Stars
A tool to detect RRNPP-type quorum sensing systems
Joyplots in Python with matplotlib & pandas 📈
Joint sequence and structure generation with RoseTTAFold sequence space diffusion
Application to assign secondary structure to proteins
HTMD: Programming Environment for Molecular Discovery
Selection of the best substitution model, both empirical and structural, for protein sequences alignments by approximate Bayesian computation
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Multiple Protein Structure Alignment at Scale with FoldMason
Making Protein Modeling Accessible to All Biologists
Protein structure datasets for machine learning.
Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. http://bit.ly/cheap-proteins
TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
Exploiting sequence representations derived from protein language models for repeat identification
Code for holographic machine learning of proteins
LatentDE: Latent-based Directed Evolution for Protein Sequence Design
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Python tool for the discovery of similar 3D structural motifs across protein structures.
Insights into the inner workings of transformer models for protein function prediction
Visualisation of conformational space restriction by distance restraints
Generation of protein sequences and evolutionary alignments via discrete diffusion models