背景(考古学)
计算机科学
药品
药物发现
虚拟筛选
生化工程
药理学
计算生物学
生物信息学
医学
生物
工程类
古生物学
作者
Rodrigo Santos Aquino de Araújo,Edeildo Ferreira da Silva‐Júnior,Thiago Mendonça de Aquino,Luciana Scotti,Hamilton Mitsugu Ishiki,Luciana Scotti,Francisco Jaime Bezerra Mendonça
标识
DOI:10.2174/1568026620666200607191838
摘要
: Computer-Aided Drug Design (CADD) techniques have garnered a great deal of attention in academia and industry because of their great versatility, low costs, possibilities of cost reduction in in vitro screening and in the development of synthetic steps; these techniques are compared with highthroughput screening, in particular for candidate drugs. The secondary metabolism of plants and other organisms provide substantial amounts of new chemical structures, many of which have numerous biological and pharmacological properties for virtually every existing disease, including cancer. In oncology, compounds such as vimblastine, vincristine, taxol, podophyllotoxin, captothecin and cytarabine are examples of how important natural products enhance the cancer-fighting therapeutic arsenal. : In this context, this review presents an update of Ligand-Based Drug Design and Structure-Based Drug Design techniques applied to flavonoids, alkaloids and coumarins in the search of new compounds or fragments that can be used in oncology. : A systematical search using various databases was performed. The search was limited to articles published in the last 10 years. : The great diversity of chemical structures (coumarin, flavonoids and alkaloids) with cancer properties, associated with infinite synthetic possibilities for obtaining analogous compounds, creates a huge chemical environment with potential to be explored, and creates a major difficulty, for screening studies to select compounds with more promising activity for a selected target. CADD techniques appear to be the least expensive and most efficient alternatives to perform virtual screening studies, aiming to selected compounds with better activity profiles and better “drugability”.
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