Searching proteins against a database of embeddings
-
Updated
Dec 17, 2023 - Python
Searching proteins against a database of embeddings
An implementation of a genetic algorithm in Python for predicting equilibrium crystal structures for a given potential. The potential implemented here is the Daoud-Cotton model, but this can be easily changed.
Predict the whole sequence and 3D structure of masked protein sequences with ESM by @evolutionaryscale
Computing descriptors for AIRSS style SHELX files.
Recurrent neural network implementations for protein secondary structure prediction and language models
Your open-source alternative to AlphaFold3🚀
A deep learning method that identifies improved protein conformational states in trajectory data from refinement simulations
A set of libraries for aligning, profiling, and predicting the structure of proteins
Active Imitation Learing with Noisy Guidance
[ACL 2023] SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
Python bindings for the `buildcell` program for Ab Initio Random Structure Searching (AIRSS)
nucleic acid folding
Protein Secondary Structure predictor using Convolutional Neural Networks
Official code repository for EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
An implementation of the DeepMind's AlphaFold based on PyTorch for research
Deep neural models for core NLP tasks (Pytorch version)
Add a description, image, and links to the structure-prediction topic page so that developers can more easily learn about it.
To associate your repository with the structure-prediction topic, visit your repo's landing page and select "manage topics."