Evidence map›Paper›PMID 25433599›Full record

ArticleJournal of molecular modeling2014

Dynamic characterization and substrate binding of cis-2,3-dihydrobiphenyl-2,3-diol dehydrogenase-an enzyme used in bioremediation.

Stefano Piccoli, Francesco Musiani, Alejandro Giorgetti

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2014. 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
0.3field-weighted citation impact, top 41% 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, 7 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 1 country.

Stefano PiccoliDepartment of Biotechnology, University of Verona, Ca' Vignal 1, Strada le Grazie 15, 37134, Verona, Italy.
Francesco Musiani
Alejandro Giorgetti
University of Verona · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, techniques involving the use of organisms to remove or neutralize pollutants from contaminated sites have attracted great attention. The aim of bioremediation is to use naturally occurring organisms to degrade dangerous substances to less toxic or non toxic molecules. The gram-negative bacterium Pandoraea pnomenusa strain B-356 (Pp) has been found to be able to transform a persistent class of organic pollutant compounds, namely the biphenyl and polychlorinated biphenyls (PCBs). A key enzyme in the PCB catabolic pathway is NAD-dependent cis-2,3-dihydrobiphenyl-2,3-diol dehydrogenase (BphB), for which the crystal structure from Pp has been crystallized in apo-, NAD-bound and biphenyldiol-/NAD-bound forms. The substrate binding loop structure has not been completely resolved to date in the former two bound states. Here we report the results of the first extensive molecular dynamics simulations on the three different states of PpBphB. This allowed an in depth characterization of the mechanism of ligand uptake and binding, including unraveling of the gating mechanism. Our simulations give a deep insight into several dynamic features of the enzyme that were not captured by crystal structures.

Indexed as

Biodegradation, EnvironmentalMolecular Dynamics SimulationBacterial ProteinsBinding SitesBiphenyl CompoundsCrystallizationCrystallography, X-RayGram-Negative BacteriaKineticsLigandsMolecular StructureOxidoreductasesPolychlorinated BiphenylsProtein BindingProtein ConformationStructure-Activity RelationshipBacterial ProteinsbiphenylBiphenyl CompoundsLigandsOxidoreductasesPolychlorinated Biphenyls

Identifiers

PMID25433599
OpenAlexW2028688292

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.