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Hidden allosteric sites and De-Novo drug design

Ashfaq Ur Rehman, Shaoyong Lu, Abdul Aziz Khan, Beenish Khurshid, Salman Rasheed, Abdul Wadood, Jian Zhang

2021Expert Opinion on Drug Discovery16 citationsDOI

Abstract

INTRODUCTION: -structures when a certain ligand binds and maintains the ligand intended conformation. Several computational and experimental techniques have been used to investigate these hidden sites but identifying them remains a challenge. AREAS COVERED: This review provides a summary of the many theoretical approaches for predicting hidden allosteric sites in disease-related proteins. Furthermore, promising cases have been thoroughly examined to reveal the hidden allosteric site and its modulator. EXPERT OPINION: In the recent past, with the development in scientific techniques and bioinformatics tools, the number of drug targets for complex human diseases has significantly increased but unfortunately most of these targets are undruggable due to several reasons. Alternative strategies such as finding cryptic (hidden) allosteric sites are an attractive approach for exploitation of the discovery of new targets. These hidden sites are difficult to recognize compared to allosteric sites, mainly due to a lack of visibility in the crystal structure. In our opinion, after many years of development, MD simulations are finally becoming successful for obtaining a detailed molecular description of drug-target interaction.

Topics & Concepts

Allosteric regulationDrug discoveryComputational biologyDrug targetLigand (biochemistry)Computer scienceBioinformaticsBiologyGeneticsBiochemistryReceptorComputational Drug Discovery MethodsProtein Structure and DynamicsCrystallography and molecular interactions
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