Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.
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Updated
Jun 10, 2024 - Python
Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
SaprotHub: Making Protein Modeling Accessible to All Biologists
PrimaryOdors.org molecular docker.
Protein function prediction through latent tensor reconstruction
molecular graph representation
Predicting protein functions using positive-unlabeled ranking with ontology-based priors
Assigns short human readable descriptions to biological sequences or gene families using references. For this, prot-scriber consumes sequence similarity search results in tabular format (Blast or Diamond).
Feature map and function annotation of Proteins
Integrating multimodal data through heterogeneous ensembles
A package to annotate protein sequences
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Domain-PFP is a self-supervised method to predict protein functions from the domains
🧬Protein Functions Prediction through Amino Acids Sequences🧬
An efficient attention-based approach for Protein Function Prediction using skip-gram features. Proposing two novel approaches, namely, OntoPred and OntoPredPlus capable to annotate protein sequences accurately.
Benchmarking uncertainty quantification methods on proteins.
Multi-label protein function annotation
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
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