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is a biomolecular structure prediction model aiming to be a bitwise reproduction of DeepMind's AlphaFold3, developed by the AlQuraishi Lab at Columbia University and the OpenFold consortium. It supports structure prediction of standard and non-canonical protein, RNA, and DNA chains, and small molecules, with pipelines for generating MSAs using ColabFold server or JackHMMER/hhblits following the AlphaFold3 protocol. The tool includes kernel acceleration through cuEquivariance and DeepSpeed4Science kernels, multi-query job support with distributed predictions across multiple GPUs, and performs competitively with state-of-the-art open source biomolecular structure prediction models.

a set of tools for cryo-EM and cryo-ET data processing including, among other tools: Warp, M, WarpTools, MTools, MCore, and Noise2Map.

a suite of tools for drug discovery

a free software environment for statistical computing and graphics.

a Python toolkit for the development and application of modern molecular mechanics force fields, leveraging direct chemical perception and rigorous statistical parameterization methods.

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

a high performance toolkit for molecular simulation that can be used either as a stand-alone application for running simulations or as a library you call from your own code.

a Python toolkit for the development and application of modern molecular mechanics force fields, leveraging direct chemical perception and rigorous statistical parameterization methods.

a high performance toolkit for molecular simulation that can be used either as a stand-alone application for running simulations or as a library you call from your own code.

a Python toolkit for the development and application of modern molecular mechanics force fields, leveraging direct chemical perception and rigorous statistical parameterization methods.