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Titlebook: Computational Methods for Predicting Post-Translational Modification Sites; Dukka B. KC Book 2022 The Editor(s) (if applicable) and The Au

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發(fā)表于 2025-3-21 19:14:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Methods for Predicting Post-Translational Modification Sites
編輯Dukka B. KC
視頻videohttp://file.papertrans.cn/233/232737/232737.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Computational Methods for Predicting Post-Translational Modification Sites;  Dukka B. KC Book 2022 The Editor(s) (if applicable) and The Au
描述.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.?.
出版日期Book 2022
關(guān)鍵詞site prediction; phosphosite prediction; PhosAt; RF-Chlamy; dbPAF
版次1
doihttps://doi.org/10.1007/978-1-0716-2317-6
isbn_softcover978-1-0716-2319-0
isbn_ebook978-1-0716-2317-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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Submersible Technology: Adapting to Changenciple behind the SAPH-ire model, how it is developed, how we evaluate its performance, and important caveats to consider when building and interpreting such models. Finally, we discus current limitations of functional PTM prediction models and highlight potential mechanisms for their improvement.
地板
發(fā)表于 2025-3-22 07:13:54 | 只看該作者
Functions of Glycosylation and Related Web Resources for Its Prediction,glycan-related databases and a glycan repository, bioinformatics approaches have attempted to predict the glycosylation pathway and the glycosylation sites on proteins. This chapter introduces these methods and related Web resources for understanding glycan function.
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Book 2022art 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 include
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發(fā)表于 2025-3-22 23:09:23 | 只看該作者
J. R. McFarlane,M. Mullin,E. Jacksonsed proteomics technologies to maximize PTM coverage are reviewed. Further, requisite experimental validation approaches for PTM predictions are explored to ensure that follow-up mechanistic studies are focused on accurate modification sites.
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