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The DBSAV Database: Predicting Deleteriousness of Single Amino Acid Variations in the Human Proteome

Journal of Molecular Biology(2021)10.1016/j.jmb.2021.166915Source: DataRank Database

The DBSAV Database: Predicting Deleteriousness of Single Amino Acid Variations in the Human Proteome is a dataset published in Journal of Molecular Biology (2021). On theSindex it has a DataRank of 1.1, placing it in the top 18.8% of the data-sharing corpus. It has been cited 24 times, with 20 citing works in its 1-hop citation network.

Top 19%percentile

1.1DataRank

Ranks in the top 19% for downstream scientific impact

Data paper Open Access24 citations · 20 citing works in its network

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Linked data & code

uniprot

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 1.33)OA: greenTopics (32)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 45%Citation Network 55%

Base Score Contribution

0.483

From this paper's citation signal

Citation Network Contribution

0.594

From 16 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 20 citers.

Accurate prediction of protein structures and interactions using a three-track neural network
Science20215,781 citations78 referencesContributes 0.111
Design of Human Resource Allocation Algorithm Based on Convolutional Neural Network
20222 citations13 referencesContributes 0.085
Accurate prediction of protein structures and interactions using a three-track neural network
Yearbook of pediatric endocrinology2022213 citations66 referencesContributes 0.081
Molecular diagnostic yield of exome sequencing in a Chinese cohort of 512 fetuses with anomalies
BMC Pregnancy and Childbirth20245 citations24 referencesContributes 0.075
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion
Journal of Chemical Information and Modeling202426 citations63 referencesContributes 0.052

Authors (2)

Nick V. Grishin ORCID,Jimin Pei ORCID

Live enrichment

PubMed:33676930 PMC:PMC8119332 OpenAlex:https://openalex.org/W3135564304

NIGMS NIH HHS

Grant: R35 GM127390

NIH

Welch Foundation

FWCI

1.33

Citation Percentile

0.8%

Citation Trend

2021

2022

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-004

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8119332

publisherhttps://api.elsevier.com/content/article/PII:S0022283621001091?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0022283621001091?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jmb.2021.166915

Fields of Study

Genomics and Phylogenetic StudiesGenomics and Rare DiseasesRNA and protein synthesis mechanismsAmino AcidsArea Under CurveDatabases, ProteinGenetic VariationHumansNeural Networks, ComputerProteomeROC Curve

MeSH Terms

Amino AcidsHumansROC CurveGenetic VariationNeural Networks, ComputerArea Under CurveProteomeDatabases, Protein

Keywords

BiologyGeneComputational biologyGeneticsPopulationProteomeBioinformaticsMedicineGenetic variationsPathogenic VariantsBenign VariantsNeural Network PredictorVariant Deleteriousness Prediction