17 datasets found

The eBDIMS server generates transition pathways between protein end-states, and allows for validation and rational analysis within the conformational landscape defined from...

Amino acid sequences used in experiments

Two-phase optimization for protein folding optimization on a three-dimensional AB off-lattice model

The SGNet dataset is a benchmark for symmetrical protein complex structure prediction. It contains a set of symmetrical protein complexes with different symmetry types (C, D, T,...

Protein homology dataset (KDD Cup 2004), with binary-valued features.

Coarse-grained protein models play a crucial role in the study of protein structures, protein thermodynamic properties, and protein conformation dynamics.

Protein structure prediction has reached revolutionary levels of accuracy on single structures, yet distributional modeling paradigms are needed to capture the conformational...

Fold-switching proteins and ligand-induced conformational change.

Protein structure prediction has reached revolutionary levels of accuracy on single structures, yet distributional modeling paradigms are needed to capture the conformational...

TS50 and T500 datasets for training and testing protein structure prediction models.

The CASP12 dataset is a benchmark for protein structure prediction.

Dataset of native and non-native peptides for HIV and FIV proteases

Dataset of native and non-native peptides for HIV and FIV proteases

The dataset used in the paper for protein structure prediction.

A dataset for learning distributed representations of graphs using discrete substructure patterns and neural language models.

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

The protein datasets consist of 500 high-resolution proteins and 113 selected RNA sequences.