Open AccessSequence alignment using machine learning for accurate template-based protein structure prediction
Author(s) -
Shuichiro Makigaki,
Takashi Ishida
Publication year - 2019
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/btz483
Subject(s) - computer science , pairwise comparison , template , sequence alignment , artificial intelligence , homology modeling , sequence (biology) , structural alignment , multiple sequence alignment , data mining , process (computing) , protein superfamily , machine learning , pattern recognition (psychology) , algorithm , peptide sequence , biology , biochemistry , enzyme , genetics , gene , programming language , operating system
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom