TY  - JOUR
AU  - Zerihun, Mehari B.
AU  - Schug, Alexander
TI  - Biomolecular coevolution and its applications: Going from structure prediction toward signaling, epistasis, and function
JO  - Biochemical Society transactions
VL  - 45
IS  - 6
SN  - 1470-8752
CY  - London
PB  - Portland Press
M1  - FZJ-2018-00909
SP  - 1253 - 1261
PY  - 2017
AB  - Evolution leads to considerable changes in the sequence of biomolecules, while their overall structure and function remain quite conserved. The wealth of genomic sequences, the ‘Biological Big Data’, modern sequencing techniques provide allows us to investigate biomolecular evolution with unprecedented detail. Sophisticated statistical models can infer residue pair mutations resulting from spatial proximity. The introduction of predicted spatial adjacencies as constraints in biomolecular structure prediction workflows has transformed the field of protein and RNA structure prediction toward accuracies approaching the experimental resolution limit. Going beyond structure prediction, the same mathematical framework allows mimicking evolutionary fitness landscapes to infer signaling interactions, epistasis, or mutational landscapes.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000418440200005
C6  - pmid:29054926
DO  - DOI:10.1042/BST20170063
UR  - https://juser.fz-juelich.de/record/842702
ER  -