Computational Methods for Predicting Post-Translational Modification Sites (1st ed. 2022)

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 Methods in Molecular Biology 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.  Authoritative and cutting-edge, Authoritative and cutting-edge,  Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction. 

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2499
Release date:	June 2023
First published:	2022
Editors:	Dukka B. KC
Dimensions:	254 x 178mm (L x W)
Pages:	326
Edition:	1st ed. 2022
ISBN-13:	978-1-07-162319-0
Categories:	Books Promotions
LSN:	1-07-162319-2
Barcode:	9781071623190

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