Evidence map›Paper›PMID 30516771›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2018

Protein structure networks provide insight into active site flexibility in esterase/lipases from the carnivorous plant Drosera capensis.

Vy T Duong, Megha H Unhelkar, John E Kelly, Suhn H Kim, Carter T Butts, Rachel W Martin

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 14 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

6 authors at 1 institution in 2 countries.

Vy T DuongDepartment of Chemistry, UC Irvine, Irvine, CA 92697, USA.
Megha H Unhelkar
John E Kelly
Suhn H Kim
Carter T Butts
Rachel W Martin
Irvine Valley College · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Mathematical, Computational and Systems BiologyT32EB009418 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, NIE, QING · 2009 to 2019
$2.4M
PacBio RS Single Molecule, Real-Time (SMRT) DNA SequencerS10OD010794 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2012 to 2012
$600k
High-Throughput DNA SequencerS10OD021718 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2016 to 2016
$600k
High Throughput DNA SequencerS10RR025496 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2009 to 2009
$500k
NCI NIH HHS P30 CA062203NCRR NIH HHS S10 RR025496NIBIB NIH HHS T32 EB009418NIH HHS S10 OD010794
6 · The paper itself

Abstract

In plants, esterase/lipases perform transesterification reactions, playing an important role in the synthesis of useful molecules, such as those comprising the waxy coatings of leaf surfaces. Plant genomes and transcriptomes have provided a wealth of data about expression patterns and the circumstances under which these enzymes are upregulated, e.g. pathogen defense and response to drought; however, predicting their functional characteristics from genomic or transcriptome data is challenging due to weak sequence conservation among the diverse members of this group. Although functional sequence blocks mediating enzyme activity have been identified, progress to date has been hampered by the paucity of information on the structural relationships among these regions and how they affect substrate specificity. Here we present methodology for predicting overall protein flexibility and active site flexibility based on molecular modeling and analysis of protein structure networks (PSNs). We define two new types of specialized PSNs: sequence region networks (SRNs) and active site networks (ASNs), which provide parsimonious representations of molecular structure in reference to known features of interest. Our approach, intended as an aid to target selection for poorly characterized enzyme classes, is demonstrated for 26 previously uncharacterized esterase/lipases from the genome of the carnivorous plant Drosera capensis and validated using a case/control design. Analysis of the network relationships among functional blocks and among the chemical moieties making up the catalytic triad reveals potentially functionally significant differences that are not apparent from sequence analysis alone.

Indexed as

AlgorithmsCatalysisCatalytic DomainCluster AnalysisComputational BiologyDroseraEsterasesGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantLipaseModels, MolecularPlant LeavesPlant ProteinsProtein ConformationSoftwareEsterasesLipasePlant Proteins

Identifiers

PMID30516771
PMCPMC6336102
OpenAlexW2902627109

What OpenQuestion holds

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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.