SaprotHub: Making Protein Modeling Accessible to All Biologists

PrimaryOdors.org molecular docker.

A Deep Learning Toolkit for Protein Property Prediction, Localization Prediction, Protein-Protein Interaction, antigen epitope prediction, antibody paratope prediction, antibody developability prediction, etc. [NeurIPS 2024 AIDrugX Spotlight]

Predicting protein functions using positive-unlabeled ranking with ontology-based priors

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.

protein graph representation

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).

A Python tool for predicting protein functions by associating domains with Gene Ontology terms using existing domain and GO annotation data

🌱🌟 My Personal Portfolio 🌟🌱

A package to annotate protein sequences

Feature map and function annotation of Proteins

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Protein function prediction through latent tensor reconstruction

Integrating multimodal data through heterogeneous ensembles

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.