17 datasets found

Physicochemical Properties of Protein Tertiary Structure Data Set. UCI Machine Learning Repository, https://doi.org/10.24432/C5QW3H.

PDBj is a database of protein structures. It provides access to protein structures and tools for analysis.

The dataset used in this study is a collection of protein structure data from the Protein Data Bank (PDB), which is used to infer the interactions between protein subunits.

The experimental dataset is the precatalytic spliceosome dataset from the EMPIAR database.

The 1D-motion dataset consists of 10 distinct conformations of a protein fragment.

The 80S-bimodal dataset consists of two ground-truth volumes: the rotated and un-rotated states of the 80S ribosome protein.

The dataset used for training and testing the SE(3) diffusion model.

The Protein Data Bank contains 13,308 complexes of ligands bound to target proteins with structures determined by X-ray crystallography.

Structural Classification of Proteins — extended (SCOPe) dataset

The RAbD dataset is a benchmark for antibody design, which is used to evaluate the performance of the proposed dyMEAN model.

The Structural Antibody Database (SAbDab) is a dataset of antibody structures, which is used for training and testing the proposed dyMEAN model.

The OmegaFold dataset is used for protein structure prediction.

The ProteinMPNN dataset is used for inverse folding and protein structure prediction.

The CATH dataset provides a de-duplicated set of protein structural folds spanning a wide range of functions.

The dataset used in the paper for secondary structure-guided novel protein sequence generation with latent graph diffusion.

The dataset used in the paper for secondary structure-guided novel protein sequence generation with latent graph diffusion.

The dataset used in the paper for secondary structure-guided novel protein sequence generation with latent graph diffusion.