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

Protein function prediction using a variational autoencoder

[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

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

DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction

SaprotHub: Making Protein Modeling Accessible to All Biologists

Feature map and function annotation of Proteins

A package to annotate protein sequences

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

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).

Improving protein function prediction with synthetic feature samples created by generative adversarial networks

Integrating multimodal data through heterogeneous ensembles

Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

PrimaryOdors.org molecular docker.

Protein function prediction based on protein-protein interaction network topology and deep maxout neural networks

Classification of protein function based on their sequences with Artificial Neural Networks

Multi-label protein function annotation

This repository contains the FPredX models for the prediction of excitation maximum, emission maximum, brightness and oligomeric state of fluorescent proteins.

Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required.we expect to create an accurate prediction model that assigns the best sub-graph of the gene ontology to each new protein and output a prediction score for this sub-graph and/or each pred…

Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e.g., protein functions).