protein-representation-learning topic

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

tbepler

Awesome Protein Representation Learning

LirongWu

Multi-Scale Representation Learning on Proteins (NeurIPS 2021)

vsomnath

GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

DeepGraphLearning

ProtFlash: A lightweight protein language model

ISYSLAB-HUST

Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"

LirongWu

Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)

DeepGraphLearning

Protein Structure Transformer (PST): Endowing pretrained protein language models with structural knowledge

BorgwardtLab

Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models

HySonLab

Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction"

LirongWu