Literature DB >> 29522887

Quantitative metrics for drug-target ligandability.

Sinisa Vukovic1, David J Huggins2.   

Abstract

Ligandability is a prerequisite for druggability and is a much easier concept to understand, model and predict because it does not depend on the complex pharmacodynamic and pharmacokinetic mechanisms in the human body. In this review, we consider a metric for quantifying ligandability from experimental data. We discuss ligandability in terms of the balance between effort and reward. The metric is evaluated for a standard set of well-studied drug targets - some traditionally considered to be ligandable and some regarded as difficult. We suggest that this metric should be used to systematically improve computational predictions of ligandability, which can then be applied to novel drug targets to predict their tractability.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2018        PMID: 29522887     DOI: 10.1016/j.drudis.2018.02.015

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


  8 in total

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3.  Evidence for ligandable sites in structured RNA throughout the Protein Data Bank.

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Journal:  Antibiotics (Basel)       Date:  2022-05-17

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Journal:  Emerg Top Life Sci       Date:  2020-12-11

7.  An omics perspective on drug target discovery platforms.

Authors:  Jussi Paananen; Vittorio Fortino
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

8.  Structural analysis of mycobacterial homoserine transacetylases central to methionine biosynthesis reveals druggable active site.

Authors:  Catherine T Chaton; Emily S Rodriguez; Robert W Reed; Jian Li; Cameron W Kenner; Konstantin V Korotkov
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

  8 in total

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