There are 1 repository under structure-prediction topic.
An implementation of the DeepMind's AlphaFold based on PyTorch for research
Evolutionary couplings from protein and RNA sequence alignments
Protein Secondary Structure predictor using Convolutional Neural Networks
[EMNLP 2022] Generative Knowledge Graph Construction: A Review
nucleic acid folding
Visualize the inner workings of RNA bioinformatics algorithms for structure prediction, interaction prediction and sequence alignment.
PSP is a python toolkit for predicting atomic-level structural models for a range of polymer geometries.
Prospr is a universal toolbox for protein structure prediction within the HP-model. The Python package is based on a C++ core, which gives Prospr its high performance. The C++ core is made available as a separate zip file to facilitate high-performance computing applications. The package comes with many prediction algorithms and datasets to use.
A set of libraries for aligning, profiling, and predicting the structure of proteins
A deep learning method that identifies improved protein conformational states in trajectory data from refinement simulations
Recurrent neural network implementations for protein secondary structure prediction and language models
deep learning based prediction of structures and functional groups from MS/MS spectra
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.
Data and code for the manuscript "Assessing the utility of CASP14 models for Molecular Replacement: https://doi.org/10.22541/au.162412334.48194370/v1