Computational Drug Discovery and Design

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Chapter 6

Molecular Dynamics Simulation and Prediction


of Druggable Binding Sites


Tianhua Feng and Khaled Barakat


Abstract


Binding site identification and druggability evaluation are two essential steps in structure-based drug
design. A druggable binding site tends to have high binding affinity to drug-like molecules. Predicting
such sites can have a significant impact on a drug design campaign. This chapter focuses on summarizing the
different methods that are used to predict druggable binding sites. The chapter also discusses the impor-
tance of including protein flexibility in the search process and the use of molecular dynamics simulations to
address this aspect. Case studies from the literature are also summarized and discussed. We hope that this
chapter would provide an overview on the different methods employed in binding site identification
evaluation.


Key wordsConformational ensemble, Cosolvent molecular dynamic simulation, Druggability, Hot
spot, Protein flexibility

1 Introduction


Proteins are dynamical entities in nature. They interact with each
other or with small molecule compounds to execute their function
or to transfer a signal [1]. These interactions usually take place
through hot spots on the surface of the proteins [2]. In many
cases these hot spots cluster into one region, forming a binding
site, which can specifically fit the interacting partner. These binding
sites have been always considered as attractive targets to develop
target-specific drugs [3–5]. However, not every binding site is
suitable to develop a drug. One should think about the druggability
of a binding site prior to searching for a compound that can fit
within the site [6]. Druggability of binding sites emerged in the
recent years [7] and was first defined as the ability of a protein
linked to a particular disease to bind a small drug-like molecule with
high affinity and specificity [8, 9].
Although using an automated approach to predict the “drugg-
ability” of a binding site is still difficult [10], computational

Mohini Gore and Umesh B. Jagtap (eds.),Computational Drug Discovery and Design, Methods in Molecular Biology, vol. 1762,
https://doi.org/10.1007/978-1-4939-7756-7_6,©Springer Science+Business Media, LLC, part of Springer Nature 2018


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