ProtWave-VAE: Integrating Autoregressive Sampling with Latent-Based Inference for Data-Driven Protein Design-Reference-Cited by-同舟云学术

ProtWave-VAE: Integrating Autoregressive Sampling with Latent-Based Inference for Data-Driven Protein Design

Published:2023-11-21 Issue:12 Volume:12 Page:3544-3561
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Praljak Nikša¹,Lian Xinran²,Ranganathan Rama³⁴,Ferguson Andrew L.⁴^ORCID

Affiliation:

1. Graduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois 60637, United States

2. Department of Chemistry, University of Chicago, Chicago, Illinois 60637, United States

3. Center for Physics of Evolving Systems and Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois 60637, United States

4. Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States

Funder

National Science Foundation

Camille and Henry Dreyfus Foundation

University of Chicago

U.S. Department of Health and Human Services

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.3c00261

Reference64 articles.

1. Protein sequence design with deep generative models

2. 100th Anniversary of Macromolecular Science Viewpoint: Data-Driven Protein Design

3. Protein design via deep learning

4. Data-driven computational protein design

5. Deep Dive into Machine Learning Models for Protein Engineering

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