Composite Dataset of Input and Output Files from Complex Similarity Network Analysis of Secreted Cysteine-Rich peptides/proteins Without Annotation (SCRs-WA)

HSPN_peptide_classes_projection.graphml → Projection of peptide classes (AMPs, toxins, defensins, etc.), highlighting their network positioning. 🖥 Visualization: Can be opened in Gephi v0.10 or any GraphML-compatible tool. Nodes represent peptide sequences, edges indicate functional similarity, and clusters reflect shared bioactivity profiles. 🔍 Usage: - Facilitates visual exploration of sequence relationships. - Enables functional annotation transfer by identifying clusters with known bioactive peptides. 3- 🗂 FileSM3: FileSM3_Clusters_Composition_Analysis.xlsx 📄 Content: A spreadsheet detailing cluster composition in the HSPN analysis, including: Cluster ID and size Distribution of peptides across eight datasets Functional annotation insights for each cluster 🔍 Usage: - Helps identify key functional groups within the CSN framework. - Provides quantitative insights into peptide distribution and classification. 4- 🗂 FileSM4: FileSM4_HSPN_Connections_Analysis.xlsx 📄 Content: A spreadsheet detailing functional connections between peptides, including: Pairwise similarity scores Network centrality measures (e.g., harmonic centrality, degree centrality) Annotations of linked sequences 🔍 Usage: - Supports similarity-based functional inference. - Helps track peptide relationships and connectivity patterns within the network.