tetano
Editor, Senior Moderator
J Chem Inf Model. 2015 Jan 2. [Epub ahead of print]
[h=1]A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity.[/h] Khairul Ikram NK, Durrant JD, Muchtaridi M, Zalaludin AS, Purwitasari N, Mohamed N, Abdul Rahim AS, Chan KL, M Normi Y, Rahman NA, Amaro RE, Wahab H.
[h=3]Abstract[/h] Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to develop novel anti-influenza therapeutics. Here we report computational and experimental efforts to identify influenza neuraminidase inhibitors from among the 3000 natural compounds in the Malaysian-Plants Natural-Product (NADI) database. These 3000 compounds were first docked into the neuraminidase active site. The five plants with the largest number of top predicted ligands were selected for experimental evaluation. Twelve specific compounds isolated from these five plants were shown to inhibit neuraminidase, including two compounds with IC50 values less than 92 μM. Furthermore, four of the twelve isolated compounds had also been identified in the top 100 compounds from the virtual screen. Together, these results suggest an effective new approach for identifying bioactive plant species that will further the identification of new pharmacologically active compounds from diverse natural-product resources.
PMID: 25555059 [PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/25555059
[h=1]A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity.[/h] Khairul Ikram NK, Durrant JD, Muchtaridi M, Zalaludin AS, Purwitasari N, Mohamed N, Abdul Rahim AS, Chan KL, M Normi Y, Rahman NA, Amaro RE, Wahab H.
[h=3]Abstract[/h] Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to develop novel anti-influenza therapeutics. Here we report computational and experimental efforts to identify influenza neuraminidase inhibitors from among the 3000 natural compounds in the Malaysian-Plants Natural-Product (NADI) database. These 3000 compounds were first docked into the neuraminidase active site. The five plants with the largest number of top predicted ligands were selected for experimental evaluation. Twelve specific compounds isolated from these five plants were shown to inhibit neuraminidase, including two compounds with IC50 values less than 92 μM. Furthermore, four of the twelve isolated compounds had also been identified in the top 100 compounds from the virtual screen. Together, these results suggest an effective new approach for identifying bioactive plant species that will further the identification of new pharmacologically active compounds from diverse natural-product resources.
PMID: 25555059 [PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/25555059