scholarly journals Empirical Aqueous Solvation Model for Protein Based on Accessible Surface Areas

2003 ◽  
Vol 19 (08) ◽  
pp. 723-726
Author(s):  
Hou Ting-Jun ◽  
◽  
Zhang Wei ◽  
Huang Qin ◽  
Qiao Xue-Bin ◽  
...  
2002 ◽  
Vol 106 (43) ◽  
pp. 11295-11304 ◽  
Author(s):  
Tingjun Hou ◽  
Xuebin Qiao ◽  
Wei Zhang ◽  
Xiaojie Xu

1998 ◽  
Vol 3 (4) ◽  
pp. 253-258 ◽  
Author(s):  
Arthur G. Street ◽  
Stephen L. Mayo

2018 ◽  
Author(s):  
Jimmy C. Kromann ◽  
Casper Steinmann ◽  
Jan Halborg Jensen

The PM6 implementation in the GAMESS program is extended to elements requiring d-integrals and interfaced with the conducter-like polarized continuum model (C-PCM) of solvation, in- cluding gradients. The accuracy of aqueous solvation energies computed using AM1, PM3, PM6, and DFTB and the SMD continuum solvation model is tested using the MNSOL data set. The errors in SMD solvation energies predicted using NDDO-based methods is considerably larger than when using DFT and HF, with RMSE values of 3.4-5.9 (neutrals) and 6-15 kcal/mol (ions) compared to 2.4 and ca 5 kcal/mol for HF/6-31G(d). For the NDDO-based methods the errors are especially large for cations and considerably higher than the corresponding COSMO results, which suggests that the NDDO/SMD results can be improved by re-parameterizing the SMD parameters focusing on ions. We found the best results are obtained by changing only the radii for hydrogen, carbon, oxygen, nitrogen, and sulfur and this leads to RMSE values for PM3 (neutrals: 2.8/ions: ca 5 kcal/mol), PM6 (4.7/ca 5 kcal/mol), and DFTB (3.9/ca 5 kcal/mol) that are more comparable to HF/6-31G(d) (2.4/ca 5 kcal/mol). Though the radii are optimized to reproduce aqueous solvation energies, they also lead more accurate predictions for other polar solvents such as DMSO, acetonitrile, and methanol, while the improvements for non-polar solvents are negligible.


2019 ◽  
Vol 35 (18) ◽  
pp. 3499-3501 ◽  
Author(s):  
Judemir Ribeiro ◽  
Carlos Ríos-Vera ◽  
Francisco Melo ◽  
Andreas Schüller

Abstract Summary Intra- and intermolecular contact surfaces are routinely calculated for a large array of applications in bioinformatics but are typically approximated from differential solvent accessible surface area calculations and not calculated directly. These approximations do not properly take the effects of neighboring atoms into account and tend to deviate considerably from the true contact surface. We implemented an extension of the original Shrake-Rupley algorithm to accurately estimate interatomic contact surface areas of molecular structures and complexes. Our extended algorithm is able to calculate the contact area of an atom to all nearby atoms by directly calculating overlapping surface patches, taking into account the possible shielding effects of neighboring atoms. Here, we present a versatile software tool and web server for the calculation of contact surface areas, as well as buried surface areas and solvent accessible surface areas (SASA) for different types of biomolecules, such as proteins, nucleic acids and small organic molecules. Detailed results are provided in tab-separated values format for analysis and Protein Databank files for visualization. Direct contact surface area calculation resulted in improved accuracy in a benchmark with a non-redundant set of 245 protein–DNA complexes. SASA-based approximations underestimated protein–DNA contact surfaces on average by 40%. This software tool may be useful for surface-based intra- and intermolecular interaction analyses and scoring function development. Availability and implementation A web server, stand-alone binaries for Linux, MacOS and Windows and C++ source code are freely available from http://schuellerlab.org/dr_sasa/. Supplementary information Supplementary data are available at Bioinformatics online.


1988 ◽  
Vol 1 (2) ◽  
pp. 103-116 ◽  
Author(s):  
Winnfried Hasel ◽  
Thomas F. Hendrickson ◽  
W.Clark Still

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