Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map | Journal of Cheminformatics | Full Text
Sequence Embedding for Clustering and Classification | by Chitta Ranjan | Towards Data Science
Frontiers | Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model
Application of Sequence Embedding in Protein Sequence-Based Predictions
Learning the molecular grammar of protein condensates from sequence determinants and embeddings | PNAS
Deep Dive into Machine Learning Models for Protein Engineering | Journal of Chemical Information and Modeling
![PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3637fcccc758786ae1c6529ab22fe85ea98e9c36/2-Figure1-1.png "PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar")
PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar
Sequence Embedding for Clustering and Classification | by Chitta Ranjan | Towards Data Science
Applied Sciences | Free Full-Text | Identification of Thermophilic Proteins Based on Sequence-Based Bidirectional Representations from Transformer- Embedding Features
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
Biomolecules | Free Full-Text | EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction
Learning meaningful representations of protein sequences | Nature Communications
Adaptive GDDA-BLAST: Fast and Efficient Algorithm for Protein Sequence Embedding | PLOS ONE
Deep neural network architecture. Given an input amino acid sequence,... | Download Scientific Diagram
Modeling aspects of the language of life through transfer-learning protein sequences | BMC Bioinformatics | Full Text
Overall schema for extracting the local patterns from the whole protein... | Download Scientific Diagram
LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction | Scientific Reports
![An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2019/7126/1/fig-3-2x.jpg "An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]")
An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]
Structure-based protein function prediction using graph convolutional networks | Nature Communications
Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network - ScienceDirect
The 4-step flowchart demonstrating our method for using word embedding... | Download Scientific Diagram
![An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2019/7126/1/fig-2-2x.jpg "An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]")
An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]
Learning the language of proteins
Can We Learn the Language of Proteins? – The Berkeley Artificial Intelligence Research Blog
![PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3637fcccc758786ae1c6529ab22fe85ea98e9c36/13-Figure2-1.png "PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar")
PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar
Deep embedding and alignment of protein sequences | Nature Methods
