Literature DB >> 18405840

Assessing drug-likeness--what are we missing?

Giulio Vistoli1, Alessandro Pedretti, Bernard Testa.   

Abstract

The concept of drug-likeness helps to optimise pharmacokinetic and pharmaceutical properties, for example, solubility, chemical stability, bioavailability and distribution profile. A number of molecular descriptors have emerged as reasonably informative and predictive, for example, the Rule-of-Five. Here, we review some current approaches, then discuss their major shortcoming, namely the static nature of the structural features and physicochemical properties they encode. As we demonstrate, molecules are not 'frozen statues' but 'dancing ballerinas', and several of their computable physicochemical properties are conformation-dependent and lead to the concept of property spaces. Molecular sensitivity (namely, how much a given computable physicochemical property varies as a function of flexibility) appears as a promising descriptor to encode some of the information contained in molecular property spaces.

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Year:  2008        PMID: 18405840     DOI: 10.1016/j.drudis.2007.11.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  38 in total

Review 1.  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

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

3.  An integrated drug-likeness study for bicyclic privileged structures: from physicochemical properties to in vitro ADME properties.

Authors:  Chunyan Han; Jinlan Zhang; Mingyue Zheng; Yao Xiao; Yan Li; Gang Liu
Journal:  Mol Divers       Date:  2011-05-03       Impact factor: 2.943

4.  Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting.

Authors:  Feng Zhu; Chu Qin; Lin Tao; Xin Liu; Zhe Shi; Xiaohua Ma; Jia Jia; Ying Tan; Cheng Cui; Jinshun Lin; Chunyan Tan; Yuyang Jiang; Yuzong Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-18       Impact factor: 11.205

5.  Combination of docking, molecular dynamics and quantum mechanical calculations for metabolism prediction of 3,4-methylenedioxybenzoyl-2-thienylhydrazone.

Authors:  Rodolpho C Braga; Vinícius M Alves; Carlos A M Fraga; Eliezer J Barreiro; Valéria de Oliveira; Carolina H Andrade
Journal:  J Mol Model       Date:  2011-09-08       Impact factor: 1.810

6.  Homology modeling and metabolism prediction of human carboxylesterase-2 using docking analyses by GriDock: a parallelized tool based on AutoDock 4.0.

Authors:  Giulio Vistoli; Alessandro Pedretti; Angelica Mazzolari; Bernard Testa
Journal:  J Comput Aided Mol Des       Date:  2010-07-11       Impact factor: 3.686

7.  Computer-aided molecular design of 1H-imidazole-2,4-diamine derivatives as potential inhibitors of Plasmodium falciparum DHFR enzyme.

Authors:  Legesse Adane; Prasad V Bharatam
Journal:  J Mol Model       Date:  2010-06-05       Impact factor: 1.810

8.  Quantifying the chameleonic properties of macrocycles and other high-molecular-weight drugs.

Authors:  Adrian Whitty; Mengqi Zhong; Lauren Viarengo; Dmitri Beglov; David R Hall; Sandor Vajda
Journal:  Drug Discov Today       Date:  2016-02-15       Impact factor: 7.851

9.  High-throughput virtual screening of phloroglucinol derivatives against HIV-reverse transcriptase.

Authors:  Vilas Belekar; Anup Shah; Prabha Garg
Journal:  Mol Divers       Date:  2013-01-22       Impact factor: 2.943

10.  Application of the quantum mechanical IEF/PCM-MST hydrophobic descriptors to selectivity in ligand binding.

Authors:  Tiziana Ginex; Jordi Muñoz-Muriedas; Enric Herrero; Enric Gibert; Pietro Cozzini; F Javier Luque
Journal:  J Mol Model       Date:  2016-05-17       Impact factor: 1.810

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