IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Protein Ligand Interaction Fingerprints

Protein Ligand Interaction Fingerprints
View Sample PDF
Author(s): Ali HajiEbrahimi (Shiraz University of Medical Sciences, Iran), Hamidreza Ghafouri (Shiraz University of Medical Sciences, Iran), Mohsen Ranjbar (Shiraz University of Medical Sciences, Iran)and Amirhossein Sakhteman (Shiraz University of Medical Sciences, Iran)
Copyright: 2017
Pages: 20
Source title: Pharmaceutical Sciences: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1762-7.ch041

Purchase

View Protein Ligand Interaction Fingerprints on the publisher's website for pricing and purchasing information.

Abstract

A most challenging part in docking-based virtual screening is the scoring functions implemented in various docking programs in order to evaluate different poses of the ligands inside the binding cavity of the receptor. Precise and trustable measurement of ligand-protein affinity for Structure-Based Virtual Screening (SB-VS) is therefore, an outstanding problem in docking studies. Empirical post-docking filters can be helpful as a way to provide various types of structure-activity information. Different types of interaction have been presented between the ligands and the receptor so far. Based on the diversity and importance of PLIF methods, this chapter will focus on the comparison of different protocols. The advantages and disadvantages of all methods will be discussed explicitly in this chapter as well as future sights for further progress in this field. Different classifications approaches for the protein-ligand interaction fingerprints were also discussed in this chapter.

Related Content

Abul Kalam Azad, Mohamad Dayoob, Fatema Tuz Zohera. © 2024. 21 pages.
W. H. P. A. D. Perera, Mithuni N. Senadeera, Dinusha N. Udukala. © 2024. 26 pages.
Thi Van Anh Nguyen, Trang Nguyen Ngoc, Thanh Tung Bui. © 2024. 43 pages.
Abul Kalam Azad, Mallari Praveen, Wan Mohd Azizi Bin Wan Sulaiman. © 2024. 31 pages.
Bancha Yingngam. © 2024. 43 pages.
Babi Lakkoju, Swapna Asuthkar, Gundla Rambabu, Kolli Balakrishna. © 2024. 20 pages.
Arthi Gunasekaran, Trisha Sathya, Vijaya Anand Arumugam, Balamuralikrishnan Balasubramanian, Asirvatham Alwin Robert, Arun Meyyazhagan. © 2024. 31 pages.
Body Bottom