Po-Ssu Huang, Ph.D.
Affiliations: | 2004 | California Institute of Technology, Pasadena, CA |
Area:
Structural BiologyGoogle:
"Po-Ssu Huang"Mean distance: 8.31
Parents
Sign in to add mentor| Stephen L. Mayo | grad student | 2004 | Caltech | |
| (Computational design and experimental characterization of protein oligomers.) | ||||
| David Baker | post-doc | 2006-2011 | University of Washington | |
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Publications
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| Lu T, Liu M, Chen Y, et al. (2025) Assessing Generative Model Coverage of Protein Structures with SHAPES. Biorxiv : the Preprint Server For Biology |
| Du H, Mallik L, Hwang D, et al. (2024) Targeting peptide antigens using a multiallelic MHC I-binding system. Nature Biotechnology |
| Chu AE, Kim J, Cheng L, et al. (2024) An all-atom protein generative model. Proceedings of the National Academy of Sciences of the United States of America. 121: e2311500121 |
| Chu AE, Lu T, Huang PS. (2024) Sparks of function by de novo protein design. Nature Biotechnology. 42: 203-215 |
| Westberg M, Song D, Duong V, et al. (2023) Photoswitchable binders enable temporal dissection of endogenous protein function. Biorxiv : the Preprint Server For Biology |
| Chu AE, Cheng L, El Nesr G, et al. (2023) An all-atom protein generative model. Biorxiv : the Preprint Server For Biology |
| Chu AE, Fernandez D, Liu J, et al. (2022) De Novo Design of a Highly Stable Ovoid TIM Barrel: Unlocking Pocket Shape towards Functional Design. Biodesign Research. 2022: 9842315 |
| Eguchi RR, Choe CA, Huang PS. (2022) Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation. Plos Computational Biology. 18: e1010271 |
| Ren J, Chu AE, Jude KM, et al. (2022) Interleukin-2 superkines by computational design. Proceedings of the National Academy of Sciences of the United States of America. 119: e2117401119 |
| Anand N, Eguchi R, Mathews II, et al. (2022) Protein sequence design with a learned potential. Nature Communications. 13: 746 |