TY - CHAP
T1 - Secondary structure prediction
AU - Reeb, Jonas
AU - Rost, Burkhard
N1 - Publisher Copyright:
© 2019 Elsevier Inc. All rights reserved.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Information about the structure and function of a protein are encoded in its amino acid sequence. Continued progress in sequencing increasingly explodes the number of proteins for which the sequences are known but little other knowledge exists. After database searches through alignments, protein secondary structure predictions might be the most fundamental second step in finding out anything about those sequences. Secondary structure predictions can help in expert annotations and are used as input for many automated annotation tools. Today’s top prediction methods reach high levels of performance at relatively little computational costs.
AB - Information about the structure and function of a protein are encoded in its amino acid sequence. Continued progress in sequencing increasingly explodes the number of proteins for which the sequences are known but little other knowledge exists. After database searches through alignments, protein secondary structure predictions might be the most fundamental second step in finding out anything about those sequences. Secondary structure predictions can help in expert annotations and are used as input for many automated annotation tools. Today’s top prediction methods reach high levels of performance at relatively little computational costs.
KW - Alpha-helix prediction
KW - Artificial neural networks
KW - Beta-sheet prediction
KW - Machine learning
KW - Protein structure prediction
KW - Secondary structure prediction
KW - Sequence-based prediction
UR - http://www.scopus.com/inward/record.url?scp=85079755205&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-809633-8.20267-7
DO - 10.1016/B978-0-12-809633-8.20267-7
M3 - Chapter
AN - SCOPUS:85079755205
SN - 9780128114148
VL - 1-3
SP - 488
EP - 496
BT - Encyclopedia of Bioinformatics and Computational Biology
PB - Elsevier
ER -