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10.1007/978-1-4939-7201-2_15 http://scihub22266oqcxt.onion/10.1007/978-1-4939-7201-2_15 C5880202!5880202!28809006     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Methods+Mol+Biol 2017 ; 1647 (ä): 221-36 Nephropedia Template TP {{tp|p=28809006|t=2017. Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows |pdf=|usr=}}{{28809006}} gab.com Text Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows JO: Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=28809006 #FOAvip We describe a computational protocol to aid the design of small molecule and peptide drugs that target protein-protein interactions, particularly for anti-cancer therapy. To achieve this goal, we explore multiple strategies, including finding binding hot spots, incorporating chemical similarity and bioactivity data, and sampling similar binding sites from homologous protein complexes. We demonstrate how to combine existing interdisciplinary resources with examples of semi-automated workflows. Finally, we discuss several major problems, including the occurrence of drug-resistant mutations, drug promiscuity, and the design of dual-effect inhibitors. Twit Text FOAVip Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows ????Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=28809006 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28809006 #FOAvip English Wikipedia <ref>{{Cite pmid|28809006}}</ref> Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows #MMPMID28809006 Goncearenco A; Li M; Simonetti FL; Shoemaker BA; Panchenko AR Methods Mol Biol 2017[]; 1647 (ä): 221-36 PMID28809006show ga We describe a computational protocol to aid the design of small molecule and peptide drugs that target protein-protein interactions, particularly for anti-cancer therapy. To achieve this goal, we explore multiple strategies, including finding binding hot spots, incorporating chemical similarity and bioactivity data, and sampling similar binding sites from homologous protein complexes. We demonstrate how to combine existing interdisciplinary resources with examples of semi-automated workflows. Finally, we discuss several major problems, including the occurrence of drug-resistant mutations, drug promiscuity, and the design of dual-effect inhibitors. äExploring Protein-Protein Interactions as Drug Targets for Anti-cancer(epmc).pdf DeepDyve Pubget Overpricing