Evidence map›Paper›PMID 36829461›Full record

ArticleBiology2023

How AlphaFold2 Predicts Conditionally Folding Regions Annotated in an Intrinsically Disordered Protein Database, IDEAL.

Hiroto Anbo, Koya Sakuma, Satoshi Fukuchi, Motonori Ota

Abstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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

4 authors.

Hiroto AnboFaculty of Engineering, Maebashi Institute of Technology, Maebashi 371-0816, Japan.ORCID 0000-0003-0408-0901
Koya SakumaGraduate School of Informatics, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0003-2083-0979
Satoshi FukuchiFaculty of Engineering, Maebashi Institute of Technology, Maebashi 371-0816, Japan.
Motonori OtaGraduate School of Informatics, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0001-9090-668X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AlphaFold2 (AF2) is a protein structure prediction program which provides accurate models. In addition to predicting structural domains, AF2 assigns intrinsically disordered regions (IDRs) by identifying regions with low prediction reliability (pLDDT). Some regions in IDRs undergo disorder-to-order transition upon binding the interaction partner. Here we assessed model structures of AF2 based on the annotations in IDEAL, in which segments with disorder-to-order transition have been collected as Protean Segments (ProSs). We non-redundantly selected ProSs from IDEAL and classified them based on the root mean square deviation to the corresponding region of AF2 models. Statistical analysis identified 11 structural and sequential features, possibly contributing toward the prediction of ProS structures. These features were categorized into two groups: one that contained pLDDT and the other that contained normalized radius of gyration. The typical ProS structures in the former group comprise a long α helix or a whole or part of the structural domain and those in the latter group comprise a short α helix with terminal loops.

Indexed as

assessment of predictiondatabaseintrinsically disordered regionsprotein structure prediction

Identifiers

PMID36829461
PMCPMC9952413

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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.