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Pierce Lab

@pierce-lab

Computational structural biology and AI at the University of Maryland and Institute for Bioscience and Biotechnology Research. Decoding and engineering immune recognition.

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14.11.2024
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Latest posts by Pierce Lab @pierce-lab

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Structural insights into clonal restriction and diversity in T cell recognition of two immunodominant SARS-CoV-2 nucleocapsid epitopes @natcomms.nature.com
www.nature.com/articles/s41...

11.12.2025 01:49 πŸ‘ 3 πŸ” 2 πŸ’¬ 1 πŸ“Œ 0

OpenFold3-preview (OF3p) is out: a sneak peek of our AF3-based structure prediction model. Our aim for OF3 is full AF3-parity for every modality. We now believe we have a clear path towards this goal and are releasing OF3p to enable building in the OF3 ecosystem. MoreπŸ‘‡

28.10.2025 18:30 πŸ‘ 126 πŸ” 42 πŸ’¬ 1 πŸ“Œ 3
Left to right: CMNS Dean Amitabh Varshney, Rui Yin, CBMG Associate Professor Brian Pierce

Left to right: CMNS Dean Amitabh Varshney, Rui Yin, CBMG Associate Professor Brian Pierce

Rui Yin (Ph.D. '24, biological sciences) uses #ArtificialIntelligence to design antibodies that can cure previously incurable diseases.

During her Ph.D. at #UMD, Rui developed and applied computer algorithms to better understand the body’s immune response to pathogens and disease ➑️ go.umd.edu/yin

14.10.2025 17:37 πŸ‘ 2 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0

Foldseek-Multimerβ€”now published in @naturemethods.bsky.socialβ€”our fast multimer search tool, enables complex comparisons against the full PDB in seconds. It comes with BFMD, a collection of 300K+ predictions gathered from community projects.
πŸ“„ nature.com/articles/s41...
🌐 search.foldseek.com

06.02.2025 08:25 πŸ‘ 145 πŸ” 63 πŸ’¬ 0 πŸ“Œ 4

#AlphaFold 2 (via TCRmodel2) and AlphaFold3 were both tested for modeling of these new complex structures, and both were able to model them accurately. However, modeling of additionally structurally uncharacterized complexes led to low confidence scores, indicating room for improvement.

22.11.2024 20:57 πŸ‘ 5 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
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Structural characterization and AlphaFold modeling of human T cell receptor recognition of NRAS cancer neoantigens Structures of T cell receptor engagement of cancer neoantigens yield insights into specificity and accurate modeling by AlphaFold.

Happy to share this collaborative study with the Mariuzza Lab on structural characterization of #TCR engagement of NRAS cancer neoantigens, now out in Science Advances. This reveals how a human TCR is able to productively engage two different NRAS mutants.
www.science.org/doi/10.1126/...

22.11.2024 20:57 πŸ‘ 2 πŸ” 0 πŸ’¬ 1 πŸ“Œ 1