Tmpri2-005.7z File

If you are looking for the contents of this specific archive for replication or research, they are usually hosted on:

The "TmPri" (Transmembrane Primary) naming convention is standard for the benchmark sets used to develop , a leading deep learning tool for protein structure prediction.

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

These files typically contain curated sequences of proteins that cross cell membranes, used to distinguish between transmembrane helices, signal peptides, and globular domains.

Read on Nature Communications | Source Code & Data on GitHub Context of the File If you are looking for the contents of

The repository for DeepTMHMM contains the scripts and links to the underlying datasets used in the Nature Communications paper.

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 Read on Nature Communications | Source Code &

Authors: Jeppe Hallgren, Konstantinos D. Tsirigos, et al. Journal: Nature Communications (2022).