Evidence map›Paper›PMID 37090430›Full record

ArticleComputational and structural biotechnology journal2023

Towards mechanistic models of mutational effects: Deep learning on Alzheimer's Aβ peptide.

Bo Wang, Shahab Razavi, Eric R Gamazon

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

3 authors at 3 institutions in 2 countries.

Bo WangDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Shahab RazaviDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Eric R GamazonDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
National Cancer Institute · USVanderbilt University · USVanderbilt University Medical Center · US

Funding

Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
Functional Genomics: A Phenome-wide SurveyR35HG010718 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2019 to 2023
$2.2M
Advancing Multi-Omics and Electronic Health Records Computational MethodologiesR01HG011138 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2020 to 2024
$1.6M
Advancing drug repositioning and development for Alzheimer's Disease using functional genomics and computational phenomicsR56AG068026 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2021 to 2022
$1.5M
NHGRI NIH HHS R01 HG011138NHGRI NIH HHS R35 HG010718NIA NIH HHS R56 AG068026NIGMS NIH HHS R01 GM140287
6 · The paper itself

Abstract

Deep Mutational Scanning (DMS) has enabled multiplexed measurement of mutational effects on protein properties, including kinematics and self-organization, with unprecedented resolution. However, potential bottlenecks of DMS characterization include experimental design, data quality, and depth of mutational coverage. Here, we apply deep learning to comprehensively model the mutational effect of the Alzheimer's Disease associated peptide Aβ

Indexed as

Alzheimer's diseaseConvolutional neural networksDeep learningDeep mutational scanningMutationNeural networksNucleationRecurrent neural networks

Identifiers

PMID37090430
PMCPMC10114515
OpenAlexW4362472544

What OpenQuestion holds

Textmetadata
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.