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Papers
Training Compute-Optimal Protein Language Models
NeurIPS 2024
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
NeurIPS 2023
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract)
AAAI 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
ICML 2023
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
ICLR 2022
Biological Sequence Design with GFlowNets
ICML 2022
Hashing2Vec: Fast Embedding Generation for
SARS-CoV-2 Spike Sequence Classification
ACML 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
NeurIPS 2022
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
MLHC 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
ICML 2021
Learning protein sequence embeddings using information from structure
ICLR 2019
Predicting the Geometry of Metal Binding Sites from Protein Sequence
NeurIPS 2008
Fast String Kernels using Inexact Matching for Protein Sequences
JMLR 2004