Alenna Crystiene Lima Farias de Sousa, Larissa Queiroz dos Santos, Gabriel Albuquerque Xavier, Délia Cristina Figueira Aguiar, Andrei Santos Siqueira, Evonnildo Costa Gonçalves
{"title":"一种新型耐热α-淀粉酶的硅表征","authors":"Alenna Crystiene Lima Farias de Sousa, Larissa Queiroz dos Santos, Gabriel Albuquerque Xavier, Délia Cristina Figueira Aguiar, Andrei Santos Siqueira, Evonnildo Costa Gonçalves","doi":"10.1016/j.jmgm.2025.109124","DOIUrl":null,"url":null,"abstract":"<div><div>Cyanobacteria, photoautotrophic microorganisms found in diverse environments, are promising producers of bioactive compounds with industrial applications. Among these, α-Amylases hydrolyze α(1,4) glycosidic bonds in starch, generating fermentable monomers for bioprocesses. This study used computational approaches to identify and characterize potentially thermostable α-Amylases from cyanobacterial sequences from a public database. The protein Amy1 was identified and analyzed through structural modeling, sequence comparison, molecular dynamics simulations, and binding free energy calculations to assess protein-ligand interactions. Molecular dynamics at 27 °C and 50 °C were conducted to evaluate putative enzyme stability, guiding experimental validation of thermostability. These studies were carried out to ensure accuracy for experimental tests, which are important to confirm this thermostable characteristic. These findings highlight cyanobacterial alpha-amylase characteristics as viable alternatives to commercial equivalents and pave the way for future biotechnological applications and large-scale production.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"140 ","pages":"Article 109124"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of a novel thermostable α-amylase from Calothrix sp. using in silico approaches\",\"authors\":\"Alenna Crystiene Lima Farias de Sousa, Larissa Queiroz dos Santos, Gabriel Albuquerque Xavier, Délia Cristina Figueira Aguiar, Andrei Santos Siqueira, Evonnildo Costa Gonçalves\",\"doi\":\"10.1016/j.jmgm.2025.109124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cyanobacteria, photoautotrophic microorganisms found in diverse environments, are promising producers of bioactive compounds with industrial applications. Among these, α-Amylases hydrolyze α(1,4) glycosidic bonds in starch, generating fermentable monomers for bioprocesses. This study used computational approaches to identify and characterize potentially thermostable α-Amylases from cyanobacterial sequences from a public database. The protein Amy1 was identified and analyzed through structural modeling, sequence comparison, molecular dynamics simulations, and binding free energy calculations to assess protein-ligand interactions. Molecular dynamics at 27 °C and 50 °C were conducted to evaluate putative enzyme stability, guiding experimental validation of thermostability. These studies were carried out to ensure accuracy for experimental tests, which are important to confirm this thermostable characteristic. These findings highlight cyanobacterial alpha-amylase characteristics as viable alternatives to commercial equivalents and pave the way for future biotechnological applications and large-scale production.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"140 \",\"pages\":\"Article 109124\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-08\",\"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/S1093326325001846\",\"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/S1093326325001846","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}
Characterization of a novel thermostable α-amylase from Calothrix sp. using in silico approaches
Cyanobacteria, photoautotrophic microorganisms found in diverse environments, are promising producers of bioactive compounds with industrial applications. Among these, α-Amylases hydrolyze α(1,4) glycosidic bonds in starch, generating fermentable monomers for bioprocesses. This study used computational approaches to identify and characterize potentially thermostable α-Amylases from cyanobacterial sequences from a public database. The protein Amy1 was identified and analyzed through structural modeling, sequence comparison, molecular dynamics simulations, and binding free energy calculations to assess protein-ligand interactions. Molecular dynamics at 27 °C and 50 °C were conducted to evaluate putative enzyme stability, guiding experimental validation of thermostability. These studies were carried out to ensure accuracy for experimental tests, which are important to confirm this thermostable characteristic. These findings highlight cyanobacterial alpha-amylase characteristics as viable alternatives to commercial equivalents and pave the way for future biotechnological applications and large-scale production.
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.