Decoding Functional Specialization in GPCRs through Evolution-Guided Residue Profiling

This archive contains all raw and intermediate files generated by the automated ortholog‑identification pipeline used in “Decoding Functional Specialization in GPCRs through Evolution‑Guided Residue Profiling.” For each of the 837 human GPCRs analyzed and 3 extra human receptors TPRA1, GP157 and GP143, you will find:• BLAST+ search outputs (tabular format) capturing all hits up to the third human paralogue, queried against UniProtKB release 14‑07‑2021.• Multiple sequence alignments (MSA) produced with MAFFT  fftnsi and linsi algorithms. Alignment trimming is done by ClipKit.• Maximum‑likelihood gene trees in Newick format generated with FastTree2 (first pass) and IQ‑TREE 2 / RAxML‑NG (second pass) that were used to retain true orthologs and exclude diverged sequences .Pipeline code, family‑level MSAs, conservation/entropy tables and residue annotations are available at our GitHub repository:https://github.com/CompGenomeLab/GPCR_Family_Divergence