4 papers
PepEDiff: Zero-Shot Peptide Binder Design via Protein Embedding Diffusion
Po-Yu Liang, Tibo Duran, Jun Bai
We present PepEDiff, a novel peptide binder generator that designs binding sequences given a target receptor protein sequence and its pocket residues. Peptide binder generation is…
Accelerate Creation of Product Claims Using Generative AI
Po-Yu Liang, Yong Zhang, Tatiana Hwa +1
The benefit claims of a product is a critical driver of consumers' purchase behavior. Creating product claims is an intense task that requires substantial time and funding. We have…
E(3)-invariant diffusion model for pocket-aware peptide generation
Po-Yu Liang, Jun Bai
Biologists frequently desire protein inhibitors for a variety of reasons, including use as research tools for understanding biological processes and application to societal problem…
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
Po-Yu Liang, Xueting Huang, Tibo Duran +2
Generating peptides with desired properties is crucial for drug discovery and biotechnology. Traditional sequence-based and structure-based methods often require extensive datasets…