The repository for DeepTMHMM contains the scripts and links to the underlying datasets used in the Nature Communications paper.
This dataset is primarily used in bioinformatics for training and evaluating machine learning models related to . Associated Research Paper The core research paper associated with this dataset is: TmPri2-005.7z
Read on Nature Communications | Source Code & Data on GitHub Context of the File The repository for DeepTMHMM contains the scripts and
The "TmPri" (Transmembrane Primary) naming convention is standard for the benchmark sets used to develop , a leading deep learning tool for protein structure prediction. TmPri2-005.7z
The "-005" suffix often indicates a specific cross-validation fold (e.g., the 5th split of the data) used during the model training process to ensure the AI's accuracy across different protein families. Where to Find the Data