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10.1371/journal.pone.0187925 http://scihub22266oqcxt.onion/10.1371/journal.pone.0187925 C5679595!5679595 !29121120     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29121120 &cmd=llinks): Failed to open stream: HTTP request failed! 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Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity |pdf=|usr=}}{{29121120 }} gab.com Text Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=29121120 #FOAvip Cancer is considered one of the primary diseases that cause morbidity and mortality in millions of people worldwide and due to its prevalence, there is undoubtedly an unmet need to discover novel anticancer drugs. However, the traditional process of drug discovery and development is lengthy and expensive, so the application of in silico techniques and optimization algorithms in drug discovery projects can provide a solution, saving time and costs. A set of 617 approved anticancer drugs, constituting the active domain, and a set of 2,892 natural products, constituting the inactive domain, were employed to build predictive models and to index natural products for their anticancer bioactivity. Using the iterative stochastic elimination optimization technique, we obtained a highly discriminative and robust model, with an area under the curve of 0.95. Twelve natural products that scored highly as potential anticancer drug candidates are disclosed. Searching the scientific literature revealed that few of those molecules (Neoechinulin, Colchicine, and Piperolactam) have already been experimentally screened for their anticancer activity and found active. The other phytochemicals await evaluation for their anticancerous activity in wet lab. Twit Text FOAVip Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=29121120 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29121120 #FOAvip English Wikipedia <ref>{{Cite pmid|29121120 }}</ref> Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity #MMPMID29121120 Rayan A ; Raiyn J ; Falah M PLoS One 2017[]; 12 (11 ): e0187925 PMID29121120 show ga Cancer is considered one of the primary diseases that cause morbidity and mortality in millions of people worldwide and due to its prevalence, there is undoubtedly an unmet need to discover novel anticancer drugs. However, the traditional process of drug discovery and development is lengthy and expensive, so the application of in silico techniques and optimization algorithms in drug discovery projects can provide a solution, saving time and costs. A set of 617 approved anticancer drugs, constituting the active domain, and a set of 2,892 natural products, constituting the inactive domain, were employed to build predictive models and to index natural products for their anticancer bioactivity. Using the iterative stochastic elimination optimization technique, we obtained a highly discriminative and robust model, with an area under the curve of 0.95. Twelve natural products that scored highly as potential anticancer drug candidates are disclosed. Searching the scientific literature revealed that few of those molecules (Neoechinulin, Colchicine, and Piperolactam) have already been experimentally screened for their anticancer activity and found active. The other phytochemicals await evaluation for their anticancerous activity in wet lab. |Algorithms [MESH] |Antineoplastic Agents/*chemistry/therapeutic use [MESH] |Computer Simulation [MESH] |Drug Discovery/*methods [MESH] |Humans [MESH] |Molecular Structure [MESH] |Neoplasms/*drug therapy [MESH] |Phytochemicals/*chemistry/therapeutic use [MESH] |ROC Curve [MESH] |Stochastic Processes [MESH]Nature is the best source of anticancer drugs: Indexing natural produc(epmc).pdf DeepDyve Pubget Overpricing