Evidence map›Paper›PMID 26512651›Full record

ArticleInternational journal of molecular sciences2015

Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction.

Anna Torkova, Olga Koroleva, Ekaterina Khrameeva, Tatyana Fedorova, Mikhail Tsentalovich

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
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  6. Review
  7. Black soldier fly (Health science reports · 2024
    Review
  8. Article
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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

5 authors.

Anna TorkovaBach Institute of Biochemistry of the Russian Academy of Sciences, Leninsky Prospekt, 33, bld 2, Moscow 119071, Russian. anna_torkova@mail.ru.
Olga KorolevaBach Institute of Biochemistry of the Russian Academy of Sciences, Leninsky Prospekt, 33, bld 2, Moscow 119071, Russian. koroleva57@gmail.com.
Ekaterina KhrameevaDepartment of Bioengineering and Bioinformatics, Moscow State University, GSP-1, Leninskie Hills, bld 73, Moscow 119234, Russian. khrameeva@genebee.msu.ru.
Tatyana FedorovaBach Institute of Biochemistry of the Russian Academy of Sciences, Leninsky Prospekt, 33, bld 2, Moscow 119071, Russian. fedorova_tv@mail.ru.
Mikhail TsentalovichBach Institute of Biochemistry of the Russian Academy of Sciences, Leninsky Prospekt, 33, bld 2, Moscow 119071, Russian. snowsurfers1@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantum chemical methods allow screening and prediction of peptide antioxidant activity on the basis of known experimental data. It can be used to design the selective proteolysis of protein sources in order to obtain products with antioxidant activity. Molecular geometry and electronic descriptors of redox-active amino acids, as well as tyrosine and methionine-containing dipeptides, were studied by Density Functional Theory method. The calculated data was used to reveal several descriptors responsible for the antioxidant capacities of the model compounds based on their experimentally obtained antioxidant capacities against ABTS (2,2'-Azino-bis-(3-ethyl-benzothiazoline-6-sulfonate)) and peroxyl radical. A formula to predict antioxidant activity of peptides was proposed.

Indexed as

AntioxidantsDipeptidesMethionineQuantitative Structure-Activity RelationshipTyrosineAntioxidantsDipeptidesMethionineTyrosineantioxidant capacityantioxidant descriptorsmethionine dipeptidesquantum-chemical calculationstyrosine dipeptides

Identifiers

PMID26512651
PMCPMC4632805

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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.