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@ARTICLE{Pothula:904328,
author = {Pothula, Karunakar R. and Geraets, James A. and Ferber,
Inda I. and Schröder, Gunnar F.},
title = {{C}lustering polymorphs of tau and {IAPP} fibrils with the
{CHEP} algorithm},
journal = {Progress in biophysics $\&$ molecular biology},
volume = {160},
issn = {0079-6107},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2021-05898},
pages = {16 - 25},
year = {2021},
abstract = {Recent steps towards automation have improved the quality
and efficiency of the entire cryo-electron microscopy
workflow, from sample preparation to image processing. Most
of the image processing steps are now quite automated, but
there are still a few steps which need the specific
intervention of researchers. One such step is the
identification and separation of helical protein polymorphs
at early stages of image processing. Here, we tested and
evaluated our recent clustering approach on three datasets
containing amyloid fibrils, demonstrating that the proposed
unsupervised clustering method automatically and effectively
identifies the polymorphs from cryo-EM images. As an
automated polymorph separation method, it has the potential
to complement automated helical picking, which typically
cannot easily distinguish between polymorphs with subtle
differences in morphology, and is therefore a useful tool
for the image processing and structure determination of
helical proteins.},
cin = {IBI-7},
ddc = {570},
cid = {I:(DE-Juel1)IBI-7-20200312},
pnm = {5244 - Information Processing in Neuronal Networks
(POF4-524)},
pid = {G:(DE-HGF)POF4-5244},
typ = {PUB:(DE-HGF)16},
pubmed = {33556421},
UT = {WOS:000632013800004},
doi = {10.1016/j.pbiomolbio.2020.11.007},
url = {https://juser.fz-juelich.de/record/904328},
}