Potential Compounds for Oral Cancer Treatment: Resveratrol, Nimbolide, Lovastatin, Bortezomib, Vorinostat, Berberine, Pterostilbene, Deguelin, Andrographolide, and Colchicine

被引:33
作者
Bundela, Saurabh [1 ,2 ]
Sharma, Anjana [2 ]
Bisen, Prakash S. [1 ,3 ]
机构
[1] Govt India, Minist Def, Def Res Dev Org, Def Res Dev Estab, Gwalior, Madhya Pradesh, India
[2] Rani Durgavati Univ, Dept Postgrad Studies & Res Biol Sci, Jabalpur 482001, Madhya Pradesh, India
[3] Jiwaji Univ, Sch Studies Biotechnol, Gwalior, Madhya Pradesh, India
关键词
GROWTH-FACTOR RECEPTOR; NATURAL-PRODUCTS; DRUG DISCOVERY; CELL INVASION; SUPPRESSION; INHIBITION; APOPTOSIS; CURCUMIN; EXPRESSION; DELIVERY;
D O I
10.1371/journal.pone.0141719
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Oral cancer is one of the main causes of cancer-related deaths in South-Asian countries. There are very limited treatment options available for oral cancer. Research endeavors focused on discovery and development of novel therapies for oral cancer, is necessary to control the ever rising oral cancer related mortalities. We mined the large pool of compounds from the publicly available compound databases, to identify potential therapeutic compounds for oral cancer. Over 84 million compounds were screened for the possible anti-cancer activity by custom build SVM classifier. The molecular targets of the predicted anti-cancer compounds were mined from reliable sources like experimental bioassays studies associated with the compound, and from protein-compound interaction databases. Therapeutic compounds from DrugBank, and a list of natural anti-cancer compounds derived from literature mining of published studies, were used for building partial least squares regression model. The regression model thus built, was used for the estimation of oral cancer specific weights based on the molecular targets. These weights were used to compute scores for screening the predicted anti-cancer compounds for their potential to treat oral cancer. The list of potential compounds was annotated with corresponding physicochemical properties, cancer specific bioactivity evidences, and literature evidences. In all, 288 compounds with the potential to treat oral cancer were identified in the current study. The majority of the compounds in this list are natural products, which are well-tolerated and have minimal side-effects compared to the synthetic counterparts. Some of the potential therapeutic compounds identified in the current study are resveratrol, nimbolide, lovastatin, bortezomib, vorinostat, berberine, pterostilbene, deguelin, andrographolide, and colchicine.
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页数:31
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