| 書目名稱 | Protein Structure Prediction |
| 編輯 | Daisuke Kihara |
| 視頻video | http://file.papertrans.cn/762/761766/761766.mp4 |
| 概述 | Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts |
| 叢書名稱 | Methods in Molecular Biology |
| 圖書封面 |  |
| 描述 | This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful .Methods in Molecular Biology. series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work.?.Authoritative and fully updated, .Protein Structure Prediction, Fourth Edition. is a practical and immediately useful guide for biology researchers working toward modeling protein structures.. |
| 出版日期 | Book 2020Latest edition |
| 關鍵詞 | Protein modeling; Structural bioinformatics; Biophysics; Deep learning; Protein docking; Cryo-electron mi |
| 版次 | 4 |
| doi | https://doi.org/10.1007/978-1-0716-0708-4 |
| isbn_softcover | 978-1-0716-0710-7 |
| isbn_ebook | 978-1-0716-0708-4Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
| issn_series | 1064-3745 |
| copyright | Springer Science+Business Media, LLC, part of Springer Nature 2020 |
|Archiver|手機版|小黑屋|
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