Prachayasittikul Veda, Worachartcheewan Apilak, Shoombuatong Watshara, Songtawee Napat, Simeon Saw, Prachayasittikul Virapong, Nantasenamat Chanin
Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Curr Top Med Chem. 2015;15(18):1780-800. doi: 10.2174/1568026615666150506151101.
Natural products have been an integral part of sustaining civilizations because of their medicinal properties. Past discoveries of bioactive natural products have relied on serendipity, and these compounds serve as inspiration for the generation of analogs with desired physicochemical properties. Bioactive natural products with therapeutic potential are abundantly available in nature and some of them are beyond exploration by conventional methods. The effectiveness of computational approaches as versatile tools for facilitating drug discovery and development has been recognized for decades, without exception, in the case of natural products. In the post-genomic era, scientists are bombarded with data produced by advanced technologies. Thus, rendering these data into knowledge that is interpretable and meaningful becomes an essential issue. In this regard, computational approaches utilize the existing data to generate knowledge that provides valuable understanding for addressing current problems and guiding the further research and development of new natural-derived drugs. Furthermore, several medicinal plants have been continuously used in many traditional medicine systems since antiquity throughout the world, and their mechanisms have not yet been elucidated. Therefore, the utilization of computational approaches and advanced synthetic techniques would yield great benefit to improving the world's health population and well-being.
由于其药用特性,天然产物一直是维持文明不可或缺的一部分。过去生物活性天然产物的发现依赖于偶然性,这些化合物为生成具有所需物理化学性质的类似物提供了灵感。具有治疗潜力的生物活性天然产物在自然界中大量存在,其中一些用传统方法难以探索。几十年来,计算方法作为促进药物发现和开发的通用工具的有效性已得到认可,天然产物的情况也不例外。在后基因组时代,科学家们被先进技术产生的数据所淹没。因此,将这些数据转化为可解释且有意义的知识成为一个至关重要的问题。在这方面,计算方法利用现有数据生成知识,为解决当前问题和指导新的天然来源药物的进一步研发提供有价值的理解。此外,自古以来,世界上许多传统医学体系一直在持续使用几种药用植物,但其作用机制尚未阐明。因此,利用计算方法和先进的合成技术将对改善全球人口健康和福祉大有裨益。