Learning effective amino acid interactions through iterative stochastic techniques

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چکیده

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Learning effective amino acid interactions through iterative stochastic techniques.

The prediction of the three-dimensional structures of the native states of proteins from the sequences of their amino acids is one of the most important challenges in molecular biology. An essential task for solving this problem within coarse-grained models is the deduction of effective interaction potentials between the amino acids. Over the years, several techniques have been developed to ext...

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ژورنال

عنوان ژورنال: Proteins: Structure, Function, and Genetics

سال: 2001

ISSN: 0887-3585,1097-0134

DOI: 10.1002/1097-0134(20010215)42:3<422::aid-prot120>3.0.co;2-2