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@ARTICLE{Zimmermann:62830,
author = {Zimmermann, O. and Hansmann, U. H. E.},
title = {{U}nderstanding protein folding: {S}mall proteins in
silico},
journal = {Biochimica et biophysica acta / Proteins and proteomics},
volume = {1784},
issn = {1570-9639},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {PreJuSER-62830},
pages = {252 - 258},
year = {2008},
note = {Record converted from VDB: 12.11.2012},
abstract = {Recent improvements in methodology and increased computer
power now allow atomistic computer simulations of protein
folding. We briefly review several advanced Monte Carlo
algorithms that have contributed to this development.
Details of folding simulations of three designed mini
proteins are shown. Adding global translations and rotations
has allowed us to handle multiple chains and to simulate the
aggregation of six beta-amyloid fragments. In a different
line of research we have developed several algorithms to
predict local features from sequence. In an outlook we
sketch how such biasing could extend the application
spectrum of Monte Carlo simulations to structure prediction
of larger proteins.},
keywords = {Algorithms / Computational Biology: methods / Computer
Simulation / Models, Molecular / Monte Carlo Method /
Protein Conformation / Protein Folding / Proteins: chemistry
/ Proteins (NLM Chemicals) / J (WoSType)},
cin = {NIC},
ddc = {570},
cid = {I:(DE-Juel1)NIC-20090406},
pnm = {Scientific Computing},
pid = {G:(DE-Juel1)FUEK411},
shelfmark = {Biochemistry $\&$ Molecular Biology / Biophysics},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:18036571},
pmc = {pmc:PMC2244683},
UT = {WOS:000253013200025},
doi = {10.1016/j.bbapap.2007.10.010},
url = {https://juser.fz-juelich.de/record/62830},
}