TY - JOUR
T1 - Solving protein structures using short-distance cross-linking constraints as a guide for discrete molecular dynamics simulations
AU - Brodie, Nicholas I.
AU - Popov, Konstantin I.
AU - Petrotchenko, Evgeniy V.
AU - Dokholyan, Nikolay V.
AU - Borchers, Christoph H.
N1 - Publisher Copyright:
© Copyright 2017 The Authors, some rights reserved.
PY - 2017/7/5
Y1 - 2017/7/5
N2 - We present an integrated experimental and computational approach for de novo protein structure determination in which short-distance cross-linking data are incorporated into rapid discrete molecular dynamics (DMD) simulations as constraints, reducing the conformational space and achieving the correct protein folding on practical time scales. We tested our approach on myoglobin and FK506 binding protein-models for α helix-rich and β sheet-rich proteins, respectively- and found that the lowest-energy structures obtained were in agreement with the crystal structure, hydrogen-deuterium exchange, surface modification, and long-distance cross-linking validation data. Our approach is readily applicable to other proteins with unknown structures.
AB - We present an integrated experimental and computational approach for de novo protein structure determination in which short-distance cross-linking data are incorporated into rapid discrete molecular dynamics (DMD) simulations as constraints, reducing the conformational space and achieving the correct protein folding on practical time scales. We tested our approach on myoglobin and FK506 binding protein-models for α helix-rich and β sheet-rich proteins, respectively- and found that the lowest-energy structures obtained were in agreement with the crystal structure, hydrogen-deuterium exchange, surface modification, and long-distance cross-linking validation data. Our approach is readily applicable to other proteins with unknown structures.
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U2 - 10.1126/sciadv.1700479
DO - 10.1126/sciadv.1700479
M3 - Article
C2 - 28695211
AN - SCOPUS:85042446079
SN - 2375-2548
VL - 3
JO - Science Advances
JF - Science Advances
IS - 7
M1 - e1700479
ER -