Evidence map›Paper›PMID 36628457›Full record

ReviewQuarterly reviews of biophysics2023

Myofilament-associated proteins with intrinsic disorder (MAPIDs) and their resolution by computational modeling.

Bin Sun, Peter M Kekenes-Huskey

Abstract readReview
In one paragraph

Review in Quarterly reviews of biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

2 authors.

Bin SunResearch Center for Pharmacoinformatics (The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Department of Medicinal Chemistry and Natural Medicine Chemistry, College of Pharmacy, Harbin Medical University, Harbin 150081, China.ORCID 0000-0003-2583-4493
Peter M Kekenes-HuskeyDepartment of Cell and Molecular Physiology, Loyola University Chicago, IL 60153, USA.ORCID 0000-0001-7286-3022

Funding

PROBING CELLULAR INTRACELLULAR CALCIUM SIGNALING AND SENSING THROUGH COMPUTATIONR35GM124977 · NIGMS · UNIVERSITY OF KENTUCKY · PI KEKENES-HUSKEY, PETER MICHAEL · 2017 to 2021
$1.8M
Probing macrophage cell nucleotide sensing and calcium signaling through computationR35GM148284 · NIGMS · LOYOLA UNIVERSITY CHICAGO · PI Peter Michael Kekenes-Huskey · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM124977NIGMS NIH HHS R35 GM148284
6 · The paper itself

Abstract

The cardiac sarcomere is a cellular structure in the heart that enables muscle cells to contract. Dozens of proteins belong to the cardiac sarcomere, which work in tandem to generate force and adapt to demands on cardiac output. Intriguingly, the majority of these proteins have significant intrinsic disorder that contributes to their functions, yet the biophysics of these intrinsically disordered regions (IDRs) have been characterized in limited detail. In this review, we first enumerate these myofilament-associated proteins with intrinsic disorder (MAPIDs) and recent biophysical studies to characterize their IDRs. We secondly summarize the biophysics governing IDR properties and the state-of-the-art in computational tools toward MAPID identification and characterization of their conformation ensembles. We conclude with an overview of future computational approaches toward broadening the understanding of intrinsic disorder in the cardiac sarcomere.

Indexed as

Actin CytoskeletonMyofibrilsComputer SimulationMolecular ConformationSarcomerescardiomyopathycomputational modelingintrinsically disordered proteinmyofilamentstructure and dynamics

Identifiers

PMID36628457
PMCPMC11070111

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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.