2024
Do 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
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
2019
A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer
Wagner J, Rapsomaniki M, Chevrier S, Anzeneder T, Langwieder C, Dykgers A, Rees M, Ramaswamy A, Muenst S, Soysal S, Jacobs A, Windhager J, Silina K, van den Broek M, Dedes K, Martínez M, Weber W, Bodenmiller B. A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer. Cell 2019, 177: 1330-1345.e18. PMID: 30982598, PMCID: PMC6526772, DOI: 10.1016/j.cell.2019.03.005.Peer-Reviewed Original ResearchConceptsBreast cancerBreast cancer ecosystemsTumor-associated macrophagesResponse to therapyHuman breast tumorsTumor cell compositionHuman breast cancerNon-tumor tissue samplesPrecision medicine approachT cellsBreast tumorsImmune cellsPoor prognosisAntibody panelTumor cellsTumor ecosystemHeterogeneous diseaseClinical dataDisease progressionTumorSingle-cell atlasMass cytometryPhenotypic abnormalitiesMedicine approachImmune ecosystem
2012
Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis
Martínez M, Corradin A, Klein U, Álvarez M, Toffolo G, di Camillo B, Califano A, Stolovitzky G. Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 2672-2677. PMID: 22308355, PMCID: PMC3289327, DOI: 10.1073/pnas.1113019109.Peer-Reviewed Original ResearchConceptsB-cell exitTranscriptional regulatory modulesTerminal differentiationTerminal differentiation of B cellsSelf-regulatory interactionsGene expression profiling dataMechanisms of lymphomagenesisExpression profiling dataMature human B cellsRegulatory modulesGene regulationT cell signalingB cellsCellular statesDifferentiation of B cellsHuman B cellsGerminal centersTumorigenic alterationsGenesQuantitative kinetic modelMemory B cellsAssociated with lymphomagenesisFeedback loopLymphomagenesisT cells