Evidence map›Paper›PMID 15987894›Full record

ArticleProtein science : a publication of the Protein Society2005

The effect of long-range interactions on the secondary structure formation of proteins.

Daisuke Kihara

Abstract readEvaluation Study
In one paragraph

Article in Protein science : a publication of the Protein Society, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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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

40 citing papers in PubMed.

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  7. How accurate is circular dichroism-based model validation?European biophysics journal : EBJ · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Daisuke KiharaDepartment of Biological Sciences/Computer Science, Markey Center for Structural Biology, The Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA. dkihara@purdue.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of long-range residue interactions on defining secondary structure in a protein has long been discussed and is often cited as the current limitation to accurate secondary structure prediction. There are several experimental examples where a local sequence alone is not sufficient to determine its secondary structure, but a comprehensive survey on a large data set has not yet been done. Interestingly, some earlier studies denied the negative effect of long-range interactions on secondary structure prediction accuracy. Here, we have introduced the residue contact order (RCO), which directly indicates the separation of contacting residues in terms of the position in the sequence, and examined the relationship between the RCO and the prediction accuracy. A large data set of 2777 nonhomologous proteins was used in our analysis. Unlike previous studies, we do find that prediction accuracy drops as residues have contacts with more distant residues. Moreover, this negative correlation between the RCO and the prediction accuracy was found not only for beta-strands, but also for alpha-helices. The prediction accuracy of beta-strands is lower if residues have a high RCO or a low RCO, which corresponds to the situation that a beta-sheet is formed by beta-strands from different chains in a protein complex. The reason why the current study draws the opposite conclusion from the previous studies is examined. The implication for protein folding is also discussed.

Indexed as

Models, MolecularProtein Structure, SecondaryAmino AcidsComputational BiologyReproducibility of ResultsAmino Acids

Identifiers

PMID15987894
PMCPMC2279307

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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.