| Evaluating protein engineering thermostability prediction tools using an independently generated dataset P Huang, SKS Chu, HN Frizzo, MP Connolly, RW Caster, JB Siegel ACS omega 5 (12), 6487-6493, 2020 | 64 | 2020 |
| Affordable membrane permeability calculations: permeation of short-chain alcohols through pure-lipid bilayers and a mammalian cell membrane CH Tse, J Comer, SK Sang Chu, Y Wang, C Chipot Journal of Chemical Theory and Computation 15 (5), 2913-2924, 2019 | 30 | 2019 |
| Structural plasticity enables evolution and innovation of RuBisCO assemblies AK Liu, JH Pereira, AJ Kehl, DJ Rosenberg, DJ Orr, SKS Chu, DM Banda, ... Science advances 8 (34), eadc9440, 2022 | 12 | 2022 |
| Predicting single-point mutational effect on protein stability SKS Chu, J Siegel B. Neural Information Processing Systems, Machine Learning for Structural …, 2021 | 4 | 2021 |
| Conditional Generation of Paired Antibody Chain Sequences through Encoder-Decoder Language Model SKS Chu, KY Wei Neural Information Processing Systems, Generative Biology workshop, https …, 2023 | 2* | 2023 |
| Protein Stability Prediction by Fine-tuning a Protein Language Model on a Mega-scale Dataset KS Chu, JB Siegel bioRxiv, 2023.11. 19.567747, 2023 | | 2023 |
| Simulated Mechanical and Electrical Properties of Three-Dimensional Protein Lattices R Baarda, SKS Chu, T Marianchuk, DL Cox Biophysical Journal 118 (3), 479a, 2020 | | 2020 |
| Rigid Rod Model for the Disordered Domains of Ribosomal Stalk Proteins P1P2 SKS Chu, Y Wang Biophysical Journal 114 (3), 48a, 2018 | | 2018 |
Justin Bloomfield SiegelAssociate Professor, UC DavisVerified email at ucdavis.edu
