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Machine learning modeling of family wide enzyme-substrate specificity screens

PLoS computational biology, 2022-02, Vol.18 (2), p.e1009853-e1009853

2022

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Learned protein embeddings for machine learning

Bioinformatics, 2018-08, Vol.34 (15), p.2642-2648

2018

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Deep self-supervised learning for biosynthetic gene cluster detection and product classification

PLoS computational biology, 2023-05, Vol.19 (5), p.e1011162-e1011162

2023

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Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization

PLoS computational biology, 2017-10, Vol.13 (10), p.e1005786-e1005786

2017

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A topological data analytic approach for discovering biophysical signatures in protein dynamics

PLoS computational biology, 2022-05, Vol.18 (5), p.e1010045-e1010045

2022

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Protein structure generation via folding diffusion

Nature communications, 2024-02, Vol.15 (1), p.1059-1059, Article 1059

2024

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Structure-guided SCHEMA recombination generates diverse chimeric channelrhodopsins

Proceedings of the National Academy of Sciences - PNAS, 2017-03, Vol.114 (13), p.E2624-E2633

2017

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Protein sequence design with deep generative models

Current opinion in chemical biology, 2021-12, Vol.65, p.18-27

2021

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Adaptive machine learning for protein engineering

Current opinion in structural biology, 2022-02, Vol.72, p.145-152

2022

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Peyronie's Disease and Injectable Collagenase Clostridium histolyticum : Safety, Efficacy, and Improvements in Subjective Symptoms

Urology (Ridgewood, N.J.), 2016-08, Vol.94, p.143-147

2016

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Illuminating enzyme design using deep learning

Nature chemistry, 2023-06, Vol.15 (6), p.749

2023

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Robot-assisted distal ureteral reconstruction for benign pathology: Current state

Investigative and Clinical Urology, 2020, 61(0), , pp.23-32

2020

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Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

Nature methods, 2019-11, Vol.16 (11), p.1176

2019

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Minimally-Invasive Ureteral Reconstruction for Ureteral Complications of Kidney Transplants

Urology (Ridgewood, N.J.), 2019-04, Vol.126, p.227-231

2019

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Masked inverse folding with sequence transfer for protein representation learning

Protein engineering, design and selection, 2023-01, Vol.36

2023

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Computational scoring and experimental evaluation of enzymes generated by neural networks

Nature biotechnology, 2024-04, Vol.In Press

2024

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Author Correction: Computational scoring and experimental evaluation of enzymes generated by neural networks

Nature biotechnology, 2024-05

2024

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Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins

Cell systems, 2022-04, Vol.13 (4), p.274-285.e6

2022

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Learned protein embeddings for machine learning

Bioinformatics, 2018-12, Vol.34 (23), p.4138-4138

2018

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Randomized gates eliminate bias in sort‐seq assays

Protein science, 2022-09, Vol.31 (9), p.n/a

2022

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Signal Peptides Generated by Attention-Based Neural Networks

ACS synthetic biology, 2020-08, Vol.9 (8), p.2154-2161

2020

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Convolutions are competitive with transformers for protein sequence pretraining

Cell systems, 2024-03, Vol.15 (3), p.286-294.e2

2024

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Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets

Current protocols, 2021-05, Vol.1 (5), p.e113-n/a

2021

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Robot-Assisted Laparoscopic Distal Ureteroureterostomy for Distal Benign Ureteral Strictures with Long-Term Follow-Up

Journal of endourology, 2022-02, Vol.36 (2), p.203

2022

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From noise to protein with image models

Nature Computational Science, 2023-05, Vol.3 (5), p.366

2023

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Machine learning modeling of family wide enzyme-substrate specificity screens

Learned protein embeddings for machine learning

Deep self-supervised learning for biosynthetic gene cluster detection and product classification

Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization

A topological data analytic approach for discovering biophysical signatures in protein dynamics

Protein structure generation via folding diffusion

Structure-guided SCHEMA recombination generates diverse chimeric channelrhodopsins

Protein sequence design with deep generative models

Adaptive machine learning for protein engineering

Peyronie's Disease and Injectable Collagenase Clostridium histolyticum : Safety, Efficacy, and Improvements in Subjective Symptoms

Illuminating enzyme design using deep learning

Robot-assisted distal ureteral reconstruction for benign pathology: Current state

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

Minimally-Invasive Ureteral Reconstruction for Ureteral Complications of Kidney Transplants

Masked inverse folding with sequence transfer for protein representation learning

Computational scoring and experimental evaluation of enzymes generated by neural networks

Author Correction: Computational scoring and experimental evaluation of enzymes generated by neural networks

Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins

Learned protein embeddings for machine learning

Randomized gates eliminate bias in sort‐seq assays

Signal Peptides Generated by Attention-Based Neural Networks

Convolutions are competitive with transformers for protein sequence pretraining

Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets

Robot-Assisted Laparoscopic Distal Ureteroureterostomy for Distal Benign Ureteral Strictures with Long-Term Follow-Up

From noise to protein with image models

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