Integrative Omics and Systems Pharmacology for COVID-19
暫譯: 整合性組學與系統藥理學在COVID-19中的應用
Chen, Jen-Tsung
- 出版商: Apple Academic Press
- 出版日期: 2025-11-18
- 售價: $8,490
- 貴賓價: 9.5 折 $8,066
- 語言: 英文
- 頁數: 442
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1998511200
- ISBN-13: 9781998511204
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相關分類:
Python、AI Coding
海外代購書籍(需單獨結帳)
商品描述
In 2019, the emerging RNA virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), gained the ability to infect human beings, then turned into human-to-human transmission, and eventually led to a pandemic of coronavirus disease 2019 (COVID-19), causing serious damage not only to global public health but also economic activities for years. Now, fast-mutating SARS-CoV-2 continues to produce new variants that threaten the world. As such, there is still a high demand for the development of effective treatments for combating new variants of SARS-CoV-2 infection and mitigating diverse post-COVID symptoms, including those who are long-COVID patients.
This book introduces cutting-edge ways for drug discovery and pharmacological approaches to develop treatments and medications for COVID-19 based on modern technologies that highlight the applications of integrated multiple omics and advanced bioinformatics tools. It also lists a range of promising bioactive compounds derived from traditional herbal medicines and natural products. The book explains the expanding strategy to integrate a series of approaches including genomics, metagenomics, transcriptomics, proteomics, metabolomics, epigenomics, and bioinformatics to organize a system of multiple omics. International and reliable multi-omics databases, bioinformatics tools, and software are also comprehensively summarized and thus can be easily accessed by researchers. Artificial intelligence (AI) as a revolutionary tool in the fields of drug discovery, vaccine development, and computational medicine for COVID-19 is also addressed. The coordination and integration of AI tools within the system of multiple omics and the limitations and future directions of AI-assisted strategies for COVID-19-related research are comprehensively discussed as well.
商品描述(中文翻譯)
在2019年，新興的RNA病毒——嚴重急性呼吸綜合症冠狀病毒2型（SARS-CoV-2）獲得了感染人類的能力，隨後轉變為人傳人，最終導致2019冠狀病毒病（COVID-19）疫情的爆發，對全球公共健康和經濟活動造成了嚴重損害，影響持續多年。如今，快速突變的SARS-CoV-2仍在不斷產生新的變異株，威脅著全球。因此，對於開發有效的治療方法以對抗SARS-CoV-2感染的新變異株以及減輕各種後COVID症狀（包括長期COVID患者）的需求依然很高。
本書介紹了基於現代技術的藥物發現和藥理學方法，以開發針對COVID-19的治療和藥物，強調整合多重組學和先進生物信息學工具的應用。書中還列出了來自傳統草藥和天然產品的一系列有前景的生物活性化合物。該書解釋了擴展策略，整合包括基因組學、宏基因組學、轉錄組學、蛋白質組學、代謝組學、表觀基因組學和生物信息學在內的一系列方法，以組織多重組學系統。國際和可靠的多組學數據庫、生物信息學工具和軟體也被全面總結，研究人員可以輕鬆訪問。人工智慧（AI）作為藥物發現、疫苗開發和計算醫學領域中針對COVID-19的革命性工具也得到了討論。AI工具在多重組學系統中的協調和整合，以及AI輔助策略在COVID-19相關研究中的局限性和未來方向也得到了全面探討。
作者簡介
Jen-Tsung Chen, PhD, is a Professor of Cell Biology at the National University of Kaohsiung in Taiwan, where he teaches genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen's research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and journals in an effort to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, ethnopharmacology, systems biology, and drug discovery. He serves as an editorial board member and a guest editor for several reputed journals. Dr. Chen has published books in collaboration with international publishers on diverse topics such as drug discovery, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, CRISPR-based plant genome editing, and artificial intelligence. He has been included in the list of the World's Top 2% Scientists 2023 by Stanford University.
作者簡介(中文翻譯)
陳仁宗博士是台灣高雄大學的細胞生物學教授，教授基因組學、蛋白質組學、植物生理學和植物生物技術。陳博士的研究興趣包括生物活性化合物、色譜技術、植物分子生物學、植物生物技術、生物資訊學和系統藥理學。他積極擔任學術書籍和期刊的編輯，以推進涉及植物生理學、植物生物技術、納米技術、民族藥理學、系統生物學和藥物發現的多學科知識探索。他擔任多本知名期刊的編輯委員會成員和客座編輯。陳博士與國際出版商合作出版了多本書籍，涵蓋藥物發現、草藥醫學、醫藥生物技術、納米技術、生物工程、植物功能基因組學、植物快速育種、基於CRISPR的植物基因組編輯和人工智慧等多樣主題。他被史丹佛大學列入2023年全球前2%科學家名單。
