Using word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transporters - ScienceDirect
Deep neural network architecture. Given an input amino acid sequence,... | Download Scientific Diagram
Learning the language of proteins
![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
Adaptive GDDA-BLAST: Fast and Efficient Algorithm for Protein Sequence Embedding | PLOS ONE
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding | BMC Bioinformatics | Full Text
![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-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map | Journal of Cheminformatics | Full Text
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space | Scientific Reports
Frontiers | Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model
Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence | bioRxiv
Molecule generator network is defined by combining LSTM model and... | Download Scientific Diagram
![PDF] Adaptive BLASTing through the Sequence Dataspace: Theories on Protein Sequence Embedding | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/b44a1b7d5ac90293e2360af74b3f842367b16179/4-Figure1-1.png "PDF] Adaptive BLASTing through the Sequence Dataspace: Theories on Protein Sequence Embedding | Semantic Scholar")
PDF] Adaptive BLASTing through the Sequence Dataspace: Theories on Protein Sequence Embedding | Semantic Scholar
Can We Learn the Language of Proteins? – The Berkeley Artificial Intelligence Research Blog
Deep embedding and alignment of protein sequences | Nature Methods
Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network - ScienceDirect
Modeling aspects of the language of life through transfer-learning protein sequences | BMC Bioinformatics | Full Text
![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
LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction | Scientific Reports
Learning the molecular grammar of protein condensates from sequence determinants and embeddings | PNAS
![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]
Improving protein succinylation sites prediction using embeddings from protein language model | Scientific Reports
