Anzeige der Einträge 1-14 von 14

    • Adaptive immune receptor repertoire (AIRR) community guide to TR and IG gene annotation 

      Babrak, Lmar; Marquez, Susanna; Busse, Christian; Lees, William; Miho, Enkelejda; Ohlin, Mats; Rosenfeld, Aaron; Stervbo, Ulrik; Watson, Corey; Schramm, Chaim (2022-05-28)
      Immunogenetics Methods and Protocols
      High-throughput sequencing of adaptive immune receptor repertoires (AIRR, i.e., IG and TR) has revolutionized the ability to carry out large-scale experiments to study the adaptive immune response. Since the method was ...
      04A - Beitrag Sammelband
    • Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences 

      Smakaj, Erand; Babrak, Lmar; Tosoni, Deniz David; Galli, Christa; Miho, Enkelejda (2019-12-24)
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding 

      Miho, Enkelejda; Akbar, Rahmad; Pavlovic, Milena; Snapkov, Igor; Slabodkin, Andrei; Scheffer, Lonneke; Haff, Ingrid Hobaed; Tryslew Haug, Dag Trygve; Lund-Johanson, Fridtjof; Safonova, Yana; Greiff, Victor; Robert, Philippe; Jeliazkov, Jeliazko; Weber, Cedric; Sandve, Geir (2021-03-16)
      Cell Reports
      Antibody-antigen binding relies on the specific interaction of amino acids at the paratope-epitope interface. The predictability of antibody-antigen binding is a prerequisite for de novo antibody and (neo-)epitope design. ...
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • Large-scale network analysis reveals the sequence space architecture of antibody repertoires 

      Miho, Enkelejda (2019-03-21)
      Nature Communications
      The architecture of mouse and human antibody repertoires is defined by the sequence similarity networks of the clones that compose them. The major principles that define the architecture of antibody repertoires have remained ...
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • Machine learning detects anti-DENV signatures in antibody repertoire sequences 

      Horst, Alexander; Smakaj, Erand; Natali, Eriberto; Tosoni, Deniz David; Babrak, Lmar; Meier, Patrick; Miho, Enkelejda (2021-10-11)
      Frontiers in Artificial Intelligence
      Dengue infection is a global threat. As of today, there is no universal dengue fever treatment or vaccines unreservedly recommended by the World Health Organization. The investigation of the specific immune response to ...
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • Network Modeling to Predict Personal Immune Scenarios 

      Miho, Enkelejda (2019-01-17)
      06 - Präsentation
    • Prediction of personal antibody repertoires 

      Miho, Enkelejda (2019-01-28)
      06 - Präsentation
    • Prospective artificial intelligence to dissect the dengue immune response and discover therapeutics 

      Natali, Eriberto; Babrak, Lmar; Miho, Enkelejda (2021-06-15)
      frontiers in immunology
      Dengue virus (DENV) poses a serious threat to global health as the causative agent of dengue fever. The virus is endemic in more than 128 countries resulting in approximately 390 million infection cases each year. Currently, ...
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • RWD-Cockpit. Application for quality assessment of real-world data 

      Degen, Markus; Babrak, Lmar; Smakaj, Erand; Agac, Teyfik; Asprion, Petra; Grimberg, Frank; Van der Werf, Daan; Van Ginkel, Erwin Willem; Tosoni, Deniz David; Clay, Ieuan; Brodbeck, Dominique; Natali, Eriberto; Schkommodau, Erik; Miho, Enkelejda (2022-10-18)
      JMIR formative research
      Digital technologies are transforming the health care system. A large part of information is generated as real-world data (RWD). Data from electronic health records and digital biomarkers have the potential to reveal ...
      01A - Beitrag in wissenschaftlicher Zeitschrift
    • Sequencing of the M protein. Toward personalized medicine in monoclonal gammopathies 

      Cascino, Pasquale; Nevone, Alice; Piscitelli, Maggie; Scopelliti, Claudia; Girelli, Maria; Mazzini, Giulia; Caminito, Serena; Russo, Giancarlo; Milani, Paolo; Basset, Marco; Foli, Andrea; Fazio, Francesca; Casarini, Simona; Massa, Margherita; Bozzola, Margherita; Ripepi, Jessica; Sesta, Melania Antonietta; Acquafredda, Gloria; De Cicco, Marica; Moretta, Antonia; Rognoni, Paola; Milan, Enrico; Ricagno, Stefano; Lavatelli, Francesca; Petrucci, Maria Teresa; Klersy, Catherine; Merlini, Giampaolo; Palladini, Giovanni; Nuvolone, Mario; Miho, Enkelejda (2022-08-23)
      American Journal of Hematology
      Each patient with a monoclonal gammopathy has a unique monoclonal (M) protein, whose sequence can be used as a tumoral fingerprint to track the presence of the B cell or plasma cell (PC) clone itself. Moreover, the M protein ...
      01A - Beitrag in wissenschaftlicher Zeitschrift
    • Single Cell Gene Expression analysis in a 3D microtissue liver model reveals cell type-specific responses to pro-fibrotic TGF-β1 stimulation 

      Messner, Catherine; Babrak, Lmar; Titolo, Gaia; Caj, Michaela; Miho, Enkelejda; Suter-Dick, Laura (2021-04-22)
      International Journal of Molecular Sciences
      3D cell culture systems are widely used to study disease mechanisms and therapeutic interventions. Multicellular liver microtissues (MTs) comprising HepaRG, hTERT-HSC and THP-1 maintain multicellular interactions and ...
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • Traditional and Digital Biomarkers: Two Worlds Apart? 

      Babrak, Lmar; Miho, Enkelejda (2019)
      Digital Biomarkers
      The identification and application of biomarkers in the clinical and medical fields has an enor - mous impact on society. The increase of digital devices and the rise in popularity of health- related mobile apps has ...
      01 - Zeitschriftenartikel, Journalartikel oder Magazin
    • Transitioning from Traditional Computational Modeling to Machine Learning and AI 

      Miho, Enkelejda (2019-09-17)
      06 - Präsentation
    • Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction 

      Robert, Philippe A.; Akbar, Rahmad; Pavlović, Milena; Widrich, Michael; Snapkov, Igor; Slabodkin, Andrei; Chernigovskaya, Maria; Scheffer, Lonneke; Smorodina, Eva; Rawat, Puneet; Mehta, Brij Bhushan; Vu, Mai Ha; Mathisen, Ingvild Frøberg; Prósz, Aurél; Abram, Krzysztof; Olar, Axel; Miho, Enkelejda; Haug, Dag Trygve Tryslew; Lund-Johansen, Fridtjof; Hochreiter, Sepp; Hobæk Haff, Ingrid; Klambauer, Günter; Sandve, Geir Kjetil; Greiff, Victor (2022-12-19)
      Nature Computational Science
      Machine learning (ML) is a key technology for accurate prediction of antibody–antigen binding. Two orthogonal problems hinder the application of ML to antibody-specificity prediction and the benchmarking thereof: the lack ...
      01A - Beitrag in wissenschaftlicher Zeitschrift