Abstract：
The drug discovery and development (DDD) process greatly relies on the data available in various forms to generate hypotheses for novel drug design. The complex and heterogeneous nature of biological data makes it difficult to utilize or gather meaningful information as such. Computational biology techniques have provided us with opportunities to better understand biological systems through refining and organizing large amounts of data into actionable and systematic purviews. The drug repurposing approach has been utilized to overcome the expansive time periods and costs associated with traditional drug development. It deals with discovering new uses of already approved drugs that have an established safety and efficacy profile, thereby, requiring them to go through fewer development phases. Thus, drug repurposing through computational biology provides a systematic approach to drug development and overcomes the constraints of traditional processes. The current chapter covers the basics, approaches and tools of computational biology that can be employed to effectively develop repurposing profile of already approved drug molecules.
摘要：
药物发现和开发（DDD）过程在很大程度上依赖于各种形式的可用数据来产生新药设计的假设。生物数据的复杂性和异质性使得难以利用或收集有意义的信息。计算生物学技术为我们提供了机会，通过将大量数据提炼和组织成可操作和系统的权限来更好地理解生物系统。药物再利用方法已被用来克服与传统药物开发相关的扩展时间段和成本。它涉及发现已经批准的药物的新用途，这些药物具有既定的安全性和有效性，因此，要求他们经历较少的发展阶段。因此，通过计算生物学的药物再利用为药物开发提供了系统的方法，并克服了传统工艺的限制。当前章节涵盖了基础知识，可用于有效开发已批准的药物分子的再利用概况的计算生物学方法和工具。
