Evidence map›Paper›PMID 21861154›Full record

ArticleJournal of computer-aided molecular design2011

Substrate binding to mammalian 15-lipoxygenase.

Lea Toledo, Laura Masgrau, José M Lluch, Àngels González-Lafont

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In one paragraph

Article in Journal of computer-aided molecular design, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Lea ToledoDepartament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain.
Laura Masgrau
José M Lluch
Àngels González-Lafont
Universitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipoxygenases (LOs) are implicated in the regulation of metabolic processes and in several human diseases. Revealing their exact role is hindered by an incomplete understanding of their activity, including substrate specificity and substrate alignment in the active site. Recently, it has been proposed that the change in substrate specificity for arachidonic acid (AA) or linoleic acid (LA) could be part of an auto-regulatory mechanism related to cancer grow. Kinetic differences between reactions of 15-hLO with AA and LA have also led to the suggestion that the two substrates could present mechanistic differences. In the absence of a crystal structure for the substrate:15-LO complex, here we present an atomic-level study of catalytically competent binding modes for LA to rabbit 15-LO (15-rLO-1) and compare the results to our previous work on AA. Docking calculations, molecular dynamics simulations, re-docking and cross-docking calculations are all used to analyze the differences and similarities between the binding modes of the two substrates. Interestingly, LA seems to adapt more easily to the enzyme structure and differs from AA on some dynamical aspects that could introduce kinetic differences, as observed experimentally. Still, our study concludes that, despite the different chain lengths and number of insaturations between these two physiological substrates of 15-rLO-1, the enzyme seems to catalyze their hydroperoxidation by binding them with a common binding mode that leads to similar catalytically competent complexes.

Indexed as

AnimalsArachidonate 15-LipoxygenaseArachidonic AcidHumansLinoleic AcidMolecular Dynamics SimulationProtein BindingProtein Structure, SecondaryRabbitsSubstrate SpecificityArachidonate 15-LipoxygenaseArachidonic AcidLinoleic Acid

Identifiers

PMID21861154
OpenAlexW1980519642

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.