NDLI: Evolutionary Algorithm for Protein Structure Prediction

Content Provider	IEEE Xplore Digital Library
Author	Kehyayan, C. Mansour, N. Khachfe, H.
Copyright Year	2008
Description	Author affiliation: Dept. of Biol. & Biomed. Sci., Lebanese Int. Univ., Lebanon (Khachfe, H.) \|\| Dept. of Comput. Sci. & Math., Lebanese American Univ., Lebanon (Kehyayan, C.; Mansour, N.)
Abstract	A protein is characterized by its 3D structure,which defines its biological function. In this paper, we present a scatter search algorithm for predicting 3D structures of proteins based on torsion angles representation. Given the protein¿s sequence of amino acids, our algorithm produces a 3D structure that aims to minimize the energy function associated with the structure. Scatter search is an evolutionary approach that is based on a population of candidate solutions. We evaluate our algorithm on proteins taken from a protein data bank. The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. Also, the root mean square deviations of these structures from the reference proteins are promising within limits imposed by the assumptions made.
Starting Page	925
Ending Page	929
File Size	279869
Page Count	5
File Format	PDF
ISBN	9780769534893
DOI	10.1109/ICACTE.2008.130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protein engineering Hydrogen Scattering Evolutionary computation Artificial neural networks Amino acids Biomedical computing Mathematics torsion angles Chemicals protein Biology computing ab initio approach
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Evolutionary algorithm for protein structure prediction

Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions

Pruning neural networks for protein secondary structure prediction

A parallel multi-objective ab initio approach for protein structure prediction

Protein secondary structure prediction using an evolutionary computation method and clustering

Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm

Data representation influences protein secondary structure prediction using artificial neural networks

Neural network based protein structure prediction

A multi-objective genetic algorithm for the Protein Structure Prediction

Evolutionary Algorithm for Protein Structure Prediction

Similar Documents

Evolutionary algorithm for protein structure prediction

Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions

Pruning neural networks for protein secondary structure prediction

A parallel multi-objective ab initio approach for protein structure prediction

Protein secondary structure prediction using an evolutionary computation method and clustering

Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm

Data representation influences protein secondary structure prediction using artificial neural networks

Neural network based protein structure prediction

A multi-objective genetic algorithm for the Protein Structure Prediction

Evolutionary Algorithm for Protein Structure Prediction