Primjena ChatGPT-a u biotehnologiji: razgradnja plastike metaloenzimima

undergraduate thesis

• Title (english): The application of ChatGPT in biotechnology: plastic degradation by metalloenzymes
• Author: Katja Jakuš
• Mentor: Tonči Rezić (mentor)
• Granter: University of Zagreb; Faculty of Food Technology and Biotechnology; (Department of Biochemical Engineering); (Laboratory for Biochemical Engineering, Industrial Microbiology and Malting and Brewing Technology); Zagreb
• Defense date and country: 2024-06-17, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Biotechnology

Abstract

Metaloenzimi su velika skupina enzima koji se ističu zbog svoje selektivnosti i blagih reakcijskih uvjeta. Zbog svoje sposobnosti razgradnje kristaličnih, u vodi netopivih biljnih polimera, pretpostavlja se da modificirani metaloenzimi mogu katalizirati razgradnju plastike. Ova pretpostavka polazi od činjenice da su strukture plastike i kristaličnih polimera vrlo slične. S obzirom na brz razvoj, veliku popularnost i širinu primjene umjetne inteligencije, može se pretpostaviti i primjena u proučavanju enzimske razgradnje plastike. Cilj ovog rada je ispitati mogućnost ChatGPT-a u analizi tematike vezane uz enzimsku razgradnju plastike pomoću LPMO metaloenzima. ChatGPT pružio je opsežne, racionalne odgovore na sva postavljena pitanja. Ipak, ovako dobivene informacije potrebno je dodatno provjeriti jer odgovori koje ChatGPT pruža nisu potpuno pouzdani.

Abstract (english)

Metalloenzymes are a large group of enzymes known for their selectivity and mild reaction conditions. Due to their ability to degrade crystalline, water-insoluble plant polymers, modified metalloenzymes are hypothesized to catalyse plastic degradation. This hypothesis stems from the similarity between the structures of plastic and crystalline polymers. Considering the rapid development, popularity, and broad applications of artificial intelligence, it is reasonable to assume that it can be applied to research of enzymatic plastic degradation. The aim of this study is to question the ability of ChatGPT to answer questions related to enzymatic plastic degradation using LPMO metalloenzymes. ChatGPT provided comprehensive, easily understandable responses to all posed questions. Yet, the information acquired in this way needs further verification as the answers provided by ChatGPT are not entirely reliable.

• Keywords: metaloenzimi; plastika; umjetna inteligencija; ChatGPT; litička polisaharidna monoksigenaza
• Keywords (english): metalloenzymes; plastic; artificial intelligence; ChatGPT; lytic polysaccharide monooxygenase
• Language: croatian
• URN:NBN: urn:nbn:hr:159:483706
• Study programme: Title: Biotechnology; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka biotehnologije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka biotehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-11-07 14:36:16