“…However, few have explored the contributions of specific residues or other properties of ligands to receptor activity based on the structure of a protostome’s receptor that has no known homologs in deuterostomes (vertebrates and some invertebrates), partly because a protein structure cannot be obtained using a homology modeling approach. In the present work, we utilize a molluscan model system, Aplysia californica ( 11 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ), to study this issue using Aplysia leucokinin peptides (ALKs) ( 60 ) and their receptor. In particular, recent successful efforts ( 14 ) have been made to predict protein structure based on the amino acid sequence of a protein, particularly template-free modeling ( 61 ) using artificial intelligence (AI) deep machine learning algorithms such as Robetta ( 62 ) and AlphaFold ( 63 ).…”