2021
TITAN: T-cell receptor specificity prediction with bimodal attention networks
Weber A, Born J, Martínez M. TITAN: T-cell receptor specificity prediction with bimodal attention networks. Bioinformatics 2021, 37: i237-i244. PMID: 34252922, PMCID: PMC8275323, DOI: 10.1093/bioinformatics/btab294.Peer-Reviewed Original ResearchConceptsK-nearest neighborAttention networkLeverage transfer learningState-of-the-artK-nearest-neighbor (KNN) classifierInput data spaceK-NN classifierBimodal neural networkSMILES sequencesTransfer learningData augmentationAttention heatmapsCompetitive performanceNeural networkData spaceT cell receptorBoost performanceT-cell receptor sequencingClassifierNetworkImproved performanceT cellsPrediction of specificityPerformanceSequencing of T-cell receptor
2020
PaccMann: a web service for interpretable anticancer compound sensitivity prediction
Cadow J, Born J, Manica M, Oskooei A, Martínez M. PaccMann: a web service for interpretable anticancer compound sensitivity prediction. Nucleic Acids Research 2020, 48: w502-w508. PMID: 32402082, PMCID: PMC7319576, DOI: 10.1093/nar/gkaa327.Peer-Reviewed Original ResearchConceptsWeb servicesAttention-based neural networkState-of-the-art methodsState-of-the-artOutputs confidence scoresCompound structure informationInteractive editorModel decision makingChemical sub-structuresAttention heatmapsNeural networkWeb-based platformModel interpretationEfficient validationConfidence scoresDrug repositioningCompound structureDrug compoundsWebSource of informationStructural informationCompoundsBiomolecular samplesDecision makingPotential compounds