{"title":"评价AlphaFold3对荧光蛋白翻译后修饰、寡聚物组装和可淬灭金属结合的预测","authors":"Ki Hyun Nam","doi":"10.1016/j.jmgm.2025.109169","DOIUrl":null,"url":null,"abstract":"<div><div>Green fluorescent proteins (GFPs) are optical markers that are widely used in molecular and cell biology studies to track the location and function of biomolecules. Elucidating their structures will facilitate further engineering of these fluorescent proteins (FPs) to enhance their properties. AlphaFold3 (AF3) is a recently developed prediction tool that exhibits higher accuracy compared with other prediction tools, particularly in predicting protein–ligand interactions with state-of-the-art docking tools. However, studies on the use of AF3 to analyze the structure of FPs have not been fully conducted. To determine the accuracy of FP prediction using AF3, chromophore formation, oligomeric states, and metal ion binding of FPs were analyzed and compared with those of experimentally determined FPs. AF3 could not generate a chromophore comprising the two-ring structure by post-translational modification. Moreover, the oligomeric assembly formation of the FPs was similar to that of experimental oligomeric FPs; however, the detailed residue interactions between FP monomers were different. Quenchable metal ion docking to FPs using AF3 revealed a similar metal-binding site; however, metal coordination was significantly different between AF3 and the experimental structure. These results provide insight into the potential and limitations of using AF3 for FPs.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"142 ","pages":"Article 109169"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of AlphaFold3 prediction for post-translational modification, oligomeric assembly, and quenchable metal binding of fluorescent proteins\",\"authors\":\"Ki Hyun Nam\",\"doi\":\"10.1016/j.jmgm.2025.109169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Green fluorescent proteins (GFPs) are optical markers that are widely used in molecular and cell biology studies to track the location and function of biomolecules. Elucidating their structures will facilitate further engineering of these fluorescent proteins (FPs) to enhance their properties. AlphaFold3 (AF3) is a recently developed prediction tool that exhibits higher accuracy compared with other prediction tools, particularly in predicting protein–ligand interactions with state-of-the-art docking tools. However, studies on the use of AF3 to analyze the structure of FPs have not been fully conducted. To determine the accuracy of FP prediction using AF3, chromophore formation, oligomeric states, and metal ion binding of FPs were analyzed and compared with those of experimentally determined FPs. AF3 could not generate a chromophore comprising the two-ring structure by post-translational modification. Moreover, the oligomeric assembly formation of the FPs was similar to that of experimental oligomeric FPs; however, the detailed residue interactions between FP monomers were different. Quenchable metal ion docking to FPs using AF3 revealed a similar metal-binding site; however, metal coordination was significantly different between AF3 and the experimental structure. These results provide insight into the potential and limitations of using AF3 for FPs.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"142 \",\"pages\":\"Article 109169\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular graphics & modelling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1093326325002293\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326325002293","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Evaluation of AlphaFold3 prediction for post-translational modification, oligomeric assembly, and quenchable metal binding of fluorescent proteins
Green fluorescent proteins (GFPs) are optical markers that are widely used in molecular and cell biology studies to track the location and function of biomolecules. Elucidating their structures will facilitate further engineering of these fluorescent proteins (FPs) to enhance their properties. AlphaFold3 (AF3) is a recently developed prediction tool that exhibits higher accuracy compared with other prediction tools, particularly in predicting protein–ligand interactions with state-of-the-art docking tools. However, studies on the use of AF3 to analyze the structure of FPs have not been fully conducted. To determine the accuracy of FP prediction using AF3, chromophore formation, oligomeric states, and metal ion binding of FPs were analyzed and compared with those of experimentally determined FPs. AF3 could not generate a chromophore comprising the two-ring structure by post-translational modification. Moreover, the oligomeric assembly formation of the FPs was similar to that of experimental oligomeric FPs; however, the detailed residue interactions between FP monomers were different. Quenchable metal ion docking to FPs using AF3 revealed a similar metal-binding site; however, metal coordination was significantly different between AF3 and the experimental structure. These results provide insight into the potential and limitations of using AF3 for FPs.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.