Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for machine learning protein
machine-learning
x
protein
x
49 search results found
Educational
⭐
1,112
Paddlehelix
⭐
729
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Proteinnet
⭐
623
Standardized data set for machine learning of protein structure
Bio_embeddings
⭐
357
Get protein embeddings from protein sequences
Sidechainnet
⭐
256
An all-atom protein structure dataset for machine learning.
P2rank
⭐
193
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
Moleculekit
⭐
183
MoleculeKit: Your favorite molecule manipulation kit
Dspp Keras
⭐
160
Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
Deepfri
⭐
156
Deep functional residue identification
Compbiodatasetsformachinelearning
⭐
120
A Curated List of Computational Biology Datasets Suitable for Machine Learning
Flexs
⭐
112
Fitness landscape exploration sandbox for biological sequence design.
Proteinsecondarystructure Cnn
⭐
93
Protein Secondary Structure predictor using Convolutional Neural Networks
Deepnovo
⭐
67
Protein Identification with Deep Learning
Mmtf Pyspark
⭐
64
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
Equifold
⭐
59
Official code repository for EquiFold
Udsmprot
⭐
58
Protein sequence classification with self-supervised pretraining
Hsm
⭐
58
Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
Neodti
⭐
54
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Awesome Structural Bioinformatics
⭐
54
Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your cold brew almond milk latte and read this.
Gym Lattice
⭐
52
An HP 2D Lattice Environment with a Gym-like API for the Protein Folding Problem
Protr
⭐
50
🧬 Toolkit for generating various numerical features of protein sequences
Deepgo
⭐
45
Function prediction using a deep ontology-aware classifier
Vae_protein_function
⭐
44
Protein function prediction using a variational autoencoder
Cell2cell
⭐
44
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
Protein Localization
⭐
43
Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬
Protlearn
⭐
38
A Python package for extracting protein sequence features
Profet
⭐
37
ProFET: Protein Feature Engineering Toolkit for Machine Learning
Holoprot
⭐
37
Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
Dips Plus
⭐
34
The Enhanced Database of Interacting Protein Structures for Interface Prediction
Deepinteract
⭐
33
A geometric deep learning pipeline for predicting protein interface contacts.
Ramanet
⭐
31
Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
Porter5
⭐
28
Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes
Protein Transformer
⭐
25
Predicting protein structure through sequence modeling
Biotrainer
⭐
24
Lemon
⭐
22
A framework for rapidly mining structural information from the Protein Data Bank
Geometricus
⭐
22
A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
Pnerf
⭐
21
Vde_metadynamics
⭐
20
Enhanced protein mutational sampling using time-lagged variational autoencoders
Kif
⭐
20
KIF - Key Interactions Finder. A python package to identify the key molecular interactions that regulate any conformational change.
Pytorch Rgn
⭐
19
Recurrent Geometric Network in Pytorch
Walk Jump
⭐
18
Official repository for discrete Walk-Jump Sampling (dWJS)
Protein_ml
⭐
16
Machine learning workflows for analyzing high-throughput protein data
Deepnog
⭐
16
Protein orthologous group assignment with deep learning
Deepcoil
⭐
16
Fast and accurate prediction of coiled coil domains in protein sequences.
Lib310
⭐
13
lib310 python package
Brewery
⭐
12
State-of-the-art ab initio prediction of 1D protein structure annotations
Message Passing Neural Network
⭐
11
Pytorch implementation of a message passing neural network with RNN sub-units
Protein Feature Extraction
⭐
10
Python code to extract features from Protein sequences for Machine Learning/Deep Learning
Mue
⭐
10
A package for making MuE observation models in Edward2.
Proteingraphml
⭐
9
Protein Graph in Python for MetaPath-ML and more.
Phage Host Prediction
⭐
7
Published in PLOS ONE. We show that using embeddings of receptor-binding proteins presents improvements over handcrafted genomic and protein sequence features for phage-host interaction prediction — with the highest performance obtained using the transformer-based protein language model ProtT5
Bipspi
⭐
7
Partner specific prediction of protein binding sites
Pymut
⭐
6
Machine learning methods for the prediction of pathology in protein mutations, as in the PMut predictor.
Apta Mcts
⭐
6
Supporting code for the paper "Predicting aptamer sequences that interact with target proteins using an Aptamer-Protein Interaction classifier and a Monte-Carlo tree search approach". Please issue for any errors or helps.
Milieu
⭐
6
Mutual Interactors: A graph-based machine learning model with applications in molecular phenotype prediction
Precogx
⭐
5
A predictor of GPCR couplings with G-proteins/B-arrs using Transformers
Enzyme Classification
⭐
5
Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.
Pymove
⭐
5
Library and utilities for training volume estimation models with PyMoVE.
Hsm Web
⭐
5
Website associated with the "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
Envision2017
⭐
5
We present Envision, an accurate predictor of protein variant molecular effect, trained using large-scale experimental mutagenesis data. All data and software in this study are freely available. The training data set and all code used to train the models and generate the figures presented in this manuscript are available here. Envision predictions, along with feature annotations, are available at https://envision.gs.washington.edu/.
Ppaxe
⭐
5
Text mining tool to retrieve protein-protein interactions from the scientific literature.
Crisprcasidentifier
⭐
5
Machine learning for accurate identification and classification of CRISPR-Cas systems
Related Searches
Python Machine Learning (14,100)
Jupyter Notebook Machine Learning (12,247)
Machine Learning Neural Network (4,397)
Machine Learning Natural Language Processing (3,891)
Machine Learning Data Science (3,802)
Machine Learning Artificial Intelligence (3,775)
Machine Learning Tensorflow (2,984)
Machine Learning Pytorch (2,910)
Machine Learning Computer Vision (1,966)
Dataset Machine Learning (1,872)
1-49 of 49 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.