SBGridTV
RoseTTAFold2, extends the original three-track architecture of RoseTTAFold over the full network, incorporating the concepts of Frame-aligned point error, recycling during training, and the use of a distillation set from AlphaFold2.
a set of comprehensive facilities for Fourier processing of spectra in one to four dimensions, as well as a variety of facilities for spectral display and analysis. This is the official NMRScience version of NMRPipe.
a collection of cheminformatics and machine-learning software written in C++ and Python.
is the first flow-matching based protein folding model that uses only general purpose transformer layers, without relying on expensive modules like triangle attention or pair representation biases. The model scales to 3B parameters and is trained on over 8.6M distilled protein structures plus experimental PDB data, making it the largest scale folding model ever developed. SimpleFold achieves competitive performance on standard folding benchmarks and demonstrates strong ensemble prediction capabilities due to its generative training objective.
(ISOtropic reconstructioN of Electron Tomography) a tool that trains deep convolutional neural networks to reconstruct meaningful contents in the missing wedge for electron tomography, and to increase signal-to-noise ratio, using the information learned from the original tomogram.
an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands and glycans, as well as condition the generation on pocket residues.
