Computational approaches for novel therapeutic and diagnostic designing to mitigate SARS-CoV-2 infection : revolutionary strategies to combat pandemics

• Material Type: 図書
• ISBN: 9780323911726 (pbk.); 0323911722 (pbk.)
• ISBN (error code): 9780323998000 (ePub ebook)
• Title: Computational approaches for novel therapeutic and diagnostic designing to mitigate SARS-CoV-2 infection : revolutionary strategies to combat pandemics
• Author/Editor: edited by Arpana Parihar, Raju Khan, Ashok Kumar, Ajeet Kumar Kaushik, Hardik Gohel
• Author Heading: Parihar, Arpana
• Publication, Distribution, etc.: London : Academic Press (出版)
• Publication Date: [2022]; 著作権日付 : ©2022
• Publication Date (W3CDTF): 2022
• Extent: xxiii 594 pages
• Other physical details: color illustrations
• Size: 24 cm
• Place of Publication (Country Code): GB
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease)--Treatment--Technological innovations; Medical informatics; Medical informatics.
• LCC: RA644.C67
• DDC: 616.241406
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references and index
• Holding library: 国立国会図書館
• Call No.: EG244-D215
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031971960; http://id.ndl.go.jp/bib/031971960
• OCLC No.: 1328023448; https://www.worldcat.org/oclc/1328023448
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Summary, etc.: Recent advances in computational biology have enabled researchers to opt for faster methods for specific drug design or to repurpose existing approved...