A chemoinformatics approach to the discovery of lead-like molecules from marine and microbial sources en route to antitumor and antibiotic drugs.
A chemoinformatics approach to the discovery of lead-like molecules from marine and microbial sources en route to antitumor and antibiotic drugs.
复制标题
从海洋和微生物来源发现抗肿瘤和抗生素药物的铅样分子的化学信息学方法。
DOI:
10.3390/md12020757
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发表时间:
2014-01-27
期刊:
影响因子:
5.4
通讯作者:
Gaudêncio SP
中科院分区:
文献类型:
--
作者:
Pereira F;Latino DA;Gaudêncio SP
The comprehensive information of small molecules and their biological activities in the PubChem database allows chemoinformatic researchers to access and make use of large-scale biological activity data to improve the precision of drug profiling. A Quantitative Structure–Activity Relationship approach, for classification, was used for the prediction of active/inactive compounds relatively to overall biological activity, antitumor and antibiotic activities using a data set of 1804 compounds from PubChem. Using the best classification models for antibiotic and antitumor activities a data set of marine and microbial natural products from the AntiMarin database were screened—57 and 16 new lead compounds for antibiotic and antitumor drug design were proposed, respectively. All compounds proposed by our approach are classified as non-antibiotic and non-antitumor compounds in the AntiMarin database. Recently several of the lead-like compounds proposed by us were reported as being active in the literature.
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影响因子:
5.6
作者:
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通讯作者:
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DOI:
10.1073/pnas.0503647102
发表时间:
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