The invention discloses a visual purple
protein maximum absorption light
wavelength prediction method based on a graph neural network. Comprising the following steps: generating a three-dimensional structure model according to an
amino acid sequence of a to-be-predicted
rhodopsin protein; generating a ligand pocket graph according to the three-dimensional structure model of the visual purple
protein to be predicted; and inputting the ligand pocket graph into a pre-trained maximum absorption
wavelength prediction model to obtain a maximum absorption
wavelength prediction value. The method can make full use of protein three-dimensional structure information, accurately characterizes the ligand
binding pocket microenvironment, has high prediction precision and strong generalization ability, and has important scientific significance and application value.