SaprotHub: Making Protein Modeling Accessible to All Biologists
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Updated
Jun 1, 2024 - Python
SaprotHub: Making Protein Modeling Accessible to All Biologists
PrimaryOdors.org molecular docker.
Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.
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
🌱🌟 My Personal Portfolio 🌟🌱
Domain-PFP is a self-supervised method to predict protein functions from the domains
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
🧬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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