Awesome Protein Representation Learning
-
Updated
Nov 16, 2024
Awesome Protein Representation Learning
GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
ProtFlash: A lightweight protein language model
Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
Protein Structure Transformer (PST): Endowing pretrained protein language models with structural knowledge
Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction"
Add a description, image, and links to the protein-representation-learning topic page so that developers can more easily learn about it.
To associate your repository with the protein-representation-learning topic, visit your repo's landing page and select "manage topics."