Search

People See all

Emil Bak

student, Student

Student, Student

Zhouyang(Cheste...

student, University of Cope...

Msc student | Full stack Developer | Pho...

Sean Vincent

startup, Senpage Consulting

Director of Senpage Consulting - Serial...

Jeppe Svan

collaborator, University of Cope...

Collaborator, University of Copenhagen (...

Morten Hertzum

university staff, Roskilde Universit...

University staff, Roskilde University (R...

Olivia Nørgaard...

student, Aarhus universitet

Student, Aarhus universitet

Miruna-Nicoleta...

student, Technical Universi...

Student, Technical University of Denmark

Len Seabrooke

university staff, Copenhagen Busines...

Professor in International Political Eco...

Events See all

Projects See all

Spring 2024 - Project Cycle

Project

Thirdroom Design and Development Project

Project, Senpage

Thirdroom Grants

Project

Challenges See all

CO2 reduktion og energirenovering

Closed Challenge

Jesper Simonsen

Professor of Participatory Design

Research See all

Use of "one-pot, mix-and-read" peptide-MHC class I tetramers and predictive algorithms to improve detection of cytotoxic T lymphocyte responses in cattle

Research, Nora

Predicted MHC peptide binding promiscuity explains MHC class I 'hotspots' of antigen presentation defined by mass spectrometry eluted ligand data

Research, Nora

Improved prediction methods for understanding the TCR-peptide-MHC interaction

Research, Nora

NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

Research, Nora

Peptide-binding motifs associated with MHC molecules common in Chinese rhesus macaques are analogous to those of human HLA supertypes and include HLA-B27-like alleles

Research, Nora

NetH2pan: A Computational Tool to Guide MHC peptide prediction on Murine Tumors

Research, Nora

Identification of MHC class II restricted T‐cell‐mediated reactivity against MHC class I binding Mycobacterium tuberculosis peptides

Research, Nora

Thermostability profiling of MHC-bound peptides: a new dimension in immunopeptidomics and aid for immunotherapy design

Research, Nora

Explore by category

Explore by category

People See all

Emil Bak

Zhouyang(Cheste...

Sean Vincent

Jeppe Svan

Morten Hertzum

Olivia Nørgaard...

Miruna-Nicoleta...

Len Seabrooke

Events See all

Projects See all

Spring 2024 - Project Cycle

Thirdroom Design and Development Project

Thirdroom Grants

Challenges See all

CO2 reduktion og energirenovering

Research See all

Use of "one-pot, mix-and-read" peptide-MHC class I tetramers and predictive algorithms to improve detection of cytotoxic T lymphocyte responses in cattle

Predicted MHC peptide binding promiscuity explains MHC class I 'hotspots' of antigen presentation defined by mass spectrometry eluted ligand data

Improved prediction methods for understanding the TCR-peptide-MHC interaction

NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

Peptide-binding motifs associated with MHC molecules common in Chinese rhesus macaques are analogous to those of human HLA supertypes and include HLA-B27-like alleles

NetH2pan: A Computational Tool to Guide MHC peptide prediction on Murine Tumors

Identification of MHC class II restricted T‐cell‐mediated reactivity against MHC class I binding Mycobacterium tuberculosis peptides

Thermostability profiling of MHC-bound peptides: a new dimension in immunopeptidomics and aid for immunotherapy design