Computational Methods for Predicting Post-translational Modification Sites: 2499 - Rilegato

Rilegato

ISBN 10: 1071623168 ISBN 13: 9781071623169

Casa editrice: Humana Pr Inc, 2022

Riassunto

<p>This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful&nbsp;<i>Methods in Molecular Biology&nbsp;</i>series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.</p><p>&nbsp;Authoritative and cutting-edge,&nbsp;Authoritative and cutting-edge,&nbsp;<i>&nbsp;Computational Methods for Predicting Post-Translational Modification Sites </i>aims&nbsp;to be a&nbsp;useful&nbsp;guide for researchers who are interested in the field of PTM site prediction.&nbsp;</p>

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Dalla quarta di copertina

This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful&nbsp;<i>Methods in Molecular Biology&nbsp;</i>series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.<p>&nbsp;</p><p>Authoritative and cutting-edge,&nbsp;Authoritative and cutting-edge,&nbsp;<i>&nbsp;Computational Methods for Predicting Post-Translational Modification Sites </i>aims&nbsp;to be a&nbsp;useful&nbsp;guide for researchers who are interested in the field of PTM site prediction.&nbsp;</p>

Dettagli dell'edizione

• Editore: Humana Pr Inc
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1071623168
• ISBN 13: 9781071623169
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 344
• Redattore: C. Dukka K.
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania