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PROFcon: novel prediction of long-range contacts
Author(s) -
Marco Punta,
Burkhard Rost
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti454
Subject(s) - protein structure prediction , protein secondary structure , protein structure , computer science , contrast (vision) , sequence (biology) , range (aeronautics) , artificial intelligence , biological system , pattern recognition (psychology) , biology , materials science , genetics , biochemistry , composite material
Despite the continuing advance in the experimental determination of protein structures, the gap between the number of known protein sequences and structures continues to increase. Prediction methods can bridge this sequence-structure gap only partially. Better predictions of non-local contacts between residues could improve comparative modeling, fold recognition and could assist in the experimental structure determination.

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