Skip to content
DraconiticResearch
Search Sources API
201,642 studies31 sourcesUpdated 27 min ago
Peer-reviewedCC BYJournal for ImmunoTherapy of Cancer

1017 Computational design of de novo antigen-specific T cell receptors using AI optimization and long-time-scale molecular simulations for targeted cancer immunotherapy

  • Kellie N Smith1
  • Yash Bhargava2
  • Samuel J Huang3
  • Drew M Pardoll3
  1. 1Johns Hopkins School of Medicine, Baltimore, MD, USA
  2. 2Johns Hopkins School of Medicine, Carmel, IN, USA
  3. 3Johns Hopkins University School of Medicine, Baltimore, MD, USA
Open at sourceDOICite

Related

  1. Isoform-selective modulation of peroxisome proliferator-activated receptors by quercetin and apigenin revealed through molecular simulations
    Erdal Balcan, Mehdi Irani
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textMolecular biology & gene regulationCrossref
  2. Advancing asparaginase-based therapy for acute lymphoblastic leukemia through computational immunoengineering and molecular dynamics simulations
    Leila Sarafan Soleimanzadeh, Maryam Azimzadeh Irani, Bita Amiri Hazaveh +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textMolecular biology & gene regulationCrossref
  3. Artificial Avidity Optimization of T-cell Receptors by Integrating Deep Learning Model and Mammalian Cell Surface Display
    Mengmeng Wei, Shengzuo Bai, Wenfan Chen +11
    PhenomicsPeer-reviewedLicence not statedFull textMolecular biology & gene regulationPMC
  4. What Computational Simulations Tell Us about Cryptochromes in Magnetoreception
    Mariastella Cascone, Lorenzo Cupellini, Benedetta Mennucci
    BiochemistryPeer-reviewedCC BY 4.0Full textBiophysicsPMC
  5. Receptor-Specific Molecular Recognition of Maresin 1 and Docosahexaenoic Acid by the Nuclear Receptors PPARα, PPARγ, and RORα
    Matías Quiñones San Martín, Christian Olivera-Fuentes, Francisca Herrera-Vielma +5
    BiomoleculesPeer-reviewedCC BY 4.0Molecular biology & gene regulationCrossref

Cite

BibTeXRIS
BibTeX
@article{smith20261017,
  title = {{1017 Computational design of de novo antigen-specific T cell receptors using AI optimization and long-time-scale molecular simulations for targeted cancer immunotherapy}},
  author = {Kellie N Smith and Yash Bhargava and Samuel J Huang and Drew M Pardoll},
  journal = {Journal for ImmunoTherapy of Cancer},
  year = {2026},
  month = nov,
  doi = {10.1136/jitc-2026-sitc2026.1017},
  url = {https://doi.org/10.1136/jitc-2026-sitc2026.1017},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - 1017 Computational design of de novo antigen-specific T cell receptors using AI optimization and long-time-scale molecular simulations for targeted cancer immunotherapy
AU  - Kellie N Smith
AU  - Yash Bhargava
AU  - Samuel J Huang
AU  - Drew M Pardoll
PY  - 2026
DA  - 2026/11/06
JO  - Journal for ImmunoTherapy of Cancer
DO  - 10.1136/jitc-2026-sitc2026.1017
UR  - https://doi.org/10.1136/jitc-2026-sitc2026.1017
SN  - 2051-1426
ER  -