Evidence map›Paper›PMID 36291643›Full record

ArticleBiomolecules2022

Elucidating the Structural Impacts of Protein InDels.

Muneeba Jilani, Alistair Turcan, Nurit Haspel, Filip Jagodzinski

Abstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Muneeba JilaniDepartment of Computer Science, University of Massachusetts Boston, Boston, MA 02125, USA.
Alistair TurcanDepartment of Computer Science, Western Washington University, Bellingham, WA 98225, USA.
Nurit HaspelDepartment of Computer Science, University of Massachusetts Boston, Boston, MA 02125, USA.
Filip JagodzinskiDepartment of Computer Science, Western Washington University, Bellingham, WA 98225, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of amino acid insertions and deletions (InDels) remain a rather under-explored area of structural biology. These variations oftentimes are the cause of numerous disease phenotypes. In spite of this, research to study InDels and their structural significance remains limited, primarily due to a lack of experimental information and computational methods. In this work, we fill this gap by modeling InDels computationally; we investigate the rigidity differences between the wildtype and a mutant variant with one or more InDels. Further, we compare how structural effects due to InDels differ from the effects of amino acid substitutions, which are another type of amino acid mutation. We finish by performing a correlation analysis between our rigidity-based metrics and wet lab data for their ability to infer the effects of InDels on protein fitness.

Indexed as

INDEL MutationProteinsAmino AcidsAmino Acid SubstitutionMutationAmino AcidsProteinscomputational structural biologygraph-theoryprotein InDel mutationsrigidity

Identifiers

PMID36291643
PMCPMC9599607

What OpenQuestion holds

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Registered trials

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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.