Molecular dynamics simulation approach to investigate dynamic behaviour of system through the application of newtonian mechanics

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Molecular dynamics simulation approach to investigate dynamic behaviour of system through the application of newtonian mechanics. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 33-36. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

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Abstract

Molecular dynamics simulations have been successfully incorporated and evolved into a mature technique within a variety of pharmaceutical research programs to study the complex biological and chemical systems. Broadly used in modern drug design, molecular docking methods can be used effectively to understand the macromolecular structure-to-function relationships and ligand conformations adopted within the binding sites of macromolecular targets. Information gathered about the dynamic properties of ligand–receptor binding such as free energy by evaluating critical phenomena involved in the intermolecular recognition process. These results can be employed to shift the usual paradigm of structural bioinformatics from studying single structures to analyse conformational ensembles. Today, as a variety of docking algorithms are available, an understanding of advantages and limitations of each method is of fundamental importance in the development of effective strategies and the generation of relevant results. The purpose of this chapter is to examine the current molecular docking strategies used in drug discovery and medicinal chemistry, exploring the advancements in the field and role played by integration of structure-and ligand-based methods.
Item Type: Book Section / Chapter
Uncontrolled Keywords: Docking algorithms; Drug discovery; Ligand–receptor binding; Molecular dynamics simulations; Structural bioinformatics
Divisions: Sabancı University Nanotechnology Research and Application Center
Depositing User: Shiv Kumar Bharadwaj
Date Deposited: 30 Jul 2023 23:02
Last Modified: 30 Jul 2023 23:06
URI: https://research.sabanciuniv.edu/id/eprint/46584

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