Role of a reaction coordinate in free energy calculations

2018 ◽  
Vol 44 (13-14) ◽  
pp. 1033-1043 ◽  
Author(s):  
Styliani Consta ◽  
Anatoly Malevanets ◽  
Myong In Oh ◽  
Mahmoud Sharawy

2012 ◽  
Vol 9 (1) ◽  
pp. 46-53 ◽  
Author(s):  
Kathleen E. Rogers ◽  
Juan Manuel Ortiz-Sánchez ◽  
Riccardo Baron ◽  
Mikolai Fajer ◽  
César Augusto F. de Oliveira ◽  
...  


2009 ◽  
Vol 96 (3) ◽  
pp. 573a
Author(s):  
Edina Rosta ◽  
H. Lee Woodcock ◽  
Bernard R. Brooks ◽  
Gerhard Hummer




2009 ◽  
Vol 30 (11) ◽  
pp. 1634-1641 ◽  
Author(s):  
Edina Rosta ◽  
H. Lee Woodcock ◽  
Bernard R. Brooks ◽  
Gerhard Hummer


2020 ◽  
Vol 16 (12) ◽  
pp. 7883-7894
Author(s):  
Ido Y. Ben-Shalom ◽  
Zhixiong Lin ◽  
Brian K. Radak ◽  
Charles Lin ◽  
Woody Sherman ◽  
...  


2004 ◽  
Vol 69 (3) ◽  
pp. 179-186 ◽  
Author(s):  
Nevenka Rajic ◽  
Djordje Stojakovic ◽  
Darko Hanzel ◽  
Venceslav Kaucic

1,3-Diaminopropane (DAP) was used as a structure-directing agent for the hydrothermal synthesis of an organically templated iron phosphate. During crystallization at 180 ?C, iron phosphate (FePO-DAP) with a layered structure was formed after one day. Longer crystallization yielded a mixture of FePO-DAP and leucophosphite, raising the question whether a transformation of FePO-DAP to leucophosphite occurs, or whether DAP decomposes under hydrothermal conditions resulting in leucophosphite formation. Lattice energy and free energy calculations strongly support the supposition that a decomposition of DAP occurs prior to the formation of leucophosphite.





2020 ◽  
Author(s):  
Maximilian Kuhn ◽  
Stuart Firth-Clark ◽  
Paolo Tosco ◽  
Antonia S. J. S. Mey ◽  
Mark Mackey ◽  
...  

Free energy calculations have seen increased usage in structure-based drug design. Despite the rising interest, automation of the complex calculations and subsequent analysis of their results are still hampered by the restricted choice of available tools. In this work, an application for automated setup and processing of free energy calculations is presented. Several sanity checks for assessing the reliability of the calculations were implemented, constituting a distinct advantage over existing open-source tools. The underlying workflow is built on top of the software Sire, SOMD, BioSimSpace and OpenMM and uses the AMBER14SB and GAFF2.1 force fields. It was validated on two datasets originally composed by Schrödinger, consisting of 14 protein structures and 220 ligands. Predicted binding affinities were in good agreement with experimental values. For the larger dataset the average correlation coefficient Rp was 0.70 ± 0.05 and average Kendall’s τ was 0.53 ± 0.05 which is broadly comparable to or better than previously reported results using other methods. <br>



Sign in / Sign up

Export Citation Format

Share Document