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Nature Microbiology
|
June 2, 2023
Gaming bacterial metabolism
Jacqueline A Valeri, Aarti Krishnan, James J Collins
Molecular Cell
|
June 21, 2024
A high-throughput synthetic biology approach for studying combinatorial chromatin-based transcriptional regulation
Miguel A Alcantar, Max A English, Jacqueline A Valeri, et al.
Nature Communications
|
October 8, 2020
Sequence-to-function deep learning frameworks for engineered riboregulators
Jacqueline A Valeri, Katherine M Collins, Pradeep Ramesh, et al.
Cell Systems
|
June 22, 2023
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences
Jacqueline A Valeri, Luis R Soenksen, Katherine M Collins, et al.
Nature Biomedical Engineering
|
April 15, 2020
A CRISPR-based assay for the detection of opportunistic infections post-transplantation and for the monitoring of transplant rejection
Michael M Kaminski, Miguel A Alcantar, Isadora T Lape, et al.
Cell Chemical Biology
|
November 29, 2023
Discovery of antibiotics that selectively kill metabolically dormant bacteria
Erica J Zheng, Jacqueline A Valeri, Ian W Andrews, et al.
Nature
|
December 20, 2023
Discovery of a structural class of antibiotics with explainable deep learning
Felix Wong, Erica J Zheng, Jacqueline A Valeri, et al.
Science Translational Medicine
|
June 17, 2026
Deep learning-enabled discovery of antibiotics effective against <i>Neisseria gonorrhoeae</i>
Melis N Anahtar, Jacqueline A Valeri, Seyed Majed Modaresi, et al.
Cell
|
August 15, 2025
A generative deep learning approach to de novo antibiotic design
Aarti Krishnan, Melis N Anahtar, Jacqueline A Valeri, et al.
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Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Nature Microbiology
|
June 2, 2023
Gaming bacterial metabolism
Jacqueline A Valeri, Aarti Krishnan, James J Collins
Molecular Cell
|
June 21, 2024
A high-throughput synthetic biology approach for studying combinatorial chromatin-based transcriptional regulation
Miguel A Alcantar, Max A English, Jacqueline A Valeri, et al.
Nature Communications
|
October 8, 2020
Sequence-to-function deep learning frameworks for engineered riboregulators
Jacqueline A Valeri, Katherine M Collins, Pradeep Ramesh, et al.
Cell Systems
|
June 22, 2023
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences
Jacqueline A Valeri, Luis R Soenksen, Katherine M Collins, et al.
Nature Biomedical Engineering
|
April 15, 2020
A CRISPR-based assay for the detection of opportunistic infections post-transplantation and for the monitoring of transplant rejection
Michael M Kaminski, Miguel A Alcantar, Isadora T Lape, et al.
Cell Chemical Biology
|
November 29, 2023
Discovery of antibiotics that selectively kill metabolically dormant bacteria
Erica J Zheng, Jacqueline A Valeri, Ian W Andrews, et al.
Nature
|
December 20, 2023
Discovery of a structural class of antibiotics with explainable deep learning
Felix Wong, Erica J Zheng, Jacqueline A Valeri, et al.
Science Translational Medicine
|
June 17, 2026
Deep learning-enabled discovery of antibiotics effective against <i>Neisseria gonorrhoeae</i>
Melis N Anahtar, Jacqueline A Valeri, Seyed Majed Modaresi, et al.
Cell
|
August 15, 2025
A generative deep learning approach to de novo antibiotic design
Aarti Krishnan, Melis N Anahtar, Jacqueline A Valeri, et al.
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of 1