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Perfect temperature for protein structure prediction and folding
Author(s) -
Finkelstein Alexei V.,
Gutin Alexander M.,
Badretdinov Azat Ya.
Publication year - 1995
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.340230205
Subject(s) - protein folding , folding (dsp implementation) , protein structure prediction , noise (video) , melting temperature , statistical physics , computer science , energy (signal processing) , protein structure , physics , artificial intelligence , materials science , engineering , quantum mechanics , nuclear magnetic resonance , composite material , electrical engineering , image (mathematics)
We have investigated the influence of the “noise” of inevitable errors in energetic parameters on‐protein structure prediction. Because of this noise, only a part of all the interactions operating in a protein chain can be taken into account, and therefore a search for the energy minimum becomes inadequate for protein structure prediction. One can rather rely on statistical mechanics: a calculation carried out at a temperature T * somewhat below that of protein melting gives the best possible, though always approximate prediction. The early stages of protein folding also “take into account” only a part of all the interactions; consequently, the same temperature T * is favorable for the self‐organization of native‐like intermediates in protein folding. © 1995 Wiley‐Liss, Inc.