Daniel Jesus Diaz
Daniel Jesus Diaz
Institute for Foundations of Machine Learning
Verified email at - Homepage
Cited by
Cited by
Machine learning-aided engineering of hydrolases for PET depolymerization
H Lu, DJ Diaz, NJ Czarnecki, C Zhu, W Kim, R Shroff, DJ Acosta, ...
Nature 604 (7907), 662-667, 2022
Discovery of novel gain-of-function mutations guided by structure-based deep learning
R Shroff, AW Cole, DJ Diaz, BR Morrow, I Donnell, A Annapareddy, ...
ACS synthetic biology 9 (11), 2927-2935, 2020
Improved Bst DNA Polymerase Variants Derived via a Machine Learning Approach
I Paik, PHT Ngo, R Shroff, DJ Diaz, AC Maranhao, DJF Walker, S Bhadra, ...
Biochemistry 62 (2), 410-418, 2021
Using machine learning to predict the effects and consequences of mutations in proteins
DJ Diaz, AV Kulikova, AD Ellington, CO Wilke
Current opinion in structural biology 78, 102518, 2023
Learning the local landscape of protein structures with convolutional neural networks
AV Kulikova, DJ Diaz, JM Loy, AD Ellington, CO Wilke
Journal of Biological Physics 47 (4), 435-454, 2021
GroovDB: A database of ligand-inducible transcription factors
S d’Oelsnitz, JD Love, DJ Diaz, AD Ellington
ACS Synthetic Biology 11 (10), 3534-3537, 2022
HotProtein: A novel framework for protein thermostability prediction and editing
T Chen*, C Gong*, DJ Diaz, X Chen, JT Wells, Q Liu, Z Wang, ...
International Conference of Learning Representations 2023, 2023
Stability Oracle: a structure-based graph-transformer for identifying stabilizing mutations
DJ Diaz, C Gong, J Ouyang-Zhang, JM Loy, J Wells, D Yang, AD Ellington, ...
BioRxiv, 2023.05. 15.540857, 2023
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme
S d’Oelsnitz, DJ Diaz, W Kim, DJ Acosta, TL Dangerfield, MW Schechter, ...
Nature Communications 15 (1), 2084, 2024
Asymmetric Synthesis of α-Chloroamides via Photoenzymatic Hydroalkylation of Olefins
Y Liu, SG Bender, D Sorigue, DJ Diaz, AD Ellington, G Mann, ...
Journal of the American Chemical Society 146 (11), 7191-7197, 2024
Two sequence-and two structure-based ML models have learned different aspects of protein biochemistry
AV Kulikova, DJ Diaz, T Chen, TJ Cole, AD Ellington, CO Wilke
Scientific Reports 13 (1), 13280, 2023
Predicting a Protein's Stability under a Million Mutations
J Ouyang-Zhang, DJ Diaz, AR Klivans, P Krähenbühl
37th Conference on Neural Information Processing Systems, 2023
Pushing Differential Sensing Further: The Next Steps in Design and Analysis of Bio‐Inspired Cross‐Reactive Arrays
HA Fargher, S d'Oelsnitz, DJ Diaz, EV Anslyn
Analysis & Sensing 3 (2), e202200095, 2023
Binding oracle: Fine-tuning from stability to binding free energy
C Gong, A Klivans, J Wells, J Loy, A Dimakis, D Diaz
NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023
Evolution-Inspired Loss Functions for Protein Representation Learning
C Gong, A Klivans, JM Loy, T Chen, Q Liu, DJ Diaz
Forty-first International Conference on Machine Learning, 2024
Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world
A Klivans, AG Dimakis, K Grauman, JI Tamir, DJ Diaz, K Davidson
AI Magazine 45 (1), 35-41, 2024
Recombinant proteins with increased solubility and stability
A Ellington, I Paik, A Maranhao, S Bhadra, D Walker, DJ Diaz, N Phuoc
US Patent US20240011000A1, 2024
Engineered human serine dehydratase enzymes and methods for treating cancer
E Stone, E Cayir, DJ Diaz, R Shroff
WO Patent WO2024006973A1, 2024
Leaf-branch compost cutinase mutants
H Lu, DJ Diaz, A Ellington, H Alper
WO Patent WO2023154690A2, 2023
Methods and compositions related to modified methyltransferases and engineered biosensors
A Ellington, DJ Diaz, S d'Oelsnitz
US Patent App. 63/493,065, 2023
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