Journal Article

FZJ-2018-00909

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Biomolecular coevolution and its applications: Going from structure prediction toward signaling, epistasis, and function

Zerihun, M. B. ; Schug, A. (Corresponding author)FZJ*

2017
Portland Press London

This record in other databases:      

Please use a persistent id in citations: doi:10.1042/BST20170063

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.

---

Contributing Institute(s):

1. John von Neumann - Institut für Computing (NIC)
2. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2017

---

Database coverage:
; BIOSIS Previews ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

---