Saprothub: Making protein modeling accessible to all biologists
Training and deploying deep learning models pose challenges for users without machine
learning (ML) expertise. SaprotHub offers a user-friendly platform that democratizes the …
learning (ML) expertise. SaprotHub offers a user-friendly platform that democratizes the …
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
Recent years have witnessed rapid advances in graph representation learning, with the
continuous embedding approach emerging as the dominant paradigm. However, such …
continuous embedding approach emerging as the dominant paradigm. However, such …
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba
Efficient encoding and representation of large 3D molecular structures with high fidelity is
critical for biomolecular design applications. Despite this, many representation learning …
critical for biomolecular design applications. Despite this, many representation learning …
Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure
Existing protein machine learning representations typically model either the sequence or
structure distribution, with the other modality implicit. The latent space of sequence-to …
structure distribution, with the other modality implicit. The latent space of sequence-to …