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A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.21.423514Source: DataRank Database

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.625, placing it in the top 31.6% of the data-sharing corpus. It has been cited 20 times, with 8 citing works in its 1-hop citation network.

Top 32%percentile

0.625DataRank

Ranks in the top 32% for downstream scientific impact

Data paper Open Access20 citations · 8 citing works in its network

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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 (10 grants)OA: greenTopics (43)IDs (PubMed, OpenAlex)SDGs (2)

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 73%Citation Network 27%

Base Score Contribution

0.457

From this paper's citation signal

Citation Network Contribution

0.168

From 6 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 8 citers.

A cross-study analysis of drug response prediction in cancer cell lines
Briefings in Bioinformatics202199 citations91 referencesContributes 0.051
A cross-study analysis of drug response prediction in cancer cell lines
arXiv (Cornell University)20219 citations59 referencesContributes 0.039
A human metabolic map of pharmacological perturbations reveals drug modes of action
Nature Biotechnology202511 citations72 referencesContributes 0.035
A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia
Cell Communication and Signaling20253 citations47 referencesContributes 0.029
DeepSNEM: Deep Signaling Network Embeddings for compound mechanism of action identification
bioRxiv (Cold Spring Harbor Laboratory)20212 citations49 referencesContributes 0.022

Authors (28)

Robert J. Allaway ORCID,Bence Szalai ORCID,Wenyu Wang ORCID,Tingzhong Tian ORCID,Adrià Fernández‐Torras ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W3113420767

National Institutes of Health

Grant: 1S10OD012351-01

High-performance compute cluster for biomedical computing

European Commission

Grant: 101003633

Rapid interaction profiling of 2019-nCoV for network-based deep drug-repurpose learning (DDRL)

Research Council of Finland

Grant: 317680

Informatics approaches for predicting, testing and understanding personalized drug combinations for cancer

National Institutes of Health

Grant: 1S10OD021764-01

Storage System for High Performance Computing

European Commission

Grant: 614944

A systems pharmacology approach to the discovery of novel therapeutics in Alzheimer´s disease

European Commission

Grant: 716063

Informatics approaches for the rational selection of personalized cancer drug combinations

National Institutes of Health

Grant: 5U01CA217862-03

Functional Genomic Discovery of Pathway Targeted and Immune Modulatory Therapeutic Combinations in Hematologic Malignancies

European Commission

Grant: 824087

Providing an open collaborative space for digital biology in Europe

Research Council of Finland

Grant: 332454

Multipartite network-based models for precision medicine

National Institutes of Health

Grant: 5U01CA168426-02

Systems Biology of Tumor Progression and Drug Resistance

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/12/23/2020.12.21.423514.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.12.21.423514

repositoryhttps://doi.org/10.1101/2020.12.21.423514

https://doi.org/10.1016/j.xcrm.2021.100492

Fields of Study

Computational Drug Discovery MethodsBioinformatics and Genomic NetworksPharmacogenetics and Drug Metabolism0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Context (archaeology)Computer scienceDrug repositioningComputational biologyInferenceDrugSerendipityMechanism (biology)Drug actionMechanism of actionDrug discoveryArtificial intelligenceMachine learningPharmacologyBioinformaticsBiologyGeneticsIDENTIFICATIONTranscription, GeneticPolypharmacologyGene Expression ProfilingSMALL MOLECULESCANCERPREDICTArticleGene Expression Regulation, NeoplasticTARGETNeoplasmsCONNECTIVITY MAPSIMILARITYHumansNeural Networks, ComputerRNA, MessengerProtein KinasesSIGNATURESBiochemistry, cell and molecular biologyAlgorithms

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