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http://scihub22266oqcxt.onion/ C4109661!4109661!25050439     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proteins 2014 ; 82 (7): 1168-85 Nephropedia Template TP {{tp|p=25050439|t=2014. Coarse Grained Model for Biological Simulations: Recent Refinements and Validation |pdf=|usr=}}{{25050439}} gab.com Text Coarse Grained Model for Biological Simulations: Recent Refinements and Validation JO: Proteins http://www.kidney.de/pget.php?&tw=1&pmid=25050439 #FOAvip Exploring the free energy landscape of proteins and modeling the corresponding functional aspects presents a major challenge for computer simulation approaches. This challenge is due to the complexity of the landscape and the enormous computer time needed for converging simulations. The use of various simplified coarse grained (CG) models offers an effective way of sampling the landscape, but most current models are not expected to give a reliable description of protein stability and functional aspects. The main problem is associated with insufficient focus on the electrostatic features of the model. In this respect our recent CG model offers significant advantage as it has been refined while focusing on its electrostatic free energy. Here we review the current state of our model, describing recent refinement, extensions and validation studies while focusing on demonstrating key applications. These include studies of protein stability, extending the model to include membranes and electrolytes and electrodes as well as studies of voltage activated proteins, protein insertion trough the translocon, the action of molecular motors and even the coupling of the stalled ribosome and the translocon. Our example illustrates the general potential of our approach in overcoming major challenges in studies of structure function correlation in proteins and large macromolecular complexes. Twit Text FOAVip Coarse Grained Model for Biological Simulations: Recent Refinements and Validation ????Proteins http://www.kidney.de/pget.php?&tw=1&pmid=25050439 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25050439 #FOAvip English Wikipedia <ref>{{Cite pmid|25050439}}</ref> Coarse Grained Model for Biological Simulations: Recent Refinements and Validation #MMPMID25050439 Vicatos S; Rychkova A; Mukherjee S; Warshel A Proteins 2014[Jul]; 82 (7): 1168-85 PMID25050439show ga Exploring the free energy landscape of proteins and modeling the corresponding functional aspects presents a major challenge for computer simulation approaches. This challenge is due to the complexity of the landscape and the enormous computer time needed for converging simulations. The use of various simplified coarse grained (CG) models offers an effective way of sampling the landscape, but most current models are not expected to give a reliable description of protein stability and functional aspects. The main problem is associated with insufficient focus on the electrostatic features of the model. In this respect our recent CG model offers significant advantage as it has been refined while focusing on its electrostatic free energy. Here we review the current state of our model, describing recent refinement, extensions and validation studies while focusing on demonstrating key applications. These include studies of protein stability, extending the model to include membranes and electrolytes and electrodes as well as studies of voltage activated proteins, protein insertion trough the translocon, the action of molecular motors and even the coupling of the stalled ribosome and the translocon. Our example illustrates the general potential of our approach in overcoming major challenges in studies of structure function correlation in proteins and large macromolecular complexes. äCoarse Grained Model for Biological Simulations: Recent Refinements an(epmc).pdf DeepDyve Pubget Overpricing