Evidence map›Paper›PMID 32932609›Full record

ArticleBiomolecules2020

Structural Models for the Dynamic Effects of Loss-of-Function Variants in the Human SIM1 Protein Transcriptional Activation Domain.

Mathew A Coban, Patrick R Blackburn, Murray L Whitelaw, Mieke M van Haelst, Paldeep S Atwal, Thomas R Caulfield

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2020. 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
3.7field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 48 citations in OpenAlex.

  1. NovelInternational journal of molecular sciences · 2026
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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

6 authors at 4 institutions in 3 countries.

Mathew A CobanDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0001-6396-6759
Patrick R BlackburnDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-0658-1275
Murray L WhitelawDepartment of Molecular and Cellular Biology, University of Adelaide, Adelaide SA 5000, Australia.
Mieke M van HaelstDepartment of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Paldeep S AtwalCenter for Individualized Medicine, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0002-8515-744X
Thomas R CaulfieldDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0002-1055-3069
Mayo Clinic · USAmsterdam University Medical Centers · NLMayo Clinic in Florida · USThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-minded homologue 1 (SIM1) is a transcription factor with numerous different physiological and developmental functions. SIM1 is a member of the class I basic helix-loop-helix-PER-ARNT-SIM (bHLH-PAS) transcription factor family, that includes several other conserved proteins, including the hypoxia-inducible factors, aryl hydrocarbon receptor, neuronal PAS proteins, and the CLOCK circadian regulator. Recent studies of HIF-a-ARNT and CLOCK-BMAL1 protein complexes have revealed the organization of their bHLH, PASA, and PASB domains and provided insight into how these heterodimeric protein complexes form; however, experimental structures for SIM1 have been lacking. Here, we describe the first full-length atomic structural model for human SIM1 with its binding partner ARNT in a heterodimeric complex and analyze several pathogenic variants utilizing state-of-the-art simulations and algorithms. Using local and global positional deviation metrics, deductions to the structural basis for the individual mutants are addressed in terms of the deleterious structural reorganizations that could alter protein function. We propose new experiments to probe these hypotheses and examine an interesting SIM1 dynamic behavior. The conformational dynamics demonstrates conformational changes on local and global regions that represent a mechanism for dysfunction in variants presented. In addition, we used our ab initio hybrid model for further prediction of variant hotspots that can be engineered to test for counter variant (restoration of wild-type function) or basic research probe.

Indexed as

Mutation, MissenseAmino Acid MotifsAryl Hydrocarbon Receptor Nuclear TranslocatorBasic Helix-Loop-Helix ProteinsBinding SitesGene ExpressionHumansMolecular Dynamics SimulationPrader-Willi SyndromeProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsProtein MultimerizationRepressor ProteinsThermodynamicsARNT protein, humanAryl Hydrocarbon Receptor Nuclear TranslocatorBasic Helix-Loop-Helix ProteinsRepressor ProteinsSIM1 protein, humancomputational modelingenhanced molecular dynamicsPrader-Willi-like syndromesingle-minded homologue 1variants of uncertain significance

Identifiers

PMID32932609
PMCPMC7563489
OpenAlexW3084917158

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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.