Evidence map›Paper›PMID 41509306›Full record

ArticlebioRxiv : the preprint server for biology2025

Protein structure shapes natural genetic variation and

Christopher M Jakobson, Alexandria Van Elgort, José Aguilar-Rodríguez, Daniel F Jarosz

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

4 authors.

Christopher M JakobsonDept. of Chemical & Systems Biology, Stanford University School of Medicine, Stanford CA.ORCID 0000-0001-7594-7416
Alexandria Van ElgortDept. of Chemical & Systems Biology, Stanford University School of Medicine, Stanford CA.ORCID 0000-0001-8429-7275
José Aguilar-RodríguezDept. of Chemical & Systems Biology, Stanford University School of Medicine, Stanford CA.ORCID 0000-0001-7622-5482
Daniel F JaroszDept. of Chemical & Systems Biology, Stanford University School of Medicine, Stanford CA.ORCID 0000-0003-3497-5888

Funding

Discovery of protein aggregates during vertebrate aging and neurodegenerationRF1AG057334 · NIA · STANFORD UNIVERSITY · PI BRUNET, ANNE, JAROSZ, DANIEL · 2017 to 2017
$3.7M
Protein-based Molecular Memories in Gene Regulation, Disease, and DevelopmentDP2GM119140 · NIGMS · STANFORD UNIVERSITY · PI JAROSZ, DANIEL · 2015 to 2015
$2.4M
Mechanisms of Action of Natural Genetic VariationR01HG012366 · NHGRI · STANFORD UNIVERSITY · PI Daniel Jarosz · 2023 to 2026
$1.5M
Molecular Pharmacology Training GrantT32GM113854 · NIGMS · STANFORD UNIVERSITY · PI MOCHLY-ROSEN, DARIA · 2015 to 2019
$1.1M
Using self-templating proteins to spatiotemporally organize biochemistryF32GM125162 · NIGMS · STANFORD UNIVERSITY · PI JAKOBSON, CHRISTOPHER MATTHEW · 2017 to 2019
$179k
NHGRI NIH HHS R01 HG012366NIA NIH HHS RF1 AG057334NIGMS NIH HHS DP2 GM119140NIGMS NIH HHS F32 GM125162NIGMS NIH HHS T32 GM113854
6 · The paper itself

Abstract

Protein structural context strongly influences the functional outcomes of mutations, but exploiting this intuition to interpret the consequences of natural variants has been limited by the paucity of structural information. Here, we show that simple molecular heuristics based on predicted protein structures-solvent accessibility and the local complexity of the protein fold-are strong predictors of protein-coding variation in genomes from yeast to plants to humans. Polymorphisms in structured and unstructured regions alike were subject to these constraints, revealing fine-grained selection across amino acid residues and secondary structures. The same analyses distinguished deleterious variants in datasets from existing deep mutational scans. Extending the metrics to

Identifiers

PMID41509306
PMCPMC12776117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.