Prediction of structural and hydrodynamic parameters of hydrated proteins by computer modeling based on the results from high-resolution techniques
Peter Zipper and
Helmut Durchschlag
Physica A: Statistical Mechanics and its Applications, 2002, vol. 304, issue 1, 283-293
Abstract:
The solution behavior of proteins is governed by their molecular characteristics and the water molecules that bind to the protein surface. Based on the 3D structure of proteins, scattering and hydrodynamic modeling approaches may be applied to simulate both the protein and the water moieties realistically. Computer simulations make use of different types of surface calculation programs, together with algorithms developed to involve hydration contributions. For this purpose, consideration of appropriate hydration values for the individual amino acid residues on the protein surface have to be taken into account. Results may be used to predict structural and hydrodynamic properties of hydrated proteins correctly. The calculation of scattering curves and pair-distance distribution functions may be used advantageously, to differentiate between different models under consideration. In this context, the difference between scattering functions and parameters derived therefrom, which are based on calculations from masses or excess electrons, respectively, has to be addressed explicitly. The enzyme citrate synthase has been used in a case study.
Keywords: Protein hydration; Citrate synthase; 3D structure; Hydrodynamic modeling; Parameter prediction; Small-angle X-ray scattering (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437101005398
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:304:y:2002:i:1:p:283-293
DOI: 10.1016/S0378-4371(01)00539-8
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().