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Protein Structure Prediction (Methods in Molecular Biology, 2165, Band 2165) - Hardcover

 
9781071607077: Protein Structure Prediction (Methods in Molecular Biology, 2165, Band 2165)
Hardcover
ISBN 10: 1071607073 ISBN 13: 9781071607077
Verlag: Humana, 2020

Inhaltsangabe

This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work. 


Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.

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This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work. 


Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.

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Verlag
Humana
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
1071607073
ISBN 13 
9781071607077
Einband
Gebundene Ausgabe
Auflage
4
Anzahl der Seiten
370
Herausgeber
Kihara Daisuke
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