Evidence map›Paper›PMID 17976239›Full record

ArticleGenome biology2007

Determinants of protein function revealed by combinatorial entropy optimization.

Boris Reva, Yevgeniy Antipin, Chris Sander

Abstract read
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers.

0numbers the graph read from it
0cells of the map it votes in
186citing 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

186 citing papers in PubMed.

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  14. Genomic Characterization of Preclinical Prostate Cancer Cell Line Models.International journal of molecular sciences · 2024
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  15. Molecular mechanisms of NaBiophysical journal · 2024
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  19. A Mutational Hotspot in TheCell journal · 2024
    Article
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126 more citing papers are in PubMed but not listed here.

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.

Boris RevaComputational Biology Center, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA. borisr@mskcc.org
Yevgeniy Antipin
Chris Sander

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use a new algorithm (combinatorial entropy optimization [CEO]) to identify specificity residues and functional subfamilies in sets of proteins related by evolution. Specificity residues are conserved within a subfamily but differ between subfamilies, and they typically encode functional diversity. We obtain good agreement between predicted specificity residues and experimentally known functional residues in protein interfaces. Such predicted functional determinants are useful for interpreting the functional consequences of mutations in natural evolution and disease.

Indexed as

Combinatorial Chemistry TechniquesEntropyAlgorithmsAmino Acid SequenceCell Cycle ProteinsEvolution, MolecularGTP PhosphohydrolasesHumansMolecular Sequence DataSequence Homology, Amino AcidCell Cycle ProteinsGTP Phosphohydrolases

Identifiers

PMID17976239
PMCPMC2258190

What OpenQuestion holds

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LicenceCC BY
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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.