GitHub topics: protein-embedding
OpenProteinAI/openprotein-python
Simple python interface for the OpenProtein.AI REST API.
Language: Python - Size: 14.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 9 - Forks: 0

LirongWu/awesome-protein-representation-learning
Awesome Protein Representation Learning
Size: 284 KB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 659 - Forks: 73

bioinfodlsu/PHIStruct
Published in Bioinformatics. Phage-host interaction prediction tool that incorporates protein structure information in representing receptor-binding proteins (RBPs). It improves performance especially for phages with RBPs that have low sequence similarity to those of known phages
Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 4 - Forks: 0

LirongWu/MAPE-PPI
Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
Language: Python - Size: 6.81 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 258 - Forks: 45

tbepler/protein-sequence-embedding-iclr2019
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
Language: Python - Size: 50.8 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 260 - Forks: 75

tbepler/prose
Multi-task and masked language model-based protein sequence embedding models.
Language: Python - Size: 227 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 100 - Forks: 20

pengkenlim/CxNE_plants
Generation Co-expression Network Embeddings (CxNEs) for plant genes using Graph Attention Networks (GAT))
Language: Python - Size: 178 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

bioinfodlsu/phage-host-prediction
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
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 10 - Forks: 2
