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@ARTICLE{Schrder:202942,
author = {Schröder, Gunnar},
title = {{H}ybrid methods for macromolecular structure
determination: experiment with expectations},
journal = {Current opinion in structural biology},
volume = {31},
issn = {0959-440X},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2015-05065},
pages = {20 - 27},
year = {2015},
abstract = {Studies of large and heterogeneous macromolecules often
yield low-resolution data that alone does not suffice to
build accurate atomic models. Adding information from
molecular simulation or other structure prediction methods
can lead to models with significantly better quality.
Different strategies are discussed to combine experimental
data with results from simulation and prediction. This
review describes recent approaches for building atomic
models with a focus on X-ray diffraction and single-particle
cryo-electron microscopy (cryo-EM) data. In addition, both
cryo-EM and X-ray diffraction provide information on
molecular dynamics. Therefore, the best description of
molecular structures is often by an ensemble of models. It
furthermore becomes apparent that using raw data for the
modeling ensures that all information obtained by the
experiment can be fully exploited. It is also important to
quantify the errors of both experiment and simulation to
correctly weigh their different contributions.},
cin = {ICS-6},
ddc = {570},
cid = {I:(DE-Juel1)ICS-6-20110106},
pnm = {551 - Functional Macromolecules and Complexes (POF3-551)},
pid = {G:(DE-HGF)POF3-551},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000357706000005},
pubmed = {pmid:25795086},
doi = {10.1016/j.sbi.2015.02.016},
url = {https://juser.fz-juelich.de/record/202942},
}