Emilio Dorigatti
Ludwig Maximilian University of Munich
Drug repositioningAntigen processingCombinatoricsVolume (computing)Machine learningPhysicsData miningBiomarker discoveryGraph (abstract data type)Data typeRegression analysisRelationship extractionArtificial intelligenceData structurePrecision medicineMacroMonte Carlo methodEpitopeSoftwareClinical PracticeContext (language use)Multimodal learningImmunogenicityInterpretabilityUnstructured dataPopulationViral VaccineAnalysis softwareDesign spaceGraph neural networksMomentum fluxModern medicineVaccine researchIndividual studyMolecular biomarkersTreatment regimenEpitope vaccineDesign elements and principlesField (computer science)Engineering design processComputer scienceLinear programmingProcess (engineering)Knowledge baseEvent (computing)Resource (project management)Relational databaseMechanicsComputational biologyText miningDrug discoveryTheoretical computer scienceImmune system
Publications 6
#1Fabio Boniolo (TUM: Technische Universität München)
#2Emilio Dorigatti (LMU: Ludwig Maximilian University of Munich)H-Index: 2
Last. Michael P. Menden (LMU: Ludwig Maximilian University of Munich)H-Index: 15
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Introduction: Precision medicine is the concept of treating diseases based on environmental factors, lifestyles, and molecular profiles of patients. This approach has been found to increase success rates of clinical trials and accelerate drug approvals. However, current precision medicine applications in early drug discovery use only a handful of molecular biomarkers to make decisions, whilst clinics gear up to capture the full molecular landscape of patients in the near future. This deep multi-...
#1Cornelius FritzH-Index: 2
Last. David RügamerH-Index: 5
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During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resources. Several experts have called for the necessity to account for human mobility to explain the spread of COVID-19. Existing approaches are often applying standard models of the respective research field. This habit, however, often comes along with ...
3 Citations
#1Emilio Dorigatti (LMU: Ludwig Maximilian University of Munich)H-Index: 2
#2Benjamin SchubertH-Index: 11
MOTIVATION Conceptually, epitope-based vaccine design poses two distinct problems: (i) selecting the best epitopes to elicit the strongest possible immune response and (ii) arranging and linking them through short spacer sequences to string-of-beads vaccines, so that their recovery likelihood during antigen processing is maximized. Current state-of-the-art approaches solve this design problem sequentially. Consequently, such approaches are unable to capture the inter-dependencies between the two...
2 CitationsSource
#1James Kahn (KIT: Karlsruhe Institute of Technology)H-Index: 1
#1J. KahnH-Index: 14
Last. T. KuhrH-Index: 115
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The large volume of data expected to be produced by the Belle II experiment presents the opportunity for studies of rare, previously inaccessible processes. Investigating such rare processes in a high data volume environment necessitates a correspondingly high volume of Monte Carlo simulations to prepare analyses and gain a deep understanding of the contributing physics processes to each individual study. This resulting challenge, in terms of computing resource requirements, calls for more intel...
#1Emilio Dorigatti (LMU: Ludwig Maximilian University of Munich)H-Index: 2
#2Benjamin Schubert (TUM: Technische Universität München)H-Index: 11
Epitope-based vaccines have revolutionized vaccine research in the last decades. Due to their complex nature, bioinformatics plays a pivotal role in their development. However, existing algorithms address only specific parts of the design process or are unable to provide formal guarantees on the quality of the solution. Here we present a unifying formalism of the general epitope vaccine design problem that tackles all phases of the design process simultaneously and combines all prevalent design ...
1 CitationsSource
#1Marco Fossati (fondazione bruno kessler)H-Index: 4
#2Emilio Dorigatti (University of Trento)H-Index: 1
Last. Claudio Giuliano (fondazione bruno kessler)H-Index: 18
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12 CitationsSource