| 书目名称 | In Silico Modeling of Drugs Against Coronaviruses |
| 副标题 | Computational Tools |
| 编辑 | Kunal Roy |
| 视频video | |
| 概述 | Documents protocols and case studies of computational drug design and computational drug repurposing.Features structure-based and ligand-based approaches in drug design.Covers machine learning/deep le |
| 丛书名称 | Methods in Pharmacology and Toxicology |
| 图书封面 |  |
| 描述 | This essential volume explores a variety of tools and protocols of structure-based (homology modeling, molecular docking, molecular dynamics, protein-protein interaction network) and ligand-based (pharmacophore mapping, quantitative structure-activity relationships or QSARs) drug design for ranking and prioritization of candidate molecules in search of effective treatment strategy against coronaviruses. Beginning with an introductory section that discusses coronavirus interactions with humanity and COVID-19 in particular, the book then continues with sections on tools and methodologies, literature reports and case studies, as well as online tools and databases that can be used for computational anti-coronavirus drug research. Written for the .Methods in Pharmacology and Toxicology. series, chapters include the kind of practical detail and implementation advice that ensures high quality results in the lab. .Comprehensive and timely, .In Silico Modeling ofDrugs Against Coronaviruses: Computational Tools and Protocols. is an ideal reference for researchers working on the development of novel anti-coronavirus drugs for SARS-CoV-2 and for coronaviruses that will likely appear in the fut |
| 出版日期 | Book 2021 |
| 关键词 | Coronavirus; Computational modeling; Drug repurposing; Structure-based modeling; Ligand-based modeling; N |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-0716-1366-5 |
| isbn_softcover | 978-1-0716-1368-9 |
| isbn_ebook | 978-1-0716-1366-5Series ISSN 1557-2153 Series E-ISSN 1940-6053 |
| issn_series | 1557-2153 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines |
发表于 2025-3-21 20:05:27
