Evidence map›Paper›PMID 36959451›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2023

Computational Methods to Predict Intrinsically Disordered Regions and Functional Regions in Them.

Hiroto Anbo, Motonori Ota, Satoshi Fukuchi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hiroto AnboFaculty of Engineering, Maebashi Institute of Technology, Maebashi, Japan.
Motonori OtaGraduate School of Information Sciences, Nagoya University, Nagoya, Japan.
Satoshi FukuchiFaculty of Engineering, Maebashi Institute of Technology, Maebashi, Japan. sfukuchi@maebashi-it.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsically disordered regions (IDRs) are protein regions that do not adopt fixed tertiary structures. Since these regions lack ordered three-dimensional structures, they should be excluded from the target portions of homology modeling. IDRs can be predicted from the amino acid sequences, because their amino acid compositions are different from that of the structured domains. This chapter provides a review of the prediction methods of IDRs and a case study of IDR prediction.

Indexed as

Intrinsically Disordered ProteinsAmino AcidsAmino Acid SequenceProtein ConformationProtein DomainsAmino AcidsIntrinsically Disordered ProteinsAmino acid sequencesBioinformaticsIntrinsically disordered proteinMachine learningMolecular recognition featuresProtean segmentsShort linear motif

Identifiers

PMID36959451

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.