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Titlebook: Data Mining Techniques for the Life Sciences; Oliviero Carugo,Frank Eisenhaber Book 2022Latest edition The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 18:27:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Mining Techniques for the Life Sciences
編輯Oliviero Carugo,Frank Eisenhaber
視頻videohttp://file.papertrans.cn/263/262908/262908.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: Data Mining Techniques for the Life Sciences;  Oliviero Carugo,Frank Eisenhaber Book 2022Latest edition The Editor(s) (if applicable) and T
描述.This third edition details new and updated methods and protocols on important databases and data mining tools. Chapters guides readers through archives of macromolecular sequences and three-dimensional structures, databases of protein-protein interactions, methods for prediction conformational disorder, mutant thermodynamic stability, aggregation, and drug response. Quality of structural data and their release, soft mechanics applications in biology, and protein flexibility are considered, too, together with pan-genome analyses, rational drug combination screening and Omics Deep Mining. Written in the format of the highly successful .Methods in Molecular Biology .series, each chapter includes an introduction to the topic, lists necessary materials, includes step-by-step, readily reproducible protocols...?.Authoritative and cutting-edge, .Data Mining Techniques for the Life Sciences, Third Edition. aims to be a practical guide to researches to help furthertheir study in this field..
出版日期Book 2022Latest edition
關(guān)鍵詞Protein-protein complex databases; Genome databases; computational docking; Text mining; Machine learnin
版次3
doihttps://doi.org/10.1007/978-1-0716-2095-3
isbn_softcover978-1-0716-2097-7
isbn_ebook978-1-0716-2095-3Series 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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發(fā)表于 2025-3-21 20:46:10 | 只看該作者
Oliviero Carugo,Frank EisenhaberIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
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978-1-0716-2097-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
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Collaborative Networked Organizationsture. These data can then be used to perform network analysis, to assign putative roles to uncharacterized proteins and to investigate their involvement in cellular pathways..This chapter gives a brief overview of publicly available molecular interaction databases and focuses on the members of the I
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Some American Research Concerns on VO biomacromolecular structures is the Protein Data Bank (PDB). It is managed by wwPDB, a consortium of five partner institutions: the Protein Data Bank in Europe (PDBe), the Research Collaboratory for Structural Bioinformatics (RCSB), the Protein Data Bank Japan (PDBj), the BioMagResBank (BMRB), and
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Sanaz Nikghadam-Hojjati,José Barata. Intrinsically disordered proteins are ubiquitous proteins that fulfill essential biological functions while lacking a stable 3D structure. Their conformational heterogeneity is encoded by the amino acid sequence, thereby allowing intrinsically disordered proteins or regions to be recognized based
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