Jonas Boström; Dean G Brown; Robert J Young; György M Keserü
Journal:  Nat Rev Drug Discov       Date:  2018-08-24       Impact factor: 84.694

4.  Inflation of correlation in the pursuit of drug-likeness.

Authors:  Peter W Kenny; Carlos A Montanari
Journal:  J Comput Aided Mol Des       Date:  2013-01-10       Impact factor: 3.686

5.  Physicochemical property-driven optimization of diarylaniline compounds as potent HIV-1 non-nucleoside reverse transcriptase inhibitors.

Authors:  Na Liu; Bingjie Qin; Lian-Qi Sun; Fei Yu; Lu Lu; Shibo Jiang; Kuo-Hsiung Lee; Lan Xie
Journal:  Bioorg Med Chem Lett       Date:  2014-07-11       Impact factor: 2.823

6.  Multiple fragment docking and linking in primary and secondary pockets of dopamine receptors.

Authors:  Márton Vass; Eva Agai-Csongor; Ferenc Horti; György M Keserű
Journal:  ACS Med Chem Lett       Date:  2014-07-10       Impact factor: 4.345

Review 7.  The role of ligand efficiency metrics in drug discovery.

Authors:  Andrew L Hopkins; György M Keserü; Paul D Leeson; David C Rees; Charles H Reynolds
Journal:  Nat Rev Drug Discov       Date:  2014-02       Impact factor: 84.694

8.  Ligand efficiency metrics considered harmful.

Authors:  Peter W Kenny; Andrei Leitão; Carlos A Montanari
Journal:  J Comput Aided Mol Des       Date:  2014-06-05       Impact factor: 3.686

9.  Optimization of the antiviral potency and lipophilicity of halogenated 2,6-diarylpyridinamines as a novel class of HIV-1 NNRTIS.

Authors:  Zhi-Yuan Wu; Na Liu; Bingjie Qin; Li Huang; Fei Yu; Keduo Qian; Susan L Morris-Natschke; Shibo Jiang; Chin Ho Chen; Kuo-Hsiung Lee; Lan Xie
Journal:  ChemMedChem       Date:  2014-06-04       Impact factor: 3.466

10.  Drug Design Strategies for GPCR Allosteric Modulators.

Authors:  P Jeffrey Conn; Scott D Kuduk; Darío Doller
Journal:  Annu Rep Med Chem       Date:  2012       Impact factor: 1.059

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.