
Assistant Professor of Biomedical Engineering
Appointments and Affiliations
- Assistant Professor of Biomedical Engineering
- Assistant Professor in Biostatistics & Bioinformatics
- Assistant Professor of Computer Science
- Member of the Duke Cancer Institute
Contact Information
- Office Location: 101 Science Drive, CIEMAS 2353A, Durham, NC 27705
- Email Address: pranam.chatterjee@duke.edu
- Websites:
Education
- Ph.D. Massachusetts Institute of Technology, 2020
Research Interests
Integration of computational and experimental methodologies to design novel proteins for applications in genome editing, targeted protein modulation, and reproductive bioengineering
Courses Taught
- EGR 393: Research Projects in Engineering
- COMPSCI 590: Advanced Topics in Computer Science
- COMPSCI 394: Research Independent Study
- COMPSCI 393: Research Independent Study
- BME 791: Graduate Independent Study
- BME 789: Internship in Biomedical Engineering
- BME 590: Special Topics in Biomedical Engineering
- BME 494: Projects in Biomedical Engineering (GE)
- BME 493: Projects in Biomedical Engineering (GE)
- BME 390L: Special Topics with a Lab
In the News
Representative Publications
- Vincoff, Sophia, Shrey Goel, Kseniia Kholina, Rishab Pulugurta, Pranay Vure, and Pranam Chatterjee. “FusOn-pLM: a fusion oncoprotein-specific language model via adjusted rate masking.” Nature Communications 16, no. 1 (February 7, 2025). https://doi.org/10.1038/s41467-025-56745-6.
- Torres, Marcelo D. T., Tianlai Chen, Fangping Wan, Pranam Chatterjee, and Cesar de la Fuente-Nunez. “Generative latent diffusion language modeling yields anti-infective synthetic peptides.” Cold Spring Harbor Laboratory, February 1, 2025. https://doi.org/10.1101/2025.01.31.636003.
- Bhat, Suhaas, Kalyan Palepu, Lauren Hong, Joey Mao, Tianzheng Ye, Rema Iyer, Lin Zhao, et al. “De novo design of peptide binders to conformationally diverse targets with contrastive language modeling.” Science Advances 11, no. 4 (January 2025): eadr8638. https://doi.org/10.1126/sciadv.adr8638.
- Chen, Tong, and Pranam Chatterjee. “Synergizing sequence and structure representations to predict protein variants.” Cell Research 34, no. 9 (September 2024): 597–98. https://doi.org/10.1038/s41422-024-01010-6.
- Hong, Lauren, Tianzheng Ye, Tian Zi Wang, Divya Srijay, Lin Zhao, Rio Watson, Sophia Vincoff, et al. “Programmable Protein Stabilization with Language Model-Derived Peptide Guides.” In Res Sq, 2024. https://doi.org/10.21203/rs.3.rs-4670386/v1.