Evidence map›Paper›PMID 29423565›Full record

ArticleJournal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry2018

Formation of chelate structure between His-Met dipeptide and diaqua-cisplatin complex; DFT/PCM computational study.

Michal Maixner, Helio F Dos Santos, Jaroslav V Burda

Abstract read
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In one paragraph

Article in Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Michal MaixnerDepartment of Chemical Physics and Optics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, 121 16, Prague 2, Czech Republic.
Helio F Dos SantosNEQC: Núcleo de Estudos em Química Computacional, Departamento de Química-ICE, Universidade Federal e Juiz de Fora, Juiz de Fora, MG, 36036-330, Brazil.
Jaroslav V BurdaDepartment of Chemical Physics and Optics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, 121 16, Prague 2, Czech Republic. burda@karlov.mff.cuni.cz.
Charles University · CZUniversidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interaction of cisplatin in activated diaqua-form with His-Met dipeptide is explored using DFT approach with PCM model. First the conformation space of the dipeptide is explored to find the most stable structure (labeled 0683). Several functionals with double-zeta basis set are used for optimization and obtained order of conformers is confirmed by the CCSD(T) single-point calculations. Supermolecular model is used to determine reaction coordinate for the replacement of aqua ligands consequently by N-site of histidine and S-site of methionine and reversely. Despite the monoadduct of Pt-S(Met) is thermodynamically less stable this reaction passes substantially faster (by several orders of magnitude) than coordination of cisplatin to histidine. The consequent chelate formation occurs relatively fast with energy release up to 12 kcal mol

Indexed as

Density Functional TheoryAntineoplastic AgentsChelating AgentsCisplatinDipeptidesHistidineKineticsMethionineThermodynamicsAntineoplastic AgentsChelating AgentsCisplatinDipeptidesHistidineMethionineAnticancer drugComputational chemistryDensity functional theoryHeavy metalThermodynamics

Identifiers

PMID29423565
OpenAlexW2786074587

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.