Melyssa Cheung
A5005166629- vaccines and immunoinformatics approaches
- Monoclonal and Polyclonal Antibodies Research
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- CAR-T cell therapy research
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Immunotherapy and Immune Responses
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
Advanced Bioscience Laboratories (United States)
2023-2024
Institute for Bioscience and Biotechnology Research
2023-2024
University of Maryland, College Park
2023-2024
Research Institute for Bioscience and Biotechnology
2023-2024
Abstract The cellular immune system, which is a critical component of human immunity, uses T cell receptors (TCRs) to recognize antigenic proteins in the form peptides presented by major histocompatibility complex (MHC) proteins. Accurate definition structural basis TCRs and their engagement peptide–MHCs can provide insights into normal aberrant help guide design vaccines immunotherapeutics. Given limited amount experimentally determined TCR–peptide–MHC structures vast within each individual...
Abstract We present the results for CAPRI Round 54, 5th joint CASP‐CAPRI protein assembly prediction challenge. The offered 37 targets, including 14 homodimers, 3 homo‐trimers, 13 heterodimers antibody–antigen complexes, and 7 large assemblies. On average ~70 CASP predictor groups, more than 20 automatics servers, submitted models each target. A total of 21 941 by these groups 15 scorer were evaluated using model quality measures DockQ score consolidating measures. performance was quantified...
Abstract Recognition of antigens by T cell receptors (TCRs) is a key component adaptive immunity. Understanding the structures these TCR interactions provides major insights into immune protection and diseases, enables design therapeutics, vaccines predictive modeling algorithms. Previously, we released TCR3d, database resource for TCRs their recognition. Due to growth available categories complexes, content TCR3d has expanded substantially in past 5 years. This expansion includes new tables...
T cell receptors (TCRs) that recognize cancer neoantigens are important for anticancer immune responses and immunotherapy. Understanding the structural basis of TCR recognition provides insights into their exquisite specificity can enable design optimized TCRs. We determined crystal structures a human in complex with NRAS Q61K Q61R neoantigen peptides HLA-A1 major histocompatibility (MHC), revealing molecular underpinnings dual versus wild-type peptide. then used multiple versions AlphaFold...
We present the results for CAPRI Round 54, 5th joint CASP-CAPRI protein assembly prediction challenge. The offered 37 targets, including 14 homo-dimers, 3 homo-trimers, 13 hetero-dimers antibody-antigen complexes, and 7 large assemblies. On average ~70 CASP predictor groups, more than 20 automatics servers, submitted models each target. A total of 21941 by these groups 15 scorer were evaluated using model quality measures DockQ score consolidating measures. performance was quantified a...
Abstract T cell receptors (TCRs) that recognize cancer neoantigens are important for anti-cancer immune responses and immunotherapy. Understanding the structural basis of TCR recognition provides insights into their exquisite specificity can enable design optimized TCRs. We determined crystal structures a human in complex with NRAS Q61K Q61R neoantigen peptides HLA-A1 MHC, revealing molecular underpinnings dual versus wild-type peptide. then used multiple versions AlphaFold to model...
Deep learning methods, trained on the increasing set of available protein 3D structures and sequences, have substantially impacted modeling design field. These advancements facilitated creation novel proteins, or optimization existing ones designed for specific functions, such as binding a target protein. Despite demonstrated potential approaches in designing general binders, their application immunotherapeutics remains relatively underexplored. A relevant is T cell receptors (TCRs). Given...
Deep learning methods, trained on the increasing set of available protein 3D structures and sequences, have substantially impacted modeling design field. These advancements facilitated creation novel proteins, or optimization existing ones designed for specific functions, such as binding a target protein. Despite demonstrated potential approaches in designing general binders, their application immunotherapeutics remains relatively unexplored. A relevant is T cell receptors (TCRs). Given...