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10.1002/jcc.20186 http://scihub22266oqcxt.onion/10.1002/jcc.20186 15693056!7166849!15693056     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Comput+Chem 2005 ; 26 (5): 484-90 Nephropedia Template TP {{tp|p=15693056|t=2005. SARS-CoV protease inhibitors design using virtual screening method from natural products libraries |pdf=|usr=}}{{15693056}} gab.com Text SARS-CoV protease inhibitors design using virtual screening method from natural products libraries JO: J Comput Chem http://www.kidney.de/pget.php?&tw=1&pmid=15693056 #FOAvip Two natural products databases, the marine natural products database (MNPD) and the traditional Chinese medicines database (TCMD), were used to find novel structures of potent SARS-CoV protease inhibitors through virtual screening. Before the procedure, the databases were filtered by Lipinski's ROF and Xu's extension rules. The results were analyzed by statistic methods to eliminate the bias in target-based database screening toward higher molecular weight compounds for enhancing the hit rate. Eighteen lead compounds were recommended by the screening procedure. They were useful for experimental scientists in prioritizing drug candidates and studying the interaction mechanism. The binding mechanism was also analyzed between the best screening compound and the SARS protein. Twit Text FOAVip SARS-CoV protease inhibitors design using virtual screening method from natural products libraries ????J Comput Chem http://www.kidney.de/pget.php?&tw=1&pmid=15693056 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=15693056 #FOAvip English Wikipedia <ref>{{Cite pmid|15693056}}</ref> SARS-CoV protease inhibitors design using virtual screening method from natural products libraries #MMPMID15693056 Liu B; Zhou J J Comput Chem 2005[Apr]; 26 (5): 484-90 PMID15693056show ga Two natural products databases, the marine natural products database (MNPD) and the traditional Chinese medicines database (TCMD), were used to find novel structures of potent SARS-CoV protease inhibitors through virtual screening. Before the procedure, the databases were filtered by Lipinski's ROF and Xu's extension rules. The results were analyzed by statistic methods to eliminate the bias in target-based database screening toward higher molecular weight compounds for enhancing the hit rate. Eighteen lead compounds were recommended by the screening procedure. They were useful for experimental scientists in prioritizing drug candidates and studying the interaction mechanism. The binding mechanism was also analyzed between the best screening compound and the SARS protein. |*Combinatorial Chemistry Techniques[MESH] |*Databases, Factual[MESH] |*Drug Design[MESH] |Algorithms[MESH] |Biological Products/*chemistry[MESH] |Coronavirus 3C Proteases[MESH] |Cysteine Endopeptidases[MESH] |Drug Evaluation, Preclinical[MESH] |Endopeptidases[MESH] |Medicine, Chinese Traditional[MESH] |Models, Molecular[MESH] |Molecular Conformation[MESH] |Molecular Structure[MESH] |Protease Inhibitors/*chemistry[MESH] |Severe acute respiratory syndrome-related coronavirus/*enzymology[MESH]SARS-CoV protease inhibitors design using virtual screening method fro(epmc).pdf DeepDyve Pubget Overpricing