J
Joanna Zhang
Researcher at Columbia University
Publications - 6
Citations - 170
Joanna Zhang is an academic researcher from Columbia University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 2, co-authored 3 publications receiving 16 citations.
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Journal ArticleDOI
Single-sequence protein structure prediction using a language model and deep learning
Ratul Chowdhury,Nazim Bouatta,Surojit Biswas,C. Floristean,Anant Kharkare,Koushik Roye,Charlotte Rochereau,Gustaf Ahdritz,Joanna Zhang,George M. Church,Peter K. Sorger,Mohammed AlQuraishi +11 more
TL;DR: An end-to-end differentiable recurrent geometric network that uses a protein language model (AminoBERT) to learn latent structural information from unaligned proteins and outperforms AlphaFold2 and RoseTTAFold on orphan proteins and classes of designed proteins while achieving up to a 106-fold reduction in compute time.
Journal ArticleDOI
A programmable encapsulation system improves delivery of therapeutic bacteria in mice
Tetsuhiro Harimoto,Jaeseung Hahn,Yu-Yu Chen,Jong Seong Im,Joanna Zhang,Nicholas Hou,Fang-fang Li,Courtney Coker,Kelsey E. Gray,Nicole Harr,Sreyan Chowdhury,Kelly Pu,Clare A. Nimura,Nicholas Arpaia,Kam W. Leong,Tal Danino +15 more
TL;DR: In this article , a genetically encoded microbial encapsulation system with tunable and dynamic expression of surface capsular polysaccharides was developed to enhance systemic delivery of living bacteria therapies for treating a broad array of cancers.
Journal ArticleDOI
Rapid screening of engineered microbial therapies in a 3D multicellular model
Tetsuhiro Harimoto,Zakary S. Singer,Oscar Velazquez,Joanna Zhang,Samuel Castro,Taylor E. Hinchliffe,William H. Mather,Tal Danino +7 more
TL;DR: A bacteria-in-spheroid coculture platform that enables parallel and long-term monitoring of engineered bacteria in multicellular spheroids and demonstrates high similarity between in vitro and in vivo results and shows broad applicability of the system with various bacterial species and cell types is developed.
Journal ArticleDOI
Publisher Correction: Single-sequence protein structure prediction using a language model and deep learning
Posted ContentDOI
Rapid screening of engineered microbial therapies in a 3-D multicellular model
Tetsuhiro Harimoto,Zakary S. Singer,Oscar Velazquez,Joanna Zhang,Samuel Castro,Taylor E. Hinchliffe,William H. Mather,Tal Danino +7 more
TL;DR: A bacteria-in-spheroid co-culture (BSCC) platform that simultaneously tests host species, therapeutic payloads and synthetic gene circuits of engineered bacteria within multicellular spheroids over a timescale of weeks to accelerate synthetic biology for clinical applications and understanding the host-microbe interactions in disease sites is presented.