A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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Updated
Oct 30, 2023 - Jupyter Notebook
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding
Protein function prediction using a variational autoencoder
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
A package to annotate protein sequences
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.
Improving protein function prediction with synthetic feature samples created by generative adversarial networks
Feature map and function annotation of Proteins
Benchmarking uncertainty quantification methods on proteins.
Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e.g., protein functions).
Multi-label protein function annotation
Domain-PFP is a self-supervised method to predict protein functions from the domains
Protein function prediction based on protein-protein interaction network topology and deep maxout neural networks
PrimaryOdors.org molecular docker.
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).
molecular graph representation
This repository contains the FPredX models for the prediction of excitation maximum, emission maximum, brightness and oligomeric state of fluorescent proteins.
Classification of protein function based on their sequences with Artificial Neural Networks
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