protein-function-prediction
There are 38 repositories under protein-function-prediction topic.
kexinhuang12345/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
zjunlp/OntoProtein
[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding
samsinai/VAE_protein_function
Protein function prediction using a variational autoencoder
J-SNACKKB/FLIP
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
PedroMTQ/mantis
A package to annotate protein sequences
XinshaoAmosWang/DeepCriticalLearning
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
yourh/DeepGraphGO
DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
bioinf-mcb/Metagenomic-DeepFRI
Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.
idrblab/AnnoPRO
Feature map and function annotation of Proteins
psipred/FFPredGAN
Improving protein function prediction with synthetic feature samples created by generative adversarial networks
microsoft/protein-uq
Benchmarking uncertainty quantification methods on proteins.
westlake-repl/SaprotHub
SaprotHub: Making Protein Modeling Accessible to All Biologists
amirmohan/epistatic-net
Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e.g., protein functions).
idrblab/PFmulDL
Multi-label protein function annotation
kiharalab/Domain-PFP
Domain-PFP is a self-supervised method to predict protein functions from the domains
primaryodors/primarydock
PrimaryOdors.org molecular docker.
psipred/STRING2GO
Protein function prediction based on protein-protein interaction network topology and deep maxout neural networks
branchialspace/foldbender
molecular graph representation
usadellab/prot-scriber
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).
aalto-ics-kepaco/GO-LTR-prediction
Protein function prediction through latent tensor reconstruction
anazhmetdin/protEncoder
python package to encode protein using different methods for machine learning
johnnytam100/FPredX
This repository contains the FPredX models for the prediction of excitation maximum, emission maximum, brightness and oligomeric state of fluorescent proteins.
Sametle06/ProFAB
A platfrom supplies various machine learning algorithms and datasets and evaluation metrics for Protein Function Prediction
Vikasdubey0551/Sequential-analysis-ANN
Classification of protein function based on their sequences with Artificial Neural Networks
darcyabjones/pclust
A nextflow pipeline to cluster sets of proteins.
GauravPandeyLab/ensemble_integration
Integrating multimodal data through heterogeneous ensembles
AIMedLab/BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
bio-ontology-research-group/PU-GO
Predicting protein functions using positive-unlabeled ranking with ontology-based priors
RG-10/RG-10.github.io
🌱🌟 My Personal Portfolio 🌟🌱
SoliareofAstora/portfolio-Metagenomic-DeepFRI
Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN. This repository is for portfolio purposes only. For currently maintained version go to Małopolskie Centrum Biotechnologii repository - https://github.com/bioinf-mcb/Metagenomic-DeepFRI
ProteinEngineering-PESB2/hfbs-class-models
Developing assembled functional classifications models via optimized machine learning algorithms
suyash-chintawar/OntoPred
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.
cepdnaclk/e16-4yp-Automated-Protein-Function-Prediction
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 predicted term .
RG-10/Protein-Functions-Prediction
🧬Protein Functions Prediction through Amino Acids Sequences🧬