Xinran Lian

ProtWave-VAE: Integrating autoregressive sampling with latent-based inference for data-driven protein design

This paper introduces ProtWave-VAE, a generative model combining VAE and autoregressive methods for protein design, showing it can infer functional patterns and generate synthetic proteins with experimental validation.

Deep learning-enabled design of synthetic orthologs of a signaling protein

This study uses deep generative models to design synthetic SH3 domains functional in yeast stress signaling, showing a VAE can recapitulate natural function and classify orthologs by phylogeny and function.