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Assessment of chemical-crosslink-assisted protein structure modeling in CASP13.

Authors :
Fajardo JE
Shrestha R
Gil N
Belsom A
Crivelli SN
Czaplewski C
Fidelis K
Grudinin S
Karasikov M
Karczyńska AS
Kryshtafovych A
Leitner A
Liwo A
Lubecka EA
Monastyrskyy B
Pagès G
Rappsilber J
Sieradzan AK
Sikorska C
Trabjerg E
Fiser A
Source :
Proteins [Proteins] 2019 Dec; Vol. 87 (12), pp. 1283-1297. Date of Electronic Publication: 2019 Oct 07.
Publication Year :
2019

Abstract

With the advance of experimental procedures obtaining chemical crosslinking information is becoming a fast and routine practice. Information on crosslinks can greatly enhance the accuracy of protein structure modeling. Here, we review the current state of the art in modeling protein structures with the assistance of experimentally determined chemical crosslinks within the framework of the 13th meeting of Critical Assessment of Structure Prediction approaches. This largest-to-date blind assessment reveals benefits of using data assistance in difficult to model protein structure prediction cases. However, in a broader context, it also suggests that with the unprecedented advance in accuracy to predict contacts in recent years, experimental crosslinks will be useful only if their specificity and accuracy further improved and they are better integrated into computational workflows.<br /> (© 2019 Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1097-0134
Volume :
87
Issue :
12
Database :
MEDLINE
Journal :
Proteins
Publication Type :
Academic Journal
Accession number :
31569265
Full Text :
https://doi.org/10.1002/prot.25816