Brian Pierce
Brian Pierce
Biography
Prior to joining the University of Maryland in 2014, I was a research faculty member at the University of Massachusetts Medical School, following two years as a Senior Scientist at Pfizer. I received my Ph.D. in Bioinformatics from Boston University in 2008 and a B.S. in Physics and Computer Science from Duke University.
Teaching
- BSCI411: Bioinformatics and Integrated Genomics
- CBMG688G: Computational Structural Biology
Graduate Program Affiliations
- Biological Sciences (BISI): Computational Biology, Bioinformatics, and Genomics (CBBG)
- Biological Sciences (BISI): Molecular and Cell Biology (MOCB)
Research Interests
My lab focuses on computational structural biology, with a particular emphasis on modeling and design of immune recognition, including antibodies, T cell receptors, and structure-based vaccine design. We develop and utilize artificial intelligence and physics-based approaches, and we actively share our software tools and curated structural databases with the research community. My laboratory is based at the University of Maryland Institute for Bioscience and Biotechnology Research in Rockville.
Education
- Ph.D., Bioinformatics, Boston University, 2008
- B.S., Physics and Computer Science, Duke University, 2000
All Publications
BISI Concentration Areas
Computational Biology, Bioinformatics, and GenomicsMolecular and Cellular Biology
Latest Papers
TCR3d 2.0: expanding the T cell receptor structure database with new structures, tools and interactions
|
Nucleic Acids Research
Author(s): Valerie Lin, Melyssa Cheung, Ragul Gowthaman, et. al
UMD Author(s): Brian Pierce
Exploring the Potential of Structure-Based Deep Learning Approaches for T cell Receptor Design
|
PLOS Computational Biology
Author(s): Helder V. Ribeiro-Filho, Gabriel E. Jara, João V. S. Guerra, et. al
UMD Author(s): Brian Pierce
Proscan: a structure-based proline design web server
|
Nucleic Acids Research
Author(s): Nathaniel Felbinger, Helder V Ribeiro-Filho, Brian G Pierce
UMD Author(s): Brian Pierce
Combinatorially restricted computational design of protein-protein interfaces to produce IgG heterodimers.
|
Science advances
Author(s): Azzam T, Du JJ, Flowers MW, et. al
UMD Author(s): Brian Pierce
Evaluation of AlphaFold antibody–antigen modeling with implications for improving predictive accuracy
|
Protein Science
Author(s): Rui Yin, Brian G. Pierce
UMD Author(s): Brian Pierce
A single C-terminal residue controls SARS-CoV-2 spike trafficking and incorporation into VLPs
|
Nature Communications
Author(s): Debajit Dey, Enya Qing, Yanan He, et. al
UMD Author(s): Brian Pierce
Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment.
|
Proteins
Author(s): Lensink MF, Brysbaert G, Raouraoua N, et. al
UMD Author(s): Brian Pierce
SARS-CoV-2 infection establishes a stable and age-independent CD8+ T cell response against a dominant nucleocapsid epitope using restricted T cell receptors.
|
Nature Communications
Author(s): Choy C, Chen J, Li J, et. al
UMD Author(s): Brian Pierce
Structure of engineered hepatitis C virus E1E2 ectodomain in complex with neutralizing antibodies
|
Nature Communications
Author(s): Matthew C. Metcalf, Benjamin M. Janus, Rui Yin, et. al
UMD Author(s): Brian Pierce
TCRmodel2: high-resolution modeling of T cell receptor recognition using deep learning
|
Nucleic Acids Research
Author(s): Rui Yin, Helder V Ribeiro-Filho, Valerie Lin, et. al
UMD Author(s): Brian Pierce
