Prediction of Protein Secondary Structure:
This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary st...
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2017
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Schriftenreihe: | Methods in Molecular Biology
1484 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
Zusammenfassung: | This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory. Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists |
Beschreibung: | 1 Online-Ressource (XI, 313 p. 67 illus., 56 illus. in color) |
ISBN: | 9781493964062 |
DOI: | 10.1007/978-1-4939-6406-2 |
Internformat
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520 | |a This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory. Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists | ||
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Datensatz im Suchindex
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any_adam_object | |
author2 | Zhou, Yaoqi Kloczkowski, Andrzej Faraggi, Eshel Yang, Yuedong |
author2_role | edt edt edt edt |
author2_variant | y z yz a k ak e f ef y y yy |
author_facet | Zhou, Yaoqi Kloczkowski, Andrzej Faraggi, Eshel Yang, Yuedong |
building | Verbundindex |
bvnumber | BV044950701 |
classification_rvk | WD 5100 |
collection | ZDB-2-PRO |
ctrlnum | (ZDB-2-PRO)978-1-4939-6406-2 (OCoLC)1036337554 (DE-599)BVBBV044950701 |
dewey-full | 572.6 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 572 - Biochemistry |
dewey-raw | 572.6 |
dewey-search | 572.6 |
dewey-sort | 3572.6 |
dewey-tens | 570 - Biology |
discipline | Biologie |
doi_str_mv | 10.1007/978-1-4939-6406-2 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T08:05:34Z |
institution | BVB |
isbn | 9781493964062 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030343461 |
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physical | 1 Online-Ressource (XI, 313 p. 67 illus., 56 illus. in color) |
psigel | ZDB-2-PRO |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | Springer New York |
record_format | marc |
series2 | Methods in Molecular Biology |
spelling | Prediction of Protein Secondary Structure edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang New York, NY Springer New York 2017 1 Online-Ressource (XI, 313 p. 67 illus., 56 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1484 This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory. Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists Life Sciences Protein Science Life sciences Proteins Zhou, Yaoqi edt Kloczkowski, Andrzej edt Faraggi, Eshel edt Yang, Yuedong edt Erscheint auch als Druck-Ausgabe 9781493964048 https://doi.org/10.1007/978-1-4939-6406-2 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Prediction of Protein Secondary Structure Life Sciences Protein Science Life sciences Proteins |
title | Prediction of Protein Secondary Structure |
title_auth | Prediction of Protein Secondary Structure |
title_exact_search | Prediction of Protein Secondary Structure |
title_full | Prediction of Protein Secondary Structure edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang |
title_fullStr | Prediction of Protein Secondary Structure edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang |
title_full_unstemmed | Prediction of Protein Secondary Structure edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang |
title_short | Prediction of Protein Secondary Structure |
title_sort | prediction of protein secondary structure |
topic | Life Sciences Protein Science Life sciences Proteins |
topic_facet | Life Sciences Protein Science Life sciences Proteins |
url | https://doi.org/10.1007/978-1-4939-6406-2 |
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