NDLI: Approaches to prediction of protein structure

Content Provider	IEEE Xplore Digital Library
Author	Ahmed, W.F. Gomaa, W.
Copyright Year	2011
Description	Author affiliation: Collage of Computing and Information Technology, Arab Academy for Science and Technology And Maritime Transport, Alexandria, Egypt (Ahmed, W.F.) \|\| Department of Computer Science and Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt (Gomaa, W.)
Abstract	Protein structure prediction (PSP) is one of the most important and challenging problems in bioinformatics today. This is due to the fact that the biological function of the protein is determined by its structure. While there is a gap between the number of known protein sequences and the number of known structures, protein structure prediction aims at reducing this sequence-structure gap. Protein structure can be experimentally determined using either X-ray crystallography or Nuclear Magnetic Resonance (NMR). However, these empirical techniques are very time consuming, so computational models and the associated algorithms have been developed for protein structure prediction. Such computational models fall into three categories: the homology approach, threading, and the ab initio approach. In this paper we give a general introductory background to the area and a literature survey about the ab initio approach in particular. This approach depends on the chemical and physical properties of the constituent amino acids. Not all ab initio algorithms have the same performance, so we represent the general success keys for any such algorithm.
Starting Page	284
Ending Page	284
File Size	104982
Page Count	1
File Format	PDF
ISBN	9781457704758
ISSN	21615330
e-ISBN	9781457704765
e-ISBN	9781457704741
DOI	10.1109/AICCSA.2011.6126616
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-27
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Heuristic algorithms Prediction algorithms Amino acids Computational modeling Educational institutions
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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