Computational Systems Biology for New Chemical Entities Bioprospection
暫譯: 新化學實體生物探勘的計算系統生物學

Sabiu, Saheed

Computational Systems Biology for New Chemical Entities Bioprospection
  • 出版商: CRC
  • 出版日期: 2026-09-11
  • 售價: $8,220
  • 貴賓價: 9.5 折 $7,809
  • 語言: 英文
  • 頁數: 528
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041083815
  • ISBN-13: 9781041083818
  • 相關分類: 生物資訊 Bioinformatics

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商品描述

This book presents applications of metabolomics and integrated computational systems modeling in the bioprospecting of novel chemical entities (NCEs) and active pharmaceutical ingredients (APIs) from diverse natural sources. It bridges the gap between basic computational skills and advanced software development. The volume comprises original research articles, experimental protocols, case studies, and comprehensive reviews on computational approaches, including targeted and untargeted metabolomics, network pharmacology, molecular docking, density functional theory, and advanced molecular dynamics simulations, among others. It also covers:

  • An introduction to computational tools, algorithms, and databases relevant to systems biology and their applications in bioprospection
  • A discussion of advanced approaches for the discovery of new bioactive compounds and therapeutic agents
  • Insights into how systems biology simulations of cellular pathways can assist in identifying potential drug targets and bioactive compounds with precise therapeutic effects
  • Reviews of strategic advances in the characterization and application of secondary metabolites derived from plants, microbes, animals, and endophytes
  • Mapping of unexplored target spaces for therapeutic bioprospection

This book is intended for researchers and students in bioengineering, natural products development, phytopharmacology, plant biotechnology, drug discovery and development, phytotherapeutics, and metabolomics.

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商品描述(中文翻譯)

本書介紹了代謝組學及整合計算系統建模在從多樣自然來源中尋找新化學實體（NCEs）和活性藥物成分（APIs）的應用。它彌補了基本計算技能與高級軟體開發之間的差距。本書包含原創研究文章、實驗方案、案例研究以及關於計算方法的綜合評論，包括有針對性和無針對性的代謝組學、網絡藥理學、分子對接、密度泛函理論以及高級分子動力學模擬等內容。它還涵蓋了：

- 相關於系統生物學的計算工具、算法和數據庫的介紹及其在生物探勘中的應用
- 新的生物活性化合物和治療劑發現的高級方法討論
- 系統生物學對細胞途徑的模擬如何協助識別潛在藥物靶點和具有精確治療效果的生物活性化合物的見解
- 來自植物、微生物、動物和內生菌的次級代謝物的特徵化和應用的戰略進展回顧
- 未探索的治療生物探勘靶點空間的繪製

本書旨在為生物工程、天然產品開發、植物藥理學、植物生物技術、藥物發現與開發、植物療法及代謝組學的研究人員和學生提供參考。

作者簡介

Saheed Sabiu is a professor and leads the Computational and Systems Biology Research Group at the Durban University of Technology, South Africa. The Group bio prospects for new chemical entities (NCEs) and active pharmaceutical ingredients (APIs) against communicable and non-communicable diseases for new small molecule targets discovery. Prof. Sabiu has over 100 scholarly papers (articles and book chapters) and one edited book to his credit, actively reviewing for more than 20 journals in his field and serving as an Academic Editor in six international journals. He has mentored several postgraduate students and postdoctoral fellows. Besides being an NRF (National Research Foundation) C1-rated researcher, Prof. Sabiu is a member of the Africa Centres for Disease Control and Prevention (CDC) Focus Group on Vaccine Preventable Diseases (VPD). In 2024, he was announced as a finalist nominee for the South African National Science and Technology Forum (NSTF) awards

作者簡介(中文翻譯)

Saheed Sabiu 是南非德班科技大學的教授，並領導計算與系統生物學研究小組。該小組專注於針對傳染病和非傳染病的新化學實體（NCEs）和活性藥物成分（APIs）的生物前景，以發現新的小分子靶點。Sabiu 教授擁有超過 100 篇學術論文（文章和書籍章節）及一本編輯書籍，並積極為其領域內超過 20 本期刊進行審稿，並擔任六本國際期刊的學術編輯。他指導過多位研究生和博士後研究員。除了是 NRF（國家研究基金會）C1 級研究人員外，Sabiu 教授還是非洲疾病控制與預防中心（CDC）疫苗可預防疾病（VPD）焦點小組的成員。在 2024 年，他被宣布為南非國家科學與技術論壇（NSTF）獎項的決賽提名者。

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