药物发现中的开放访问数据库和数据集（方法与药物化学原理）

English | 2023 | ISBN: 978-3527348398 | 344 pages | PDF, True EPUB | 52.88 MB

Open Access Databases and Datasets for Drug Discovery Timely resource discussing the future of data-driven drug discovery and the growing number of open-source databases

With an overview of 90 freely accessible databases and datasets on all aspects of drug design, development, and discovery, Open Access Databases and Datasets for Drug Discovery is a comprehensive guide to the vast amount of “free data” available to today’s pharmaceutical researchers. The applicability of open-source data for drug discovery and development is analyzed, and their usefulness in comparison with commercially available tools is evaluated.

The most relevant databases for small molecules, drugs and druglike substances, ligand design, protein 3D structures (both experimental and calculated), and human drug targets are described in depth, including practical examples of how to access and work with the data. The first part is focused on databases for small molecules, followed by databases for macromolecular targets and diseases. The final part shows how to integrate various open-source tools into the academic and industrial drug discovery and development process.

Contributed to and edited by experts with long-time experience in the field, Open Access Databases and Datasets for Drug Discovery includes information on

An extensive listing of open access databases and datasets for computer-aided drug design PubChem as a chemical database for drug discovery, DrugBank Online, and bioisosteric replacement for drug discovery supported by the SwissBioisostere database The Protein Data Bank (PDB) and macromolecular structure data supporting computer-aided drug design, and the SWISS-MODEL repository of 3D protein structures and models PDB-REDO in computational aided drug design (CADD), and using Pharos/TCRD for discovering druggable targets Unmatched in scope and thoroughly reviewing small and large open data sources relevant for rational drug design, Open Access Databases and Datasets for Drug Discovery is an essential reference for medicinal and pharmaceutical chemists, and any scientists involved in the drug discovery and drug development.

药物发现中的开放访问数据库和数据集

关于基于数据的药物发现未来的及时资源，以及开放源代码数据库数量的增长。该资源涵盖了药物设计、开发和发现的所有方面，包括90个完全免费访问的数据库和数据集，Open Access Databases and Datasets for Drug Discovery 是制药研究人员可获取的海量“免费数据”的全面指南。

分析了开源数据在药物发现和发展中的适用性，并评估了它们与商业可用工具相比的实用性。该资源详细描述了针对小分子、药物及其类似物、配体设计、蛋白质3D结构（实验和计算）、以及人体药物靶标的相关数据库，包括如何访问和使用这些数据的实际示例。

首先部分专注于小分子数据库，随后是大分子目标和疾病的数据库。最后部分展示了将各种开源工具整合到学术和工业药物发现与开发过程中的方法。

由该领域拥有丰富经验的专家编写并编辑的Open Access Databases and Datasets for Drug Discovery包括：

计算机辅助药物设计开放访问数据库和数据集的全面目录 PubChem作为用于药物发现的化学库，DrugBank Online生物等同替换以支持药物发现，并由瑞士生物等同替换数据库提供支持 蛋白质数据银行（PDB）及其对基于计算的药物设计的支持，以及SWISS-MODEL三维蛋白结构和模型仓库 在计算机辅助药物设计中的PDB-REDO，及使用Pharos/TCRD发现可药靶的方法 全面且详尽地审视了可用于理性药物设计的小型与大型开放数据源，Open Access Databases and Datasets for Drug Discovery 是医学和制药化学家以及任何参与药物发现和开发的科学家的重要参考书籍。

---

Download from free file storage

 Download from rapidgator.net  Download from nitroflare.com

---

我要反馈

---

本站不对文件进行储存，仅提供文件链接，请自行下载，本站不对文件内容负责，请自行判断文件是否安全，如发现文件有侵权行为，请联系管理员删除。