Home > Publications database > Effects of ion type and concentration on the structure and aggregation of the amyloid peptide A β16−22$$ {\boldsymbol{\beta}}_{16-22} $$ > print |
001 | 1019568 | ||
005 | 20250804115220.0 | ||
024 | 7 | _ | |a 10.1002/prot.26635 |2 doi |
024 | 7 | _ | |a 0887-3585 |2 ISSN |
024 | 7 | _ | |a 1097-0134 |2 ISSN |
024 | 7 | _ | |a 10.34734/FZJ-2023-05505 |2 datacite_doi |
024 | 7 | _ | |a 37964477 |2 pmid |
024 | 7 | _ | |a WOS:001105186900001 |2 WOS |
037 | _ | _ | |a FZJ-2023-05505 |
082 | _ | _ | |a 570 |
100 | 1 | _ | |a Smorodina, Eva |0 P:(DE-HGF)0 |b 0 |
245 | _ | _ | |a Effects of ion type and concentration on the structure and aggregation of the amyloid peptide A β16−22$$ {\boldsymbol{\beta}}_{16-22} $$ |
260 | _ | _ | |a New York, NY |c 2025 |b Wiley-Liss |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1753686983_21155 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Among the various factors controlling the amyloid aggregation process, the influences ofions on the aggregation rate and the resultingstructures are important aspects to con-sider, which can be studied by molecular simulations. There is a wide variety of proteinforce fields and ion models, raising the question of which model to use in such studies. Toaddress this question, we perform molecular dynamics simulations of Aβ16–22, a fragmentof the Alzheimer's amyloidβpeptide, using different protein force fields, AMBER99SB-disp (A99-d) and CHARMM36m (C36m), and different ion parameters. The influences ofNaCl and CaCl2at various concentrations are studied and compared with the systemswithout the addition of ions. Our results indicate a sensitivity of the peptide-ion interac-tions to the different ion models. In particular, we observe a strong binding of Ca2+to res-idue E22 with C36m and also with the Åqvist ion model used together with A99-d, whichslightly affects the monomeric Aβ16–22structures and the aggregation rate, but signifi-cantly affects the oligomer structures formedin the aggregation simulations. For example,at high Ca2+concentrations, there was a switch from an antiparallel to a parallelβ-sheet.Such ionic influences are of biological relevance because local ion concentrations canchange in vivo and could help explain thepolymorphism of amyloid fibrils. |
536 | _ | _ | |a 5241 - Molecular Information Processing in Cellular Systems (POF4-524) |0 G:(DE-HGF)POF4-5241 |c POF4-524 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Kav, Batuhan |0 P:(DE-Juel1)178946 |b 1 |
700 | 1 | _ | |a Fatafta, Hebah |0 P:(DE-Juel1)176262 |b 2 |u fzj |
700 | 1 | _ | |a Strodel, Birgit |0 P:(DE-Juel1)132024 |b 3 |e Corresponding author |
773 | _ | _ | |a 10.1002/prot.26635 |g p. prot.26635 |0 PERI:(DE-600)1475032-6 |n 8 |p 1369-1382 |t Proteins |v 93 |y 2025 |x 0887-3585 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1019568/files/Proteins%20-%202023%20-%20Smorodina%20-%20Effects%20of%20ion%20type%20and%20concentration%20on%20the%20structure%20and%20aggregation%20of%20the%20amyloid%20peptide.pdf |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:1019568 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)176262 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)132024 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-524 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Molecular and Cellular Information Processing |9 G:(DE-HGF)POF4-5241 |x 0 |
914 | 1 | _ | |y 2025 |
915 | p | c | |a APC keys set |0 PC:(DE-HGF)0000 |2 APC |
915 | p | c | |a DEAL: Wiley 2019 |0 PC:(DE-HGF)0120 |2 APC |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2023-08-19 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b PROTEINS : 2022 |d 2023-08-19 |
915 | _ | _ | |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0 |0 LIC:(DE-HGF)CCBYNC4 |2 HGFVOC |
915 | _ | _ | |a DEAL Wiley |0 StatID:(DE-HGF)3001 |2 StatID |d 2023-08-19 |w ger |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-19 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-08-19 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-19 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2023-08-19 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-19 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)IBI-7-20200312 |k IBI-7 |l Strukturbiochemie |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)IBI-7-20200312 |
980 | _ | _ | |a APC |
980 | 1 | _ | |a APC |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|