Structural Bioinformatics: Applications in Preclinical Drug Discovery Process (Challenges and Advances in Computational Chemistry and Physics)
暫譯: 結構生物資訊學:在臨床前藥物發現過程中的應用(計算化學與物理的挑戰與進展)

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商品描述

This book reviews the advances and challenges of structure-based drug design in the preclinical drug discovery process, addressing various diseases, including malaria, tuberculosis and cancer. Written by internationally recognized researchers, this edited book discusses how the application of the various in-silico techniques, such as molecular docking, virtual screening, pharmacophore modeling, molecular dynamics simulations, and residue interaction networks offers insights into pharmacologically active novel molecular entities. It presents a clear concept of the molecular mechanism of different drug targets and explores methods to help understand drug resistance. In addition, it includes chapters dedicated to natural-product- derived medicines, combinatorial drug discovery, the CryoEM technique for structure-based drug design and big data in drug discovery.

The book offers an invaluable resource for graduate and postgraduate students, as well as for researchers in academic and industrial laboratories working in the areas of chemoinformatics, medicinal and pharmaceutical chemistry and pharmacoinformatics.

商品描述(中文翻譯)

本書回顧了基於結構的藥物設計在臨床前藥物發現過程中的進展與挑戰,涵蓋了包括瘧疾、結核病和癌症等各種疾病。這本由國際知名研究人員編寫的書籍討論了各種計算技術的應用,例如分子對接(molecular docking)、虛擬篩選(virtual screening)、藥效團建模(pharmacophore modeling)、分子動力學模擬(molecular dynamics simulations)和殘基互動網絡(residue interaction networks),這些技術為藥理活性新分子的洞察提供了幫助。它清晰地呈現了不同藥物靶點的分子機制概念,並探討了幫助理解藥物抗性的方法。此外,本書還包括專門針對天然產物衍生藥物、組合藥物發現、基於結構的藥物設計的冷凍電子顯微鏡技術(CryoEM)以及藥物發現中的大數據的章節。

本書對於研究化學資訊學、藥物化學和藥物資訊學的研究生及研究人員,以及在學術和工業實驗室工作的研究人員來說,都是一個寶貴的資源。

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