2024
Lessons learned from the IMMREP23 TCR-epitope prediction challenge
Nielsen M, Eugster A, Jensen M, Goel M, Tiffeau-Mayer A, Pelissier A, Valkiers S, Martínez M, Meynard-Piganeeau B, Greiff V, Mora T, Walczak A, Croce G, Moreno D, Gfeller D, Meysman P, Barton J. Lessons learned from the IMMREP23 TCR-epitope prediction challenge. ImmunoInformatics 2024, 16: 100045. DOI: 10.1016/j.immuno.2024.100045.Peer-Reviewed Original ResearchData leakageIssue of data leakageT cell receptorPerformance of proposed methodsPrediction challengeTraining dataBenchmarking CompetitionPMHC targetsRandom performanceTCR-pMHC interactionsInteraction of T-cell receptorsParticipating teamsCellular immune systemData setsTest dataImmune systemPerformanceNarrow spaceT-cell receptor binding prediction: A machine learning revolution
Weber A, Pélissier A, Martínez M. T-cell receptor binding prediction: A machine learning revolution. ImmunoInformatics 2024, 15: 100040. DOI: 10.1016/j.immuno.2024.100040.Peer-Reviewed Original ResearchProtein language modelsT cell receptorExtract biological insightsUnlabeled protein sequencesProtein sequencesBinding specificityBiological insightsProtein modelsRepertoire dataDeep learning modelsSequenceBlack-box modelsUnsupervised clustering approachDataset biasEvolution of computational modelsLack of generalityLanguage modelImmunizing sequencesMachine learning effortsCompetitive performanceOpaque modelsBiological propertiesLearning modelsClustering approachSupervised modelsDo domain-specific protein language models outperform general models on immunology-related tasks?
Deutschmann N, Pelissier A, Weber A, Gao S, Bogojeska J, Martínez M. Do domain-specific protein language models outperform general models on immunology-related tasks? ImmunoInformatics 2024, 14: 100036. DOI: 10.1016/j.immuno.2024.100036.Peer-Reviewed Original ResearchProtein language modelsDevelopment of bioinformatics pipelinesAmino acid sequenceAntigen recognition capabilitiesBioinformatics pipelineAcid sequenceProtein functionDomain-specific modelsEvolutionary changesB cell receptorAdaptive immune system responsesImmune receptorsT cell receptorB cellsT cellsImmune system responseDownstream analytical tasksVector embeddingsRepresentation capabilityLanguage modelImmune responseEmbedding layerReceptorsAnalytical tasks
2023
Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report
Meysman P, Barton J, Bravi B, Cohen-Lavi L, Karnaukhov V, Lilleskov E, Montemurro A, Nielsen M, Mora T, Pereira P, Postovskaya A, Martínez M, Fernandez-de-Cossio-Diaz J, Vujkovic A, Walczak A, Weber A, Yin R, Eugster A, Sharma V. Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report. ImmunoInformatics 2023, 9: 100024. DOI: 10.1016/j.immuno.2023.100024.Peer-Reviewed Original Research
2022
DECODE: a computational pipeline to discover T cell receptor binding rules
Papadopoulou I, Nguyen A, Weber A, Martínez M. DECODE: a computational pipeline to discover T cell receptor binding rules. Bioinformatics 2022, 38: i246-i254. PMID: 35758821, PMCID: PMC9235487, DOI: 10.1093/bioinformatics/btac257.Peer-Reviewed Original ResearchConceptsT cell receptor bindingT cell receptorComputational pipelineTCR-epitope bindingBlack-box natureSequence motifsSequencing technologiesSupplementary dataBlack-box modelsBiochemical rulesMachine learningVisualization toolsComputational rulesDecodingData abundanceSequenceBioinformaticsEasy-to-useAdaptive immune responsesBindingBinding propertiesT cell-based therapiesT-cell receptor sequencingTCR bindingTCR specificity
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