Evidence map›Paper›PMID 26321598›Full record

ReviewBiochimica et biophysica acta2016

Measuring specificity in multi-substrate/product systems as a tool to investigate selectivity in vivo.

Yin-Ming Kuo, Ryan A Henry, Andrew J Andrews

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Information leakage in enzyme-substrate prediction.Bioinformatics (Oxford, England) · 2026
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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

3 authors.

Yin-Ming KuoDepartment of Cancer Biology, Fox Chase Cancer Center, Philadelphia, PA 19111, USA.
Ryan A HenryDepartment of Cancer Biology, Fox Chase Cancer Center, Philadelphia, PA 19111, USA.
Andrew J AndrewsDepartment of Cancer Biology, Fox Chase Cancer Center, Philadelphia, PA 19111, USA. Electronic address: Andrew.Andrews@fccc.edu.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
TRAINING PROGRAM IN CANCER RESEARCHT32CA009035 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CHERNOFF, JONATHAN · 1985 to 2020
$10.5M
The Role of Histone Chaperones in Histone Acetylation and Nucleosome DynamicsR01GM102503 · NIGMS · UNIVERSITY OF NORTH CAROLINA WILMINGTON · PI ANDREWS, ANDREW JOSEPH · 2014 to 2023
$3.9M
NCI NIH HHS P30 CA006927NCI NIH HHS T32 CA009035NIGMS NIH HHS GM102503NIGMS NIH HHS R01 GM102503
6 · The paper itself

Abstract

Multiple substrate enzymes present a particular challenge when it comes to understanding their activity in a complex system. Although a single target may be easy to model, it does not always present an accurate representation of what that enzyme will do in the presence of multiple substrates simultaneously. Therefore, there is a need to find better ways to both study these enzymes in complicated systems, as well as accurately describe the interactions through kinetic parameters. This review looks at different methods for studying multiple substrate enzymes, as well as explores options on how to most accurately describe an enzyme's activity within these multi-substrate systems. Identifying and defining this enzymatic activity should help clear the way to using in vitro systems to accurately predicting the behavior of multi-substrate enzymes in vivo. This article is part of a Special Issue entitled: Physiological Enzymology and Protein Functions.

Indexed as

AlgorithmsBiocatalysisEnzyme AssaysEnzymesKineticsModels, ChemicalSubstrate SpecificityEnzymesInternal competitionKineticsMass spectrometrySelectivitySpecificity

Identifiers

PMID26321598
PMCPMC4924809

What OpenQuestion holds

Textmetadata
LicenceTDM
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.