Daniel J Diaz

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Crystal Structure

Top Venues

Nature communications

Journal of biological physics

bioRxiv : the preprint server for biology

This page only lists publications with an associated author ORCID identifier.

Publications

Daniel J Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang, James M Loy, Jordan Wells, David Yang, Andrew D Ellington, Alexandros G Dimakis, Adam R Klivans
Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations. Nature communications 15 (1) (2024)
Simon D'Oelsnitz, Daniel J Diaz, Wantae Kim, Daniel J Acosta, Tyler L Dangerfield, Mason W Schechter, Matthew B Minus, James R Howard, Hannah Do, James M Loy, Hal S Alper, Yan Jessie Zhang, Andrew D Ellington
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme. Nature communications 15 (1) (2024)
Daniel J Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang, James M Loy, Jordan Wells, David Yang, Andrew D Ellington, Alexandros G Dimakis, Adam R Klivans
Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations. Nature communications 15 (1) (2024)
Daniel J Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang, James M Loy, Jordan Wells, David Yang, Andrew D Ellington, Alexandros G Dimakis, Adam R Klivans
Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations. Nature communications 15 (1) (2024)
Simon D'Oelsnitz, Daniel J Diaz, Wantae Kim, Daniel J Acosta, Tyler L Dangerfield, Mason W Schechter, Matthew B Minus, James R Howard, Hannah Do, James M Loy, Hal S Alper, Yan Jessie Zhang, Andrew D Ellington
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme. Nature communications 15 (1) (2024)
Simon D'Oelsnitz, Daniel J Diaz, Wantae Kim, Daniel J Acosta, Tyler L Dangerfield, Mason W Schechter, Matthew B Minus, James R Howard, Hannah Do, James M Loy, Hal S Alper, Yan Jessie Zhang, Andrew D Ellington
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme. Nature communications 15 (1) (2024)
Simon D'Oelsnitz, Daniel J Diaz, Wantae Kim, Daniel J Acosta, Tyler L Dangerfield, Mason W Schechter, Matthew B Minus, James R Howard, Hannah Do, James M Loy, Hal S Alper, Yan Jessie Zhang, Andrew D Ellington
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme. Nature communications 15 (1) (2024)
Anastasiya V Kulikova, Daniel J Diaz, Tianlong Chen, T Jeffrey Cole, Andrew D Ellington, Claus O Wilke
Sequence and structure based deep learning models represent different aspects of protein biochemistry. bioRxiv : the preprint server for biology (2023)
Hongyuan Lu, Daniel J Diaz, Natalie J Czarnecki, Congzhi Zhu, Wantae Kim, Raghav Shroff, Daniel J Acosta, Bradley R Alexander, Hannah O Cole, Yan Jessie Zhang, Nathaniel A Lynd, Andrew D Ellington, Hal S Alper
Machine learning-aided engineering of hydrolases for PET depolymerization. Nature 604 (7907) (2022)
Anastasiya V Kulikova, Daniel J Diaz, James M Loy, Andrew D Ellington, Claus O Wilke
Learning the local landscape of protein structures with convolutional neural networks. Journal of biological physics 47 (4) (2021)