| Hauptseite > Publikationsdatenbank > Binding Modes of Thioflavin T and Congo Red to the Fibril Structure of Amyloid-β(1–42) > print |
| 001 | 877446 | ||
| 005 | 20210130005038.0 | ||
| 024 | 7 | _ | |a 10.1039/D0CC01161D |2 doi |
| 024 | 7 | _ | |a 0009-241X |2 ISSN |
| 024 | 7 | _ | |a 0022-4936 |2 ISSN |
| 024 | 7 | _ | |a 1359-7345 |2 ISSN |
| 024 | 7 | _ | |a 1364-548X |2 ISSN |
| 024 | 7 | _ | |a 2050-5620 |2 ISSN |
| 024 | 7 | _ | |a 2050-5639 |2 ISSN |
| 024 | 7 | _ | |a 2128/25277 |2 Handle |
| 024 | 7 | _ | |a altmetric:83934706 |2 altmetric |
| 024 | 7 | _ | |a pmid:32510059 |2 pmid |
| 024 | 7 | _ | |a WOS:000547631500008 |2 WOS |
| 037 | _ | _ | |a FZJ-2020-02199 |
| 082 | _ | _ | |a 540 |
| 100 | 1 | _ | |a Frieg, Benedikt |0 P:(DE-Juel1)180941 |b 0 |u fzj |
| 245 | _ | _ | |a Binding Modes of Thioflavin T and Congo Red to the Fibril Structure of Amyloid-β(1–42) |
| 260 | _ | _ | |a Cambridge |c 2020 |b Soc. |
| 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 1594790068_32533 |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 Binding modes for the amyloid-β(1–42) fibril fluorescent dyes thioflavin T and Congo red were predicted by molecular dynamics simulations and binding free energy calculations. Both probes bind on the fibril surface to primarily hydrophobic grooves, with their long axis oriented almost parallel to the fibril axis. The computed binding affinities are in agreement with experimental values. The binding modes also explain observables from previous structural studies and, thus, provide a starting point for the systematic search and design of novel molecules, which may improve in vitro diagnostics for Alzheimer's disease. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 536 | _ | _ | |a 553 - Physical Basis of Diseases (POF3-553) |0 G:(DE-HGF)POF3-553 |c POF3-553 |f POF III |x 1 |
| 536 | _ | _ | |a Forschergruppe Gohlke (hkf7_20170501) |0 G:(DE-Juel1)hkf7_20170501 |c hkf7_20170501 |f Forschergruppe Gohlke |x 2 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Gremer, Lothar |0 P:(DE-Juel1)145165 |b 1 |u fzj |
| 700 | 1 | _ | |a Heise, Henrike |0 P:(DE-Juel1)132002 |b 2 |u fzj |
| 700 | 1 | _ | |a Willbold, Dieter |0 P:(DE-Juel1)132029 |b 3 |u fzj |
| 700 | 1 | _ | |a Gohlke, Holger |0 P:(DE-Juel1)172663 |b 4 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1039/D0CC01161D |g p. 10.1039.D0CC01161D |0 PERI:(DE-600)1472881-3 |p 7589-7592 |t Chemical communications |v 56 |y 2020 |x 1364-548X |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/877446/files/d0cc01161d.pdf |
| 856 | 4 | _ | |y Published on 2020-06-01. Available in OpenAccess from 2021-06-01. |z Template |u https://juser.fz-juelich.de/record/877446/files/Tracer_binding_Chemical_Communications_final2.pdf |
| 856 | 4 | _ | |y Published on 2020-06-01. Available in OpenAccess from 2021-06-01. |x pdfa |z Template |u https://juser.fz-juelich.de/record/877446/files/Tracer_binding_Chemical_Communications_final2.pdf?subformat=pdfa |
| 856 | 4 | _ | |x pdfa |u https://juser.fz-juelich.de/record/877446/files/d0cc01161d.pdf?subformat=pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:877446 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)180941 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)145165 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)132002 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)132029 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)172663 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l BioSoft – Fundamentals for future Technologies in the fields of Soft Matter and Life Sciences |1 G:(DE-HGF)POF3-550 |0 G:(DE-HGF)POF3-553 |2 G:(DE-HGF)POF3-500 |v Physical Basis of Diseases |x 1 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2020-01-05 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2020-01-05 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2020-01-05 |
| 915 | _ | _ | |a Embargoed OpenAccess |0 StatID:(DE-HGF)0530 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1200 |2 StatID |b Chemical Reactions |d 2020-01-05 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2020-01-05 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2020-01-05 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |d 2020-01-05 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |d 2020-01-05 |
| 915 | _ | _ | |a Allianz-Lizenz / DFG |0 StatID:(DE-HGF)0400 |2 StatID |d 2020-01-05 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1210 |2 StatID |b Index Chemicus |d 2020-01-05 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2020-01-05 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |d 2020-01-05 |
| 915 | _ | _ | |a National-Konsortium |0 StatID:(DE-HGF)0430 |2 StatID |d 2020-01-05 |w ger |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CHEM COMMUN : 2018 |d 2020-01-05 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2020-01-05 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b CHEM COMMUN : 2018 |d 2020-01-05 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2020-01-05 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2020-01-05 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)NIC-20090406 |k NIC |l John von Neumann - Institut für Computing |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 1 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBI-7-20200312 |k IBI-7 |l Strukturbiochemie |x 2 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)NIC-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)IBI-7-20200312 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|