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@ARTICLE{Zerihun:842702,
author = {Zerihun, Mehari B. and Schug, Alexander},
title = {{B}iomolecular coevolution and its applications: {G}oing
from structure prediction toward signaling, epistasis, and
function},
journal = {Biochemical Society transactions},
volume = {45},
number = {6},
issn = {1470-8752},
address = {London},
publisher = {Portland Press},
reportid = {FZJ-2018-00909},
pages = {1253 - 1261},
year = {2017},
abstract = {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.},
cin = {NIC / JSC},
ddc = {540},
cid = {I:(DE-Juel1)NIC-20090406 / I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000418440200005},
pubmed = {pmid:29054926},
doi = {10.1042/BST20170063},
url = {https://juser.fz-juelich.de/record/842702},
}