Evidence map›Paper›PMID 18313074›Full record

ArticleJournal of molecular biology2008

Discrimination between distant homologs and structural analogs: lessons from manually constructed, reliable data sets.

Hua Cheng, Bong-Hyun Kim, Nick V Grishin

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Protein structure determination by exhaustive search of Protein Data Bank derived databases.Proceedings of the National Academy of Sciences of the United States of America · 2010
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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 at 3 institutions in 1 country.

Hua ChengHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9050, USA. hua.cheng@utsouthwestern.edu
Bong-Hyun Kim
Nick V Grishin
Howard Hughes Medical Institute · USSouthwestern Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

Computations of Fold Changes in Evolution of ProteinsR01GM067165 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2003 to 2006
$1.1M
NIGMS NIH HHS GM67165NIGMS NIH HHS R01 GM067165
6 · The paper itself

Abstract

A natural way to study protein sequence, structure, and function is to put them in the context of evolution. Homologs inherit similarities from their common ancestor, while analogs converge to similar structures due to a limited number of energetically favorable ways to pack secondary structural elements. Using novel strategies, we previously assembled two reliable databases of homologs and analogs. In this study, we compare these two data sets and develop a support vector machine (SVM)-based classifier to discriminate between homologs and analogs. The classifier uses a number of well-known similarity scores. We observe that although both structure scores and sequence scores contribute to SVM performance, profile sequence scores computed based on structural alignments are the best discriminators between remote homologs and structural analogs. We apply our classifier to a representative set from the expert-constructed database, Structural Classification of Proteins (SCOP). The SVM classifier recovers 76% of the remote homologs defined as domains in the same SCOP superfamily but from different families. More importantly, we also detect and discuss interesting homologous relationships between SCOP domains from different superfamilies, folds, and even classes.

Indexed as

Computational BiologyDatabases, ProteinSequence Homology, Amino AcidAmino Acid SequenceLinear ModelsModels, MolecularMolecular Sequence DataProbability TheoryReproducibility of ResultsSequence AlignmentSequence Analysis, Protein

Identifiers

PMID18313074
PMCPMC4494761
OpenAlexW1977949834

What OpenQuestion holds

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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.