The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Computational Design of a TCR-Based Bispecific Engager Targeting Cancerous KRAS G12V Mutations
Open accessPublished version of a preprint
Abstract
Bispecific T-cell engager (BiTE) therapy is a type of immunotherapy that redirects cytotoxic T cells to target tumor cells. Traditionally, a BiTE structure dual binds to the CD3 receptor on the T-cell surface and to the mutated antigen presented on the surface of the cancer cell as an extracellular protein. An example of this is blinatumomab, an FDA-approved BiTE structure for the treatment of B-cell acute lymphoblastic leukemia (B-ALL). However, traditional BiTE complexes are at risk of off-tumor effects due to their targeting of cell surface antigens, which are not specific to certain cancer variants. In this study, we utilized a computational approach, an area that remains underdeveloped in current immunotherapy design, to design the initial structures of two TCR-BiTEs that consist of a single-chain variable fragment (scFv) in conjunction with a T-cell receptor (TCR) that binds specifically to the KRAS G12V neoantigen, which currently does not have any FDA-approved targeted therapy treatments. Ultimately, we present two promising TCR-BiTEs that are specific to two different HLAs (HLA:03:01 and HLA:11:01) targeting KRAS G12V, serving as valuable starting points for further evaluation and design in vitro. We validated the design of our TCR-BiTE structures through AlphaFold tools, free energy estimation methods, and molecular dynamics analysis, thereby also providing a potential computational pipeline that can be applied in the design of TCR-BiTE structures targeting other mutations in addition to KRAS G12V.
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Cites
Highly accurate protein structure prediction with AlphaFold
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“15,16 The software was able to predict interdomain contracts that focused on the TCR variable regions and fusion components.”
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Research works printed but not linked: 6
- Baeuerle P. A., 2009, Curr. Opin. Mol. Ther., 11, 22
- 10.1038/s41592-022-01488-1 · DOI · Paper page
- 10.3389/fimmu.2019.02064 · DOI
- 10.1093/bioinformatics/btv552 · DOI
- Zhou J., 2017, Cell. Mol. Immunol., 14, 826
- Paggi J. M., 2023, Nucleic Acids Res., 53, W306
Metadata
- Authors
- Shah, N., Sharma, G., Patel, V., Wu, M., Mummadi, A., Taneja, A., Shah, M., Le, G. B., Krishna, M., & Brah, H.
- Affiliations
- Aspiring Scholars Directed Research Program (US)
- Corresponding author
- Brah, Harman
- Venue
- ACS Omega
- Publisher
- American Chemical Society (ACS)
- Published
- 2026-03-09
- Volume
- 11
- Issue
- 11
- Pages
- 17366-17380
- ISSN
- 2470-1343 (ISSN-L)
- PMC
- PMC13019212
- OpenAlex
- W7134948581
- Cited by
- 0
- References
- 42
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- ACS Omega (publishedVersion, cc-by-nc-nd)
- ChemRxiv (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- bispecific T-cell engagers, KRAS G12V mutation, neoantigens, T cell receptor engineering, scFv, HLA class I binding, cancer immunotherapy, computational protein design, on-target off-tumor toxicity, AlphaFold, free energy calculation, molecular dynamics
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- Shah, N., Sharma, G., Patel, V., Wu, M., Mummadi, A., Taneja, A., Shah, M., Le, G. B., Krishna, M., & Brah, H. (2026). Computational Design of a TCR-Based Bispecific Engager Targeting Cancerous KRAS G12V Mutations. ACS Omega. https://doi.org/10.1021/acsomega.5c10229
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