SBGrid Consortium homepage

a tool for scaling data analyses in cellular cryoET using comprehensive segmentation.

is a GPU-based tool for improving cryo-ET tilt-series alignments, designed to run from an initial eTomo/WarpTools patch-tracking alignment. It provides a command-line workflow for training and reconstruction across one or more GPUs, with guidance for WarpTools and single-node SLURM use.

a collection of general pretrained networks for cellular cryoET.

a tool that provides annotation and segmentation of cryo-ET data using convolutional neural networks.

a Python package that streamlines protein-protein interaction screens and high-throughput modelling of higher-order oligomers using AlphaFold-Multimer.

a neural network based algorithm for heterogeneous cryo-EM reconstruction. In particular, the method models a continuous distribution over 3D structures by using a neural network based representation for the volume.

an automatic atomic model building program for cryo-EM maps.

a Python package and simple command-line program to automatically fit high-resolution atomic structures in cryo-EM densities.

CryoZeta is a de novo macromolecular structure modeling tool that integrates cryo-EM density information with a diffusion-model-based structure prediction pipeline.

is a python package designed to analyze the particle distribution of the relative orientation between two independently refined domains of a biological complex. The landscape is represented in angular (real) space.