Evidence map›Paper›PMID 28817247›Full record

ArticleHuman mutation2017

Assessing predictions of fitness effects of missense mutations in SUMO-conjugating enzyme UBE2I.

Jing Zhang, Lisa N Kinch, Qian Cong, Jochen Weile, Song Sun, Atina G Cote, Frederick P Roth, Nick V Grishin

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Ubiquitin-conjugating Enzymes in Cancer.International journal of biological sciences · 2026
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  11. eLife · 2019
    Article
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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

8 authors at 3 institutions in 2 countries.

Jing ZhangDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0003-4190-3065
Lisa N KinchHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas.
Qian CongDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas.
Jochen WeileLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Song SunLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Atina G CoteLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Frederick P RothLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Nick V GrishinDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas.
Mount Sinai Hospital · CAHoward Hughes Medical Institute · USThe University of Texas Southwestern Medical Center · US

Funding

Computational methods for structural-functional studies of proteinsR01GM094575 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2010 to 2017
$2.4M
Component 2 - Resource ProjectU41HG007346 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E · 2015 to 2017
$1.7M
Critical Assessment of Genome Interpretation ConferenceR13HG006650 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E · 2011 to 2018
$165k
Howard Hughes Medical InstituteNHGRI NIH HHS R13 HG006650NHGRI NIH HHS U41 HG007346NIGMS NIH HHS R01 GM094575
6 · The paper itself

Abstract

The exponential growth of genomic variants uncovered by next-generation sequencing necessitates efficient and accurate computational analyses to predict their functional effects. A number of computational methods have been developed for the task, but few unbiased comparisons of their performance are available. To fill the gap, The Critical Assessment of Genome Interpretation (CAGI) comprehensively assesses phenotypic predictions on newly collected experimental datasets. Here, we present the results of the SUMO conjugase challenge where participants were predicting functional effects of missense mutations in human SUMO-conjugating enzyme UBE2I. The performance of the predictors is similar to each other and is far from perfection. Evolutionary information from sequence alignments dominates the success: deleterious mutations at conserved positions and benign mutations at variable positions are accurately predicted. Prediction accuracy of other mutations remains unsatisfactory, and this fast-growing field of research is yet to learn the use of spatial structure information to improve the predictions significantly.

Indexed as

Mutation, MissenseComputational BiologyDatabases, GeneticEvolution, MolecularHigh-Throughput Nucleotide SequencingHumansModels, MolecularProtein BindingSelection, GeneticSequence AlignmentUbiquitin-Conjugating EnzymesUbiquitin-Conjugating Enzyme UBC9Ubiquitin-Conjugating EnzymesUbiquitin-Conjugating Enzyme UBC9CAGIperformancepredictorssubstitutionsSUMO

Identifiers

PMID28817247
PMCPMC5746193
OpenAlexW2746770987

What Socratic 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 Socratic graph.