Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling

APL Bioengineering(2020)10.1063/1.5133026Source: DataRank Database

Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling is a research paper published in APL Bioengineering (2020). On theSindex it has a DataRank of 0. It has been cited 51 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access51 citations

Download PDF

Cite:

Linked data & code

pdb

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 (7 grants)Impact (FWCI 2.84)OA: goldTopics (24)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (2)

Markus J. Buehler ORCID,Chi‐Hua Yu ORCID

Live enrichment

PubMed:32206742 PMC:PMC7078008 OpenAlex:https://openalex.org/W3011400720

MIT Center for Art, Science, and Technology

Grant: MIT internal

Mellon Foundation

Grant: N/A

Office of Naval Research

Grant: N00014-16-1-2333

National Institutes of Health

Grant: U01-EB014976

Army Research Office

Grant: 73793EG

NIBIB NIH HHS

Grant: U01 EB014976

National Institutes of Health

Grant: 5U01EB014976-03

Models to predict protein biomaterial performance

FWCI

2.84

Citation Percentile

0.9%

Citation Trend

2019

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://aip.scitation.org/doi/pdf/10.1063/1.5133026

publisherhttps://aip.scitation.org/doi/pdf/10.1063/1.5133026

publisherhttps://pubs.aip.org/aip/apb/article-pdf/doi/10.1063/1.5133026/19626212/016108_1_1.5133026.pdf

journalhttps://doi.org/10.1063/1.5133026

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32206742

Fields of Study

Protein Structure and DynamicsMachine Learning in Materials Science0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Protein secondary structureDeep learningComputer scienceComputational biologyArtificial intelligenceProtein designMODELLERProtein structureArtificial neural networkProtein structure predictionHomology modelingBiologyPattern recognition (psychology)BiochemistryMedical technologyArticlesR855-855.5TP248.13-248.65Biotechnology

Sustainable Development Goals

SDG 3: 3. Good health

Additional file 1 of Innovative communication of molecular evolution through sound: a biological sonification concert

10.6084/m9.figshare.26725910.v1figshare

Additional file 1 of Innovative communication of molecular evolution through sound: a biological sonification concert

10.6084/m9.figshare.26725910figshare

Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling

FAIR Checklist

Authors (2)

Funding (7 grants)

Impact

Open Access

Topics

Linked Datasets (2)

Annotations (Europe PMC)