A5008048434- Monoclonal and Polyclonal Antibodies Research
- Glycosylation and Glycoproteins Research
- Celiac Disease Research and Management
- Protein purification and stability
- T-cell and B-cell Immunology
- Advanced Biosensing Techniques and Applications
- Galectins and Cancer Biology
- SARS-CoV-2 and COVID-19 Research
- Toxin Mechanisms and Immunotoxins
- Viral Infectious Diseases and Gene Expression in Insects
- Transgenic Plants and Applications
- RNA and protein synthesis mechanisms
- CAR-T cell therapy research
- Amino Acid Enzymes and Metabolism
- Advanced Proteomics Techniques and Applications
- vaccines and immunoinformatics approaches
- Virus-based gene therapy research
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Eosinophilic Esophagitis
- HIV Research and Treatment
- Herpesvirus Infections and Treatments
- Cancer, Lipids, and Metabolism
- Microscopic Colitis
- Metabolism and Genetic Disorders
Johns Hopkins University
2020-2023
University of Oslo
2015-2022
Oslo University Hospital
2016-2022
Monoclonal IgG antibodies are the fastest growing class of biologics, but large differences exist in their plasma half-life humans. Thus, to design with favorable pharmacokinetics, it is crucial identify determinants such differences. Here, we demonstrate that variable region sequences greatly affect cellular uptake and subsequent recycling rescue from intracellular degradation by endothelial cells. When masked cognate antigen, influences both transport behavior binding neonatal Fc receptor...
In recent years, the observed antibody sequence space has grown exponentially due to advances in high-throughput sequencing of immune receptors. The rise sequences not been mirrored by a structures, as experimental structure determination techniques have remained low-throughput. Computational modeling, however, potential close sequence–structure gap. To achieve this goal, computational methods must be robust, fast, easy use, and accurate. Here we report on latest made RosettaAntibody Rosetta...
The human infectious disease COVID-19 caused by the SARS-CoV-2 virus has become a major threat to global public health. Developing vaccine is preferred prophylactic response epidemics and pandemics. However, for individuals who have contracted disease, rapid design of antibodies that can target fulfils critical need. Further, discovering bind multiple variants aid in development antigen tests (RATs) which are identification isolation currently carrying COVID-19. Here we provide...
A human TCR-like antibody blocks gluten-dependent activation of celiac disease T cells in vitro and HLA-DQ2.5 humanized mice.
Antibodies are widely developed and used as therapeutics to treat cancer, infectious disease, inflammation. During development, initial leads routinely undergo additional engineering increase their target affinity. Experimental methods for affinity maturation expensive, laborious, time-consuming rarely allow the efficient exploration of relevant design space. Deep learning (DL) models transforming field protein design. While several DL-based have shown promise, antibody problem is distinct,...
Abstract Antibody-based therapeutics (ABTs) are used to treat a range of diseases. Most ABTs either full-length IgG1 antibodies or fusions between for instance antigen (Ag)-binding receptor domains and the Fc fragment. Interestingly, their plasma half-life varies considerably, which may relate how they engage neonatal (FcRn). As such, there is need an in-depth understanding different features affect FcRn-binding transport behavior. Here, we report on FcRn-engagement fragment compare...
The continued emergence of new SARS-CoV-2 variants has accentuated the growing need for fast and reliable methods design potentially neutralizing antibodies (Abs) to counter immune evasion by virus. Here, we report on de novo computational high-affinity Ab variable regions (Fv) through recombination VDJ genes targeting most solvent-exposed hACE2-binding residues spike receptor binding domain (RBD) protein using software tool OptMAVEn-2.0. Subsequently, carried out affinity maturation...
Selection of biased T cell receptor (TCR) repertoires across individuals is seen in both infectious diseases and autoimmunity, but the underlying molecular basis leading to these shared remains unclear. Celiac disease (CD) occurs primarily HLA-DQ2.5+ characterized by a CD4+ response against gluten epitopes dominated DQ2.5-glia-α1a DQ2.5-glia-α2. The DQ2.5-glia-α2 recruits highly TCR repertoire composed TRAV26-1 paired with TRBV7-2 harboring semipublic CDR3β loop. We aimed unravel for this...
Cancer is a class of diseases characterized by abnormal cell growth and one the major reasons for human deaths. Proteins are involved in molecular mechanisms leading to cancer, furthermore they affected anti‐cancer drugs, protein biomarkers can be used diagnose certain cancer types. Therefore, it important explore proteomics background cancer. In this report, we developed Proteomics database re‐interrogate published proteome studies investigating The divided three sections related processes,...
ABSTRACT We describe Rosetta-based computational protocols for predicting the three-dimensional structure of an antibody from sequence and then docking antibody–protein-antigen complexes. Antibody modeling leverages canonical loop conformations to graft large segments experimentally-determined structures as well (1) energetic calculations minimize loops, (2) methodology refine V L –V H relative orientation, (3) de novo prediction elusive complementarity determining region (CDR) H3 loop. To...
Prophylactic zidovudine (ZDV) therapy in feline immunodeficiency virus (FIV) inoculated cats was evaluated for 12 months postinfection (pi) and 11 post drug treatment. Plasma FIV antigenemia prevented six of ZDV-treated none untreated during the initial phase infection. The present study is a continuation that earlier work. CD4 lymphocyte numbers from were higher than cats. CD8 lymphocytes maintained within control limits cats, while they declined Anti-FIV antibody liters comparable between...
Abstract In recent years, the observed antibody sequence space has grown exponentially due to advances in high-throughput sequencing of immune receptors. The rise sequences not been mirrored by a structures, as experimental structure determination techniques have remained low-throughput. Computational modeling, however, potential close sequence–structure gap. To achieve this goal, computational methods must be robust, fast, easy use, and accurate. Here we report on latest made...
Agarelektrophoretische Analysen menschlicher Organextrakte zum Nachweis von Lactatdehydrogenase-Isoenzymen (unter Anwendung der Methode Van Helm) haben gezeigt, dass sich die Isoenzymmuster verschiedenen deutlich voneinander unterscheiden. Im allgemeinen konnten 5 Isoenzyme differenziert werden. Die liessen in drei verschiedene Konstellationstypen einteilen: einen LDH I/II-Typ, IV/V-Typ und Intermediärtyp. Als Nebenbefund konnte dargelegt werden, nach mehrwöchigem Stehen bei...
TCR-like antibodies represent a unique type of engineered with specificity toward pHLA, ligand normally restricted to the sensitive recognition by T cells. Here, we report phage display-based sequential development path such antibodies. The strategy goes from initial lead identification through in silico informed CDR engineering combination framework for affinity and thermostability optimization, respectively. allowed HLA-DQ2.5 gluten peptide-specific low picomolar affinity. Our method...
Abstract Antibodies are widely developed and used as therapeutics to treat cancer, infectious disease, inflammation. During development, initial leads routinely undergo additional engineering increase their target affinity. Experimental methods for affinity maturation expensive, laborious, time-consuming rarely allow the efficient exploration of relevant design space. Deep learning (DL) models transforming field protein design. While several DL-based have shown promise, antibody problem is...
Abstract Antibodies specific for antigenic peptides bound to major histocompatibility complex (MHC) molecules are valuable tools studies of antigen presentation. Such T-cell receptor (TCR)-like antibodies may also have therapeutic potential in human disease due their ability target disease-associated antigens with high specificity. We previously generated celiac (CeD) relevant TCR-like that recognize the prevalent gluten epitope DQ2.5-glia-α1a HLA-DQ2.5. Here, we report on second-generation...