Literature DB >> 31146609

Binding affinity in drug design: experimental and computational techniques.

Visvaldas Kairys1, Lina Baranauskiene2, Migle Kazlauskiene3, Daumantas Matulis2, Egidijus Kazlauskas2.   

Abstract

Introduction: In pharmaceutical design where future drugs are developed by targeting a specific chosen protein, the evaluation of ligand affinity is crucial. For this very purpose are a multitude of diverse methods which are continuously being improved, which, in turn, makes it difficult to choose which techniques to use in practice. Areas covered: In this review, the authors discuss both experimental and computational approaches for affinity evaluation. Basic principles, general limitations and advantages, as well as main areas of application in drug discovery, are overviewed for some of the most popular ligand binding assays. The authors further provide a guide to affinity predictions, collectively covering several techniques that are used in the first stages of rational drug design. Expert opinion: All affinity estimation methods have limitations and advantages that partially overlap and complement one another. Some of the suggested best practices include cross-verification of data using at least two different techniques and careful data interpretation.

Keywords:  AUC; BLI; DSC; DSF; Drug design; FTSA; Gibbs energy; ICD; ITC; MM-PBSA; MST; NMR; QM/MM; QSAR; SPR; TSA; affinity; binding; electrophoresis; fluorescence; free energy; inhibitor; ligand; molecular dynamics; thermophoresis

Mesh:

Substances:

Year:  2019        PMID: 31146609     DOI: 10.1080/17460441.2019.1623202

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  12 in total

1.  Standard operating procedure for fluorescent thermal shift assay (FTSA) for determination of protein-ligand binding and protein stability.

Authors:  Egidijus Kazlauskas; Vytautas Petrauskas; Vaida Paketurytė; Daumantas Matulis
Journal:  Eur Biophys J       Date:  2021-04-29       Impact factor: 1.733

2.  Accurate acid dissociation constant (pKa) calculation for the sulfachloropyridazine and similar molecules.

Authors:  Fernando Marques Carvalho; Yuri Alves de Oliveira Só; Alessandra Sofia Kiametis Wernik; Mônica de Abreu Silva; Ricardo Gargano
Journal:  J Mol Model       Date:  2021-07-29       Impact factor: 1.810

3.  Molecular Structure-Based Screening of the Constituents of Calotropis procera Identifies Potential Inhibitors of Diabetes Mellitus Target Alpha Glucosidase.

Authors:  Cynthia A Adinortey; Gabriel B Kwarko; Russell Koranteng; Daniel Boison; Issaka Obuaba; Michael D Wilson; Samuel K Kwofie
Journal:  Curr Issues Mol Biol       Date:  2022-02-21       Impact factor: 2.976

Review 4.  Strategies for targeting the cardiac sarcomere: avenues for novel drug discovery.

Authors:  Joshua B Holmes; Chang Yoon Doh; Ranganath Mamidi; Jiayang Li; Julian E Stelzer
Journal:  Expert Opin Drug Discov       Date:  2020-02-18       Impact factor: 6.098

5.  Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning.

Authors:  Maha A Thafar; Mona Alshahrani; Somayah Albaradei; Takashi Gojobori; Magbubah Essack; Xin Gao
Journal:  Sci Rep       Date:  2022-03-19       Impact factor: 4.379

6.  FoldAffinity: binding affinities from nDSF experiments.

Authors:  Stephan Niebling; Osvaldo Burastero; Jérôme Bürgi; Christian Günther; Lucas A Defelipe; Simon Sander; Ellen Gattkowski; Raghavendra Anjanappa; Matthias Wilmanns; Sebastian Springer; Henning Tidow; María García-Alai
Journal:  Sci Rep       Date:  2021-05-05       Impact factor: 4.379

7.  Optical Detection of CoV-SARS-2 Viral Proteins to Sub-Picomolar Concentrations.

Authors:  Tamsyn Stanborough; Fiona M Given; Barbara Koch; Campbell R Sheen; André Buzas Stowers-Hull; Mark R Waterland; Deborah L Crittenden
Journal:  ACS Omega       Date:  2021-02-23

8.  Activating Effects of the Bioactive Compounds From Coffee By-Products on FGF21 Signaling Modulate Hepatic Mitochondrial Bioenergetics and Energy Metabolism in vitro.

Authors:  Miguel Rebollo-Hernanz; Yolanda Aguilera; Maria A Martín-Cabrejas; Elvira Gonzalez de Mejia
Journal:  Front Nutr       Date:  2022-03-22

9.  Accelerating the repurposing of FDA-approved drugs against coronavirus disease-19 (COVID-19).

Authors:  Simona De Vita; Maria Giovanna Chini; Gianluigi Lauro; Giuseppe Bifulco
Journal:  RSC Adv       Date:  2020-11-10       Impact factor: 4.036

10.  Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction.

Authors:  Mohammad A Rezaei; Yanjun Li; Dapeng Wu; Xiaolin Li; Chenglong Li
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2022-02-03       Impact factor: 3.710

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