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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
Sequence Embedding for Clustering and Classification | by Chitta Ranjan | Towards Data Science

Deep Dive into Machine Learning Models for Protein Engineering | Journal of  Chemical Information and Modeling
Deep Dive into Machine Learning Models for Protein Engineering | Journal of Chemical Information and Modeling

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

Graph-based prediction of Protein-protein interactions with attributed  signed graph embedding | BMC Bioinformatics | Full Text
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding | BMC Bioinformatics | Full Text

Learning the language of proteins
Learning the language of proteins

Learned protein embeddings for machine learning. - Abstract - Europe PMC
Learned protein embeddings for machine learning. - Abstract - Europe PMC

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]

Applied Sciences | Free Full-Text | Identification of Thermophilic Proteins  Based on Sequence-Based Bidirectional Representations from Transformer- Embedding Features
Applied Sciences | Free Full-Text | Identification of Thermophilic Proteins Based on Sequence-Based Bidirectional Representations from Transformer- Embedding Features

Biomolecules | Free Full-Text | EmbedDTI: Enhancing the Molecular  Representations via Sequence Embedding and Graph Convolutional Network for  the Prediction of Drug-Target Interaction
Biomolecules | Free Full-Text | EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction

Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a  unified metric space | Scientific Reports
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space | Scientific Reports

Improving protein succinylation sites prediction using embeddings from  protein language model | Scientific Reports
Improving protein succinylation sites prediction using embeddings from protein language model | Scientific Reports

Overall schema for extracting the local patterns from the whole protein...  | Download Scientific Diagram
Overall schema for extracting the local patterns from the whole protein... | Download Scientific Diagram

Deep embedding and alignment of protein sequences | Nature Methods
Deep embedding and alignment of protein sequences | Nature Methods

Embeddings from protein language models predict conservation and variant  effects | SpringerLink
Embeddings from protein language models predict conservation and variant effects | SpringerLink

Structure-based protein function prediction using graph convolutional  networks | Nature Communications
Structure-based protein function prediction using graph convolutional networks | Nature Communications

Structure-aware protein solubility prediction from sequence through graph  convolutional network and predicted contact map | Journal of  Cheminformatics | Full Text
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
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
Adaptive GDDA-BLAST: Fast and Efficient Algorithm for Protein Sequence Embedding | PLOS ONE

PDF] Learning protein sequence embeddings using information from structure  | Semantic Scholar
PDF] Learning protein sequence embeddings using information from structure | Semantic Scholar

Modeling aspects of the language of life through transfer-learning protein  sequences | BMC Bioinformatics | Full Text
Modeling aspects of the language of life through transfer-learning protein sequences | BMC Bioinformatics | Full Text

Artificial intelligence method to design and fold alpha-helical structural  proteins from the primary amino acid sequence | bioRxiv
Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence | bioRxiv

The language of proteins: NLP, machine learning & protein sequences -  ScienceDirect
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect

Sequence embedding method in PhaTYP. The block in "Protein Sentence"... |  Download Scientific Diagram
Sequence embedding method in PhaTYP. The block in "Protein Sentence"... | Download Scientific Diagram

Can We Learn the Language of Proteins? – The Berkeley Artificial  Intelligence Research Blog
Can We Learn the Language of Proteins? – The Berkeley Artificial Intelligence Research Blog

Learning the molecular grammar of protein condensates from sequence  determinants and embeddings | PNAS
Learning the molecular grammar of protein condensates from sequence determinants and embeddings | PNAS

Learning meaningful representations of protein sequences | Nature  Communications
Learning meaningful representations of protein sequences | Nature Communications

Deep neural network architecture. Given an input amino acid sequence,... |  Download Scientific Diagram
Deep neural network architecture. Given an input amino acid sequence,... | Download Scientific Diagram

LM-GVP: an extensible sequence and structure informed deep learning  framework for protein property prediction | Scientific Reports
LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction | Scientific Reports