Biophysical constraints for protein structure prediction.

Olga Tcherkasskaya; Eugene A Davidson; Vladimir N Uversky

doi:10.1021/pr025552q

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Biophysical constraints for protein structure prediction.

Olga Tcherkasskaya·Eugene A Davidson·Vladimir N Uversky

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Abstract

Though highly desirable, neither a single experimental technique nor a computational approach can be sufficient enough to rationalize a protein structure. The incorporation of biophysical constraints, which can be rationalized based on conventional biophysical measurements, might lead to considerable improvement of the simulation procedures. In this regard, our analysis of 180 proteins in different conformational states allows prediction of the overall protein dimension based on the chain length, i.e., the protein molecular weight, with an accuracy of 10%.

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Algorithms Animals Biophysics Databases as Topic Humans Models, Statistical Peptides Protein Conformation Protein Folding Proteins Proteome Reproducibility of Results Software Thermodynamics Journal Article

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Olga Tcherkasskaya, Eugene A Davidson, Vladimir N Uversky. Biophysical constraints for protein structure prediction.. https://doi.org/10.1021/pr025552q

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