用于转化健康研究的计算资源和化学信息学。

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology Advances in protein chemistry and structural biology Pub Date : 2024-01-01 Epub Date: 2024-02-15 DOI:10.1016/bs.apcsb.2023.11.003
Tripti Tripathi, Dev Bukhsh Singh, Timir Tripathi
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引用次数: 0

摘要

计算资源与化学信息学的整合彻底改变了转化健康研究。它为加速药物发现提供了一套强大的工具。本章概述了转化健康研究中使用的计算资源和化学信息学方法。这些资源和方法可用于分析大型数据集、确定潜在候选药物、预测药物与靶点的相互作用以及优化治疗方案。这些资源具有改变药物发现过程和促进个性化医学研究的潜力。我们将深入探讨这些工具在转化医学中的各种应用,并强调有必要应对挑战、促进合作、推动这一领域的发展,以充分发挥这些工具在改变医疗保健方面的潜力。
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Computational resources and chemoinformatics for translational health research.

The integration of computational resources and chemoinformatics has revolutionized translational health research. It has offered a powerful set of tools for accelerating drug discovery. This chapter overviews the computational resources and chemoinformatics methods used in translational health research. The resources and methods can be used to analyze large datasets, identify potential drug candidates, predict drug-target interactions, and optimize treatment regimens. These resources have the potential to transform the drug discovery process and foster personalized medicine research. We discuss insights into their various applications in translational health and emphasize the need for addressing challenges, promoting collaboration, and advancing the field to fully realize the potential of these tools in transforming healthcare.

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来源期刊
Advances in protein chemistry and structural biology
Advances in protein chemistry and structural biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
7.40
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
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