000 | 03819nam a22006015i 4500 | ||
---|---|---|---|
001 | 978-3-319-74775-0 | ||
003 | DE-He213 | ||
005 | 20220801214222.0 | ||
007 | cr nn 008mamaa | ||
008 | 180305s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319747750 _9978-3-319-74775-0 |
||
024 | 7 |
_a10.1007/978-3-319-74775-0 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aTEC009000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aJana, Nanda Dulal. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _937049 |
|
245 | 1 | 2 |
_aA Metaheuristic Approach to Protein Structure Prediction _h[electronic resource] : _bAlgorithms and Insights from Fitness Landscape Analysis / _cby Nanda Dulal Jana, Swagatam Das, Jaya Sil. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
300 |
_aXXIX, 220 p. 59 illus., 54 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aEmergence, Complexity and Computation, _x2194-7295 ; _v31 |
|
505 | 0 | _aMetaheuristic 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 | _aThis 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 |
_aComputational intelligence. _97716 |
|
650 | 0 |
_aDynamics. _937050 |
|
650 | 0 |
_aNonlinear theories. _93339 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aProteins. _937051 |
|
650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aApplied Dynamical Systems. _932005 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aProteins. _937051 |
700 | 1 |
_aDas, Swagatam. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _937052 |
|
700 | 1 |
_aSil, Jaya. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _937053 |
|
710 | 2 |
_aSpringerLink (Online service) _937054 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319747743 |
776 | 0 | 8 |
_iPrinted edition: _z9783319747767 |
776 | 0 | 8 |
_iPrinted edition: _z9783030090753 |
830 | 0 |
_aEmergence, Complexity and Computation, _x2194-7295 ; _v31 _937055 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-74775-0 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c76094 _d76094 |