BioinfoMachineLearning's repositories
DeepInteract
A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)
MULTICOM3
The software system of improving AlphaFold2- and AlphaFold-Multimer-based protein tertiary & quaternary structure prediction. It was developed by the Bioinformatics and Machine Learning Lab at the University of Missouri. It was blindly tested in CASP15 and ranked among the best server predictors in 2022. It improves AlphaFold's accuracy by 5-10%.
ATOMRefine
3D equivariant graph transformer for all-atom refinement of protein tertiary structures
DeepRefine
A geometric deep learning method for refining and assessing protein complex structures.
MULTICOM_qa
Evaluate the quality of protein multimer structure models
BML_HiC_Data_Analysis
A set of tools for Hi-C data analysis developed by Bioinformatics and Machine Learning Lab
DeepCryoPicker
This is the python implementation of the original DeepCryoPicker for picking single protein particles in cryo-EM images.
GD-multimer
Stochastic gradient descent method for reconstructing protein multimer structures from inter-chain contacts/distances
openfold-bugfixes
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2