國立虎尾科技大學 |

A metaheuristic approach to protein structure prediction = algorithms and insights from fitness landscape analysis /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A metaheuristic approach to protein structure prediction/ by Nanda Dulal Jana, Swagatam Das, Jaya Sil.
其他題名:	algorithms and insights from fitness landscape analysis /
作者:	Jana, Nanda Dulal.
其他作者:	Das, Swagatam.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xxix, 220 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Engineering. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-74775-0
ISBN:	9783319747750

A metaheuristic approach to protein structure prediction = algorithms and insights from fitness landscape analysis /
Jana, Nanda Dulal.

A metaheuristic approach to protein structure predictionalgorithms and insights from fitness landscape analysis /[electronic resource] :by Nanda Dulal Jana, Swagatam Das, Jaya Sil. - Cham :Springer International Publishing :2018. - xxix, 220 p. :ill., digital ;24 cm. - Emergence, complexity and computation,v.312194-7287 ;. - Emergence, complexity and computation ;v.5..

Metaheuristic Protein Structure Prediction-An Overview -- Related Works -- Continuous Landscape Analysis using Random Walk Algorithm -- Landscape Characterization and Algorithms Selection for the PSP Problem -- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction -- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms -- Hybrid Metaheuristic Approach for Protein Structure Prediction -- Conclusions and Future Research.

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.

ISBN: 9783319747750

Standard No.: 10.1007/978-3-319-74775-0doiSubjects--Topical Terms:

561152
Engineering.

LC Class. No.: Q342 / .J363 2018

Dewey Class. No.: 572.633

A metaheuristic approach to protein structure prediction = algorithms and insights from fitness landscape analysis /
LDR:02574nam a2200325 a 4500 001 925067
003 DE-He213
005 20180927151309.0
006 m d
007 cr nn 008maaau
008 190625s2018 gw s 0 eng d
020 $a 9783319747750 $q (electronic bk.)
020 $a 9783319747743 $q (paper)
024 7 $a 10.1007/978-3-319-74775-0 $2 doi
035 $a 978-3-319-74775-0
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .J363 2018
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 572.633 $2 23
090 $a Q342 $b .J33 2018
100 1 $a Jana, Nanda Dulal. $3 1202453
245 1 2 $a A metaheuristic approach to protein structure prediction $h [electronic resource] : $b algorithms and insights from fitness landscape analysis / $c by Nanda Dulal Jana, Swagatam Das, Jaya Sil.
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xxix, 220 p. : $b ill., digital ; $c 24 cm.
490 1 $a Emergence, complexity and computation, $x 2194-7287 ; $v v.31
505 0 $a Metaheuristic Protein Structure Prediction-An Overview -- Related Works -- Continuous Landscape Analysis using Random Walk Algorithm -- Landscape Characterization and Algorithms Selection for the PSP Problem -- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction -- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms -- Hybrid Metaheuristic Approach for Protein Structure Prediction -- Conclusions and Future Research.
520 $a This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.
650 0 $a Engineering. $3 561152
650 0 $a Artificial intelligence. $3 559380
650 0 $a Proteins. $3 584006
650 0 $a Computational intelligence. $3 568984
650 0 $a Computational complexity. $3 527777
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Complexity. $3 669595
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Protein Structure. $3 782128
700 1 $a Das, Swagatam. $3 896903
700 1 $a Sil, Jaya. $3 1202454
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Emergence, complexity and computation ; $v v.5. $3 1019415
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-74775-0
950 $a Engineering (Springer-11647)