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Contrastive learning in protein language space predicts interactions between drugs and protein targets

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2220778120Source: DataRank Database

Contrastive learning in protein language space predicts interactions between drugs and protein targets is a research paper published in Proceedings of the National Academy of Sciences (2023). On theSindex it has a DataRank of 4.5. It has been cited 191 times, with 181 citing works in its 1-hop citation network.

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4.5DataRank · unranked

Scored on demand from live citation data

Open Access191 citations · 181 citing works in its network

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Linked data & code

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 29.70)OA: greenTopics (32)Linked Datasets (10)DataCite Reuse (10)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)

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DataRank Breakdown

Base Score 18%Citation Network 82%

Base Score Contribution

0.789

From this paper's citation signal

Citation Network Contribution

3.7

From 132 citing papers with measurable signal

Learn more about DataRank methodology →

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 181 citers.

MultiT2: A Tool Connecting the Multimodal Data for Bacterial Aromatic Polyketide Natural Products
ACS Omega20253 citations9 referencesContributes 0.154
Utility of the Morgan Fingerprint in Structure-Based Virtual Ligand Screening
The Journal of Physical Chemistry B202439 citations38 referencesContributes 0.097
Prediction of Umami Peptides Based on a Large Language Model of Proteins
Journal of Chemical Information and Modeling20253 citations15 referencesContributes 0.092
Causal enhanced drug–target interaction prediction based on graph generation and multi-source information fusion
Bioinformatics202420 citations33 referencesContributes 0.092
Protein–DNA binding sites prediction based on pre-trained protein language model and contrastive learning
Briefings in Bioinformatics202376 citations52 referencesContributes 0.084

Authors (5)

Samuel Sledzieski ORCID,Bryan D. Bryson ORCID,Lenore Cowen ORCID,Bonnie Berger ORCID,Rohit Singh ORCID

Live enrichment

PubMed:37289807 PMC:PMC10268324 OpenAlex:https://openalex.org/W4379932151

HHS | National Institutes of Health

Grant: R35GM141861

National Science Foundation

Grant: CCF-19345533

National Science Foundation

Grant: 2141064

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: 1R35GM141861-01

Manifold representations and active learning for 21 st century biology

National Science Foundation

Grant: 1934553

HDR TRIPODS: Building the Foundation for a Data-Intensive Studies Center-

FWCI

29.70

Citation Percentile

1.0%

Influential Citations

Citation Trend

2023

2024

2025

2026

greenLicense: cc-by-nc-nd

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10268324/pdf/pnas.202220778.pdf

HYBRIDhttps://doi.org/10.1073/pnas.2220778120

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10268324/pdf/pnas.202220778.pdf

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2220778120

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10268324

Fields of Study

Computational Drug Discovery MethodsMachine Learning in BioinformaticsProtein Structure and DynamicsMedicineComputer Science0206 medical engineering02 engineering and technologyHumansProteinsDrug DiscoveryDrug Evaluation, PreclinicalLanguage

MeSH Terms

Drug Evaluation, PreclinicalHumansLanguageProteinsDrug Discovery

Keywords

Computational biologySpace (punctuation)Computer scienceBiologydrug discoveryDrug–target InteractionContrastive LearningProtein Language ModelsDrug Evaluation, PreclinicalHumansProteinsProtein sequences, DNA sequencesBiological SciencesSoftware, source code, etc. for problems pertaining to biologyLanguage

Sustainable Development Goals

SDG 0: Quality Education

Additional file 5 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.26652099.v1figshare

Additional file 5 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.26652099figshare

Additional file 1 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.24792336.v1figshare

Additional file 4 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.26652096.v1figshare

Additional file 2 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.24792412.v1figshare

Additional file 4 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.26652096figshare

Additional file 1 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.24792336figshare

Additional file 3 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.26652093.v1figshare

Additional file 2 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.24792412figshare

Additional file 3 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

10.6084/m9.figshare.26652093figshare