Computational Methods for Predicting Post-Translational Modification Sites

Dukka B. Kc

ISBN 10: 1071623168 / ISBN 13: 9781071623169

Editore: Springer US, Springer US, 2022

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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 successfulMethods in Molecular Biologyseries, 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.Authoritative and cutting-edge,Authoritative and cutting-edge,Computational Methods for Predicting Post-Translational Modification Sites aimsto be ausefulguide for researchers who are interested in the field of PTM site prediction.

Codice articolo 9781071623169

Dati bibliografici

• Titolo: Computational Methods for Predicting Post-Translational Modification Sites
• Editore: Springer US, Springer US
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1071623168
• ISBN 13: 9781071623169
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

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>

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>