001     280472
005     20240625095125.0
024 7 _ |a 10.1016/j.jinorgbio.2015.10.001
|2 doi
024 7 _ |a 0162-0134
|2 ISSN
024 7 _ |a 1873-3344
|2 ISSN
024 7 _ |a WOS:000367563200026
|2 WOS
037 _ _ |a FZJ-2016-00246
082 _ _ |a 540
100 1 _ |a Calandrini, Vania
|0 P:(DE-Juel1)166168
|b 0
|u fzj
245 _ _ |a Computational metallomics of the anticancer drug cisplatin
260 _ _ |a New York, NY [u.a.]
|c 2015
|b Elsevier
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1452514124_900
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
520 _ _ |a Cisplatin, cis-diamminedichlorido-platinum(II), is an important therapeutic tool in the struggle against different tumors, yet it is plagued with the emergence of resistance mechanisms after repeated administrations. This hampers greatly its efficacy. Overcoming resistance problems requires first and foremost an integrated and systematic understanding of the structural determinants and molecular recognition processes involving the drug and its cellular targets. Here we review a strategy that we have followed for the last few years, based on the combination of modern tools from computational chemistry with experimental biophysical methods. Using hybrid Quantum Mechanics/Molecular Mechanics (QM/MM) simulations, validated by spectroscopic experiments (including NMR, and CD), we have worked out for the first time at atomic level the structural determinants in solution of platinated cellular substrates. These include the copper homeostasis proteins Ctr1, Atox1, and ATP7A. All of these proteins have been suggested to influence the pre-target resistance mechanisms. Furthermore, coupling hybrid QM/MM simulations with classical Molecular Dynamics (MD) and free energy calculations, based on force field parameters refined by the so-called “Force Matching” procedure, we have characterized the structural modifications and the free energy landscape associated with the recognition between platinated DNA and the protein HMGB1, belonging to the chromosomal high-mobility group proteins HMGB that inhibit the repair of platinated DNA. This may alleviate issues relative to on-target resistance process. The elucidation of the mechanisms by which tumors are sensitive or refractory to cisplatin may lead to the discovery of prognostic biomarkers. The approach reviewed here could be straightforwardly extended to other metal-based drugs.
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 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 1
536 _ _ |a 574 - Theory, modelling and simulation (POF3-574)
|0 G:(DE-HGF)POF3-574
|c POF3-574
|f POF III
|x 2
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Rossetti, Giulia
|0 P:(DE-Juel1)145921
|b 1
|e Corresponding author
700 1 _ |a Arnesano, Fabio
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Natile, Giovanni
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Carloni, Paolo
|0 P:(DE-Juel1)145614
|b 4
|u fzj
773 _ _ |a 10.1016/j.jinorgbio.2015.10.001
|g Vol. 153, p. 231 - 238
|0 PERI:(DE-600)1491314-8
|p 231 - 238
|t Journal of inorganic biochemistry
|v 153
|y 2015
|x 0162-0134
856 4 _ |u https://juser.fz-juelich.de/record/280472/files/1-s2.0-S016201341530091X-main.pdf
|y Restricted
856 4 _ |x icon
|u https://juser.fz-juelich.de/record/280472/files/1-s2.0-S016201341530091X-main.gif?subformat=icon
|y Restricted
856 4 _ |x icon-1440
|u https://juser.fz-juelich.de/record/280472/files/1-s2.0-S016201341530091X-main.jpg?subformat=icon-1440
|y Restricted
856 4 _ |x icon-180
|u https://juser.fz-juelich.de/record/280472/files/1-s2.0-S016201341530091X-main.jpg?subformat=icon-180
|y Restricted
856 4 _ |x icon-640
|u https://juser.fz-juelich.de/record/280472/files/1-s2.0-S016201341530091X-main.jpg?subformat=icon-640
|y Restricted
856 4 _ |x pdfa
|u https://juser.fz-juelich.de/record/280472/files/1-s2.0-S016201341530091X-main.pdf?subformat=pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:280472
|p VDB
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)145921
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)145921
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)145614
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 Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|2 G:(DE-HGF)POF3-500
|v (Dys-)function and Plasticity
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-574
|2 G:(DE-HGF)POF3-500
|v Theory, modelling and simulation
|x 2
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J INORG BIOCHEM : 2014
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a No Authors Fulltext
|0 StatID:(DE-HGF)0550
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-5-20120330
|k IAS-5
|l Computational Biomedicine
|x 0
920 1 _ |0 I:(DE-Juel1)INM-9-20140121
|k INM-9
|l Computational Biomedicine
|x 1
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 _ _ |a I:(DE-Juel1)JSC-20090406
981 _ _ |a I:(DE-Juel1)INM-9-20140121
981 _ _ |a I:(DE-Juel1)JSC-20090406


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21