Evidence map›Paper›PMID 25970262›Full record

ReviewProtein science : a publication of the Protein Society2015

ChSeq: A database of chameleon sequences.

Wenlin Li, Lisa N Kinch, P Andrew Karplus, Nick V Grishin

Open access · bronzeAbstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 59 citations in OpenAlex.

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  19. The presence of non-native helical structure in the unfolding of a beta-sheet protein MPT63.Protein science : a publication of the Protein Society · 2017
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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

4 authors at 3 institutions in 1 country.

Wenlin LiDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.
Lisa N KinchHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.
P Andrew KarplusDepartment of Biochemistry and Biophysics, Oregon State University, Corvallis, Oregon, 97331.
Nick V GrishinDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.
The University of Texas Southwestern Medical Center · USOregon State University · USSouthwestern 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
Improving Modeling by Learning from Details of High Accuracy Protein StructuresR01GM083136 · NIGMS · OREGON STATE UNIVERSITY · PI KARPLUS, PAUL ANDREW · 2008 to 2015
$1.7M
NIGMS NIH HHS GM083136NIGMS NIH HHS GM094575NIGMS NIH HHS R01 GM083136NIGMS NIH HHS R01 GM094575
6 · The paper itself

Abstract

Chameleon sequences (ChSeqs) refer to sequence strings of identical amino acids that can adopt different conformations in protein structures. Researchers have detected and studied ChSeqs to understand the interplay between local and global interactions in protein structure formation. The different secondary structures adopted by one ChSeq challenge sequence-based secondary structure predictors. With increasing numbers of available Protein Data Bank structures, we here identify a large set of ChSeqs ranging from 6 to 10 residues in length. The homologous ChSeqs discovered highlight the structural plasticity involved in biological function. When compared with previous studies, the set of unrelated ChSeqs found represents an about 20-fold increase in the number of detected sequences, as well as an increase in the longest ChSeq length from 8 to 10 residues. We applied secondary structure predictors on our ChSeqs and found that methods based on a sequence profile outperformed methods based on a single sequence. For the unrelated ChSeqs, the evolutionary information provided by the sequence profile typically allows successful prediction of the prevailing secondary structure adopted in each protein family. Our dataset will facilitate future studies of ChSeqs, as well as interpretations of the interplay between local and nonlocal interactions. A user-friendly web interface for this ChSeq database is available at prodata.swmed.edu/chseq.

Indexed as

Amino Acid SequenceAnimalsDatabases, ProteinHumansModels, MolecularMolecular Sequence DataProtein FoldingProteinsProtein Structure, SecondarySequence Homology, Amino AcidSoftwareProteinsbiological functionchameleon sequenceChSeqconformational changesecondary structuresecondary structure predictionsequence profilestructural plasticity

Identifiers

PMID25970262
PMCPMC4500308
OpenAlexW1600959429

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.