Evidence map›Paper›PMID 15215423›Full record

ArticleNucleic acids research2004

SDPpred: a tool for prediction of amino acid residues that determine differences in functional specificity of homologous proteins.

Olga V Kalinina, Pavel S Novichkov, Andrey A Mironov, Mikhail S Gelfand, Aleksandra B Rakhmaninova

Abstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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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

5 authors.

Olga V KalininaDepartment of Bioengineering and Bioinformatics, Moscow State University, Vorob'evy gory, 1-73, Moscow, 119992, Russia.
Pavel S Novichkov
Andrey A Mironov
Mikhail S Gelfand
Aleksandra B Rakhmaninova

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SDPpred (Specificity Determining Position prediction) is a tool for prediction of residues in protein sequences that determine the proteins' functional specificity. It is designed for analysis of protein families whose members have biochemically similar but not identical interaction partners (e.g. different substrates for a family of transporters). SDPpred predicts residues that could be responsible for the proteins' choice of their correct interaction partners. The input of SDPpred is a multiple alignment of a protein family divided into a number of specificity groups, within which the interaction partner is believed to be the same. SDPpred does not require information about the secondary or three-dimensional structure of proteins. It produces a set of the alignment positions (specificity determining positions) that determine differences in functional specificity. SDPpred is available at http://math.genebee.msu.ru/~psn/.

Indexed as

Sequence Analysis, ProteinSequence Homology, Amino AcidSoftwareAlgorithmsAmino AcidsInternetModels, MolecularProteinsSequence AlignmentUser-Computer InterfaceAmino AcidsProteins

Identifiers

PMID15215423
PMCPMC441529

What OpenQuestion holds

Textmetadata
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.