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12 search results found

Proteinnet ⭐ 623

Standardized data set for machine learning of protein structure

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Protein Sequence Embedding Iclr2019 ⭐ 203

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Tape Neurips2019 ⭐ 115

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

De novo protein structure prediction using iteratively predicted structural constraints

Protein Bert Pytorch ⭐ 37

Implementation of ProteinBERT in Pytorch

Flu Sequence Predictor ⭐ 34

An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.

Parapred ⭐ 25

Paratope Prediction using Deep Learning

Protein Localization Transformer ⭐ 22

Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction

Protein orthologous group assignment with deep learning

Parapred Pytorch ⭐ 14

PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)

State-of-the-art ab initio prediction of 1D protein structure annotations

Protein Feature Extraction ⭐ 10

Python code to extract features from Protein sequences for Machine Learning/Deep Learning

Deep learning based alignment-free method for protein family modeling and prediction

Pymissense ⭐ 9

PyMissense creates the pathogenicity plot and modified pdb as shown in the AlphaMissense paper for custom proteins.

Learning hierarchical motif representations for proteins.

A Deep Learning based protein flexibility prediction tool.

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