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Docking Methodologies and Recent Advances

Docking Methodologies and Recent Advances
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Author(s): Ashwani Kumar (Guru Jambheshwar University of Science and Technology, India), Ruchika Goyal (Guru Jambheshwar University of Science and Technology, India)and Sandeep Jain (Guru Jambheshwar University of Science and Technology, India)
Copyright: 2017
Pages: 25
Source title: Oncology: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0549-5.ch031

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Abstract

Docking, a molecular modelling method, has wide applications in identification and optimization in modern drug discovery. This chapter addresses the recent advances in the docking methodologies like fragment docking, covalent docking, inverse docking, post processing, hybrid techniques, homology modeling etc. and its protocol like searching and scoring functions. Advances in scoring functions for e.g. consensus scoring, quantum mechanics methods, clustering and entropy based methods, fingerprinting, etc. are used to overcome the limitations of the commonly used force-field, empirical and knowledge based scoring functions. It will cover crucial necessities and different algorithms of docking and scoring. Further different aspects like protein flexibility, ligand sampling and flexibility, and the performance of scoring function will be discussed.

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