Pierce Lab
pierce-lab.bsky.social
Pierce Lab
@pierce-lab.bsky.social
Computational structural biology and AI at the University of Maryland and Institute for Bioscience and Biotechnology Research. Decoding and engineering immune recognition.
Reposted by Pierce Lab
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. More👇
October 28, 2025 at 6:30 PM
Reposted by Pierce Lab
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 ➡️ go.umd.edu/yin
October 14, 2025 at 5:37 PM
Reposted by Pierce Lab
Foldseek-Multimer—now published in @naturemethods.bsky.social—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.
📄 nature.com/articles/s41...
🌐 search.foldseek.com
February 6, 2025 at 8:25 AM
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/...
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.
www.science.org
November 22, 2024 at 8:57 PM