Evidence map›Paper›PMID 25437098›Full record

ArticleJournal of molecular graphics & modelling2015

Conformational diversity of bacterial FabH: implications for molecular recognition specificity.

Anuradha Mittal, Michael E Johnson

Abstract read
In one paragraph

Article in Journal of molecular graphics & modelling, 2015. 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
–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

1 citing paper in PubMed.

  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

2 authors.

Anuradha MittalCenter for Pharmaceutical Biotechnology, University of Illinois at Chicago, 900 S. Ashland Ave-m/c 870, Chicago, IL 60607-7173, USA.
Michael E JohnsonCenter for Pharmaceutical Biotechnology, University of Illinois at Chicago, 900 S. Ashland Ave-m/c 870, Chicago, IL 60607-7173, USA. Electronic address: mjohnson@uic.edu.

Funding

Novel antiobiotic development for biodefenseU01AI077949 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI JOHNSON, MICHAEL E. · 2009 to 2010
$4.0M
NIAID NIH HHS U01 AI077949
6 · The paper itself

Abstract

The molecular basis of variable substrate and inhibitor specificity of the highly conserved bacterial fatty acid synthase enzyme, FabH, across different bacterial species remains poorly understood. In the current work, we explored the conformational diversity of FabH enzymes to understand the determinants of diverse interaction specificity across Gram-positive and Gram-negative bacteria. Atomistic molecular dynamics simulations reveal that FabH from E. coli and E. faecalis exhibit distinct native state conformational ensembles and dynamic behaviors. Despite strikingly similar substrate binding pockets, hot spot assessment using computational solvent mapping identified quite different favorable binding interactions between the two homologs. Our data suggest that FabH utilizes protein dynamics and seemingly minor sequence and structural differences to modulate its molecular recognition and substrate specificity across bacterial species. These insights will potentially facilitate the rational design and development of antibacterial inhibitors against FabH enzymes.

Indexed as

Models, Molecular3-Oxoacyl-(Acyl-Carrier-Protein) SynthaseAcetyltransferasesAmino Acid SequenceBacterial ProteinsBinding SitesConserved SequenceCrystallography, X-RayEnterococcus faecalisEscherichia coliEscherichia coli ProteinsFatty Acid Synthase, Type IILigandsMolecular ConformationMolecular Sequence DataProtein Conformation3-Oxoacyl-(Acyl-Carrier-Protein) SynthaseAcetyltransferasesBacterial ProteinsEscherichia coli ProteinsfabH protein, E coliFatty Acid Synthase, Type IILigandsBinding specificityComputational solvent mappingConformational diversityFabH

Identifiers

PMID25437098
PMCPMC4300265

What OpenQuestion holds

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Registered trials

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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.