Cadd and Informatics in Drug Discovery
Rudrapal, Mithun, Khan, Johra
- 出版商: Springer
- 出版日期: 2024-05-14
- 售價: $8,600
- 貴賓價: 9.5 折 $8,170
- 語言: 英文
- 頁數: 366
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819913187
- ISBN-13: 9789819913183
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商品描述
This book updates knowledge on recent advances in computational, biophysical and bioinformatics tools/techniques and their practical applications in modern drug design and discovery paradigm. It also encompasses fundamental principles, advanced methodologies and applications of various CADD approaches including several cutting-edge areas; presenting recent developments covering ongoing trends in the field of computer-aided drug discovery. Having contributions by a global team of experts, the book is expected to be an ideal resource for drug discovery scientists, medicinal chemists, pharmacologists, toxicologists, phytochemists, biochemists, biologists, R&D personnel, researchers, students, teachers and those working in the field of drug discovery. It will fill the knowledge gaps that exist in the current CADD approaches and methodologies/ protocols being widely used in both academic and research practices. Further, a special focus on current status of various computational drug design approaches (SBDD, LBDD, de novo drug design, pharmacophore-based search), bioinformatics tools and databases, computational screening and modeling of phytochemicals/natural products, artificial intelligence and machine learning, and network pharmacology and systems biology would certainly guide researchers, students or readers to conduct their research in the emerging area(s) of interest. It is also expected to be highly beneficial to various stakeholders working in the pharmaceutical and biotechnology industries (R&D), the academic as well as research sectors.
商品描述(中文翻譯)
本書更新了計算、生物物理學和生物信息學工具/技術在現代藥物設計和發現範式中的實際應用方面的知識。它包括基本原理、先進方法和各種計算輔助藥物設計方法的應用,包括一些尖端領域;介紹了計算輔助藥物發現領域中正在進行的趨勢的最新發展。本書由全球專家團隊貢獻,預計將成為藥物發現科學家、藥物化學家、藥理學家、毒理學家、植物化學家、生物化學家、生物學家、研發人員、研究人員、學生、教師以及從事藥物發現領域工作的人的理想資源。它將填補目前在學術和研究實踐中廣泛使用的計算輔助藥物設計方法和方法/協議中存在的知識空白。此外,特別關注當前各種計算藥物設計方法(SBDD、LBDD、de novo藥物設計、基於藥效圖的搜索)、生物信息學工具和數據庫、植物化學物質/天然產物的計算篩選和建模、人工智能和機器學習,以及網絡藥理學和系統生物學,無疑會指導研究人員、學生或讀者在感興趣的新興領域進行研究。它還預計對從事制藥和生物技術行業(研發)、學術界和研究部門的各方利益相關者將非常有益。
作者簡介
Mithun Rudrapal, PhD, FIC, CChem, is Associate Professor at the Department of Pharmaceutical Sciences, School of Biotechnology & Pharmaceutical Sciences, Vignan's Foundation for Science, Technology and Research (Deemed to be University) Guntur, India. Dr. Rudrapal has been actively engaged in teaching and research the field of Pharmaceutical and Allied Sciences for more than 12 years. He has over a hundred publications in peer-reviewed international journals to his credit and has filed a number Indian and International patents. In addition, Dr. Rudrapal is the author of dozen published or forthcoming books. Dr. Rudrapal works in the areas of Medicinal Chemistry, CADD, Drug Repurposing, Phytochemistry, Herbal Drugs and Nanophytotherapeutics.
Dr. Johra KhanDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University作者簡介(中文翻譯)
Mithun Rudrapal博士,FIC,CChem,是印度岡特爾Vignan's Foundation for Science,Technology and Research(被譽為大學)生物技術與製藥科學學院製藥科學系的副教授。Rudrapal博士在製藥和相關科學領域從事教學和研究已超過12年。他在同行評審的國際期刊上發表了100多篇文章,並申請了多個印度和國際專利。此外,Rudrapal博士還是十多本已出版或即將出版的書籍的作者。Rudrapal博士的研究領域包括藥物化學、計算藥物設計、藥物再利用、植物化學、中草藥和納米植物治療學。
Johra Khan博士,醫學實驗室科學系,應用醫學科學學院,Majmaah大學。