| Sparks of function by de novo protein design AE Chu, T Lu, PS Huang Nature biotechnology 42 (2), 203-215, 2024 | 40 | 2024 |
| ELASPIC2 (EL2): combining contextualized language models and graph neural networks to predict effects of mutations A Strokach, TY Lu, PM Kim Journal of molecular biology 433 (11), 166810, 2021 | 38 | 2021 |
| Geometric deep learning for structure-based ligand design AS Powers, HH Yu, P Suriana, RV Koodli, T Lu, JM Paggi, RO Dror ACS Central Science 9 (12), 2257-2267, 2023 | 28 | 2023 |
| Random embeddings and linear regression can predict protein function T Lu, AX Lu, AM Moses arXiv preprint arXiv:2104.14661, 2021 | 6 | 2021 |
| ESM all-atom: multi-scale protein language model for unified molecular modeling K Zheng, S Long, T Lu, J Yang, X Dai, M Zhang, Z Nie, WY Ma, H Zhou arXiv preprint arXiv:2403.12995, 2024 | 3 | 2024 |
| Multi-scale protein language model for unified molecular modeling K Zheng, S Long, T Lu, J Yang, X Dai, M Zhang, Z Nie, WY Ma, H Zhou bioRxiv, 2024.03. 04.583284, 2024 | 1 | 2024 |
| Assessing Generative Model Coverage of Protein Structures with SHAPES T Lu, M Liu, Y Chen, J Kim, PS Huang bioRxiv, 2025.01. 09.632260, 2025 | | 2025 |
| Synthetic biology education and pedagogy: a review of evolving practices in a growing discipline J Menard, P Diep, F Sheikh, A Escobar, CB Dykstra, VA Sajtovich, ... Frontiers in Education 9, 1441720, 2024 | | 2024 |
| dynUGENE: an R package for uncertainty-aware gene regulatory network inference, simulation, and visualization T Lu, A Silva bioRxiv, 2021.01. 07.425782, 2021 | | 2021 |