Tmpri2-005.7z 〈2024〉

Read on Nature Communications | Source Code & Data on GitHub Context of the File

These files typically contain curated sequences of proteins that cross cell membranes, used to distinguish between transmembrane helices, signal peptides, and globular domains. TmPri2-005.7z

The "TmPri" (Transmembrane Primary) naming convention is standard for the benchmark sets used to develop , a leading deep learning tool for protein structure prediction. Read on Nature Communications | Source Code &

The primary research group's resource page . used to distinguish between transmembrane helices

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:

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