Brian G. Pierce, Ph.D.
Affiliations: | 2008 | Boston University, Boston, MA, United States |
Area:
Biostatistics BiologyGoogle:
"Brian Pierce"Parents
Sign in to add mentor| Zhiping Weng | grad student | 2008 | Boston University | |
| (Development of structure-based computational methods for prediction and design of protein -protein interactions.) | ||||
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Publications
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| Sachdev S, Roy S, Saha SJ, et al. (2025) Evaluation of Alphafold modeling for elucidation of nanobody-peptide epitope interactions. The Journal of Biological Chemistry. 110268 |
| Gowthaman R, Park M, Yin R, et al. (2025) AlphaFold and Docking Approaches for Antibody-Antigen and Other Targets: Insights From CAPRI Rounds 47-55. Proteins |
| Ribeiro-Filho HV, Jara GE, Guerra JVS, et al. (2024) Exploring the potential of structure-based deep learning approaches for T cell receptor design. Plos Computational Biology. 20: e1012489 |
| Lin V, Cheung M, Gowthaman R, et al. (2024) TCR3d 2.0: expanding the T cell receptor structure database with new structures, tools and interactions. Nucleic Acids Research |
| Ribeiro-Filho HV, Jara GE, Guerra JVS, et al. (2024) Exploring the Potential of Structure-Based Deep Learning Approaches for T cell Receptor Design. Biorxiv : the Preprint Server For Biology |
| Azzam T, Du JJ, Flowers MW, et al. (2024) Combinatorially restricted computational design of protein-protein interfaces to produce IgG heterodimers. Science Advances. 10: eadk8157 |
| Lensink MF, Brysbaert G, Raouraoua N, et al. (2023) Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment. Proteins |
| Yin R, Feng BY, Varshney A, et al. (2022) Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants. Protein Science : a Publication of the Protein Society. 31: e4379 |
| Lensink MF, Brysbaert G, Mauri T, et al. (2021) Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment. Proteins |
| Guest JD, Vreven T, Zhou J, et al. (2021) An expanded benchmark for antibody-antigen docking and affinity prediction reveals insights into antibody recognition determinants. Structure (London, England : 1993) |