Awesome Protein Representation Learning

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

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

Multi-task and masked language model-based protein sequence embedding models.

Published in PLOS ONE. Phage-host interaction prediction tool that uses protein language models to represent the receptor-binding proteins of phages. It presents improvements over using handcrafted sequence properties and eliminates the need to manually extract and select features from phage sequences

Code for Binding Affinity Prediction with Graph Neural Networks

Simple python interface for the OpenProtein.AI REST API.