Core Viewpoint - The article discusses the significant environmental challenges posed by plastic waste, particularly PET, and introduces a novel enzyme discovery model, VenusMine, which utilizes protein language models for efficient identification of highly effective PET hydrolases [2][6][13]. Group 1: Enzyme Discovery Model - VenusMine is a protein language model that integrates structural analysis to efficiently mine for PET hydrolases from vast protein databases [6][7]. - The model identifies and clusters target proteins based on the crystal structure of IsPETase, followed by screening for solubility and thermal stability [7][8]. Group 2: Findings and Results - The research team successfully discovered a series of PET hydrolases, with KbPETase from Kibdelosporangium banguiense exhibiting a catalytic efficiency 97 times higher than that of IsPETase [3][8]. - Among the 34 candidate proteins, 14 demonstrated PET degradation activity within the temperature range of 30-60 °C, with KbPETase showing a melting temperature 32°C higher than IsPETase [8][12]. Group 3: Structural Insights - X-ray crystallography and molecular dynamics simulations revealed that KbPETase possesses a conserved catalytic domain and enhanced intramolecular interactions, supporting its improved functionality and thermal stability [12].