School
School of Pharmacy
Department
Pharmaceutical Sciences
Office Location
White 325
Boston
Office Phone Office Phone: 617.732.2155
About
Dr. Tibo Duran is formally trained in Chemical Engineering and Pharmaceutical Sciences with pharmaceutical industrial experience in Genentech and Eli Lilly and Company. His research focuses on Computer-Aided Drug Discovery and Development using Molecular Dynamics Simulations, AI/Machine Learning, Multi-scale Computer Simulations, and Computational Fluid Dynamics in drug discovery and delivery.
Education
- Ph.D. University of Connecticut
- M.S. University of Dayton
Research Interests
- Computer-Aided Drug Discovery and Development
- All-atom and Coarse-grained Molecular Dynamics Simulations
- AI/Machine learning
- Multi-scale simulations
- Computational Fluid Dynamics
Education
- Ph.D. University of Connecticut
- M.S. University of Dayton
Research Interests
- Computer-Aided Drug Discovery and Development
- All-atom and Coarse-grained Molecular Dynamics Simulations
- AI/Machine learning
- Multi-scale simulations
- Computational Fluid Dynamics
Publications
- Duran, Tibo and Chaudhuri, B. (2024). Where might artificial intelligence be going in pharmaceutical development? Molecular Pharmaceutics, 21(3):993–995
- Liang, P.-Y., Huang, X., Duran, Tibo, Wiemer, A. J., and Bai, J. (2024). Exploring latent space for generating peptide analogs using protein language models. arXiv preprint arXiv:2408.08341
- Jividen, L., Duran, Tibo, Niu, X.-Z., and Bai, J. (2024). Uncovering the mechanism of hepatotoxiciy of pfas targeting l-fabp using gcn and computational modeling. arXiv preprint arXiv:2409.10370
- Duran, Tibo, Naik, S., Sharifi, L., DiLuzio, W. R., Chanda, A., and Chaudhuri, B. (2024b). Studying the ssDNA loaded adeno-associated virus aggregation using coarse-grained molecular dynamics simulations. International Journal of Pharmaceutics, 655:123985
- Duran, Tibo, Costa, A. P., Kneski, J., Xu, X., Burgess, D. J., Mohammadiarani, H., and Chaudhuri, B. (2024a). Manufacturing process of liposomal formation: A coarse-grained molecular dynamics simulation. International Journal of Pharmaceutics, page 124288
- Dhuri, K., Duran, Tibo, Chaudhuri, B., Slack, F. J., Vikram, A., Glazer, P. M., and Bahal, R. (2023). Head-to-head comparison of in vitro and in vivo efficacy of pHLIP-conjugated anti-seed gamma peptide nucleic acids. Cell Reports Physical Science, 4(10)
- Mehta, T., Mukherjee, R., Shah, A., Mastriani, T., Duran, Tibo, and Chaudhuri, B. (2023). Mitigation of turbocharging in pharmaceutical powders using surface-modified v-blenders.Pharmaceutical Research, 40(10):2371–2381
- Duran, Tibo, Costa, A., Gupta, A., Xu, X., Zhang, H., Burgess, D., and Chaudhuri, B.(2022a). Coarse-grained molecular dynamics simulations of paclitaxel-loaded polymericmicelles. Molecular Pharmaceutics, 19(4):1117–1134
- Duran, Tibo, Minatovicz, B., Bellucci, R., Bai, J., and Chaudhuri, B. (2022b). Molecular dynamics modeling based investigation of the effect of freezing rate on lysozyme stability. Pharmaceutical Research, 39(10):2585–2596
- Aziz, H., Sansare, S., Duran, Tibo, Gao, Y., and Chaudhuri, B. (2022). On the applicability of the coarse grained coupled CFD-DEM model to predict the heat transfer during the fluidized bed drying of pharmaceutical granules. Pharmaceutical Research, 39(9):1991–2003
- Duran, Tibo, Minatovicz, B., Bai, J., Shin, D., Mohammadiarani, H., and Chaudhuri, B. (2021b). Molecular dynamics simulation to uncover the mechanisms of protein instability during freezing. Journal of Pharmaceutical Sciences, 110(6):2457–2471
- Sansare, S., Duran, Tibo, Mohammadiarani, H., Goyal, M., Yenduri, G., Costa, A., Xu, X., O’Connor, T., Burgess, D., and Chaudhuri, B. (2021). Artificial neural networks in tandem with molecular descriptors as predictive tools for continuous liposome manufacturing. International Journal of Pharmaceutics, 603:120713
- Choi, Y. K., Duran, Tibo, and Im, W. (2019). CHARMM-GUI synthetic polymer modeler for modeling and simulation of synthetic polymers. Biophysical Journal, 116(3):572a