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

ACS synthetic biology - 15 Dec 2023

Praljak Nikša, Lian Xinran, Ranganathan Rama, Ferguson Andrew L

Abstract excerpt

Deep generative models (DGMs) have shown great success in the understanding and data-driven design of proteins. Variational autoencoders (VAEs) are a popular DGM approach that can learn the correlated patterns of amino acid mutations within a multiple sequence alignment (MSA) of protein sequences and distill this information into a low-dimensional latent space to expose phylogenetic and functional relationships...

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Identifiers

PMID: 37988083
DOI: 10.1021/acssynbio.3c00261
PMCID: PMC10911954

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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