{"title":"非编码环状RNA hsa_circ_0004872编码的异常蛋白MAPK1-109aa的结构-功能活性研究","authors":"Jit Mondal , Sima Biswas , Sreekanya Roy , Anirban Nandy , Dipanjan Guha , Angshuman Bagchi","doi":"10.1016/j.jmgm.2025.109098","DOIUrl":null,"url":null,"abstract":"<div><div>Circular RNAs are closed-loop single-stranded non-coding RNA molecules. Once considered as transcriptional junks, their physiological roles in the process of tumourigenesis have recently been being identified. In spite of belonging to the class of non-coding RNAs, some of them have distinct protein coding abilities. The circular RNA hsa_circ_0004872, which encodes the protein MAPK1–109aa, is one such example. This protein is associated with gastric cancer pathway, as, MAPK1–109aa can bind to MEK1 and inhibit the phosphorylation of MAPK1 and this further disturbs the downstream signalling and activation processes necessary for the onset of gastric cancer. However, the residue level details of the binding interactions of MAPK1-109aa and its partners are not yet available. Therefore, our aim is to delineate the structural details and folding pattern of the protein and provide insight on its mode of interactions with its binding partner, MEK1. Furthermore, we tried to determine whether MAPK1-109aa has its role in any pathway(s) other than gastric cancer. Through the technique of network analyses, we could predict that the protein is associated with the pathways that lead to conditions like neurodegenerations and others. This work is the first of its kind, which elucidates the residue-level pattern of interactions of MAPK1-109aa with MEK1 in gastric cancer onset as well as the association of MAPK1-109aa with other diseases. This work highlights the potential application of MAPK1-109aa as a therapeutic agent for the treatment of gastric cancer.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"140 ","pages":"Article 109098"},"PeriodicalIF":3.0000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structure-function activity study of the unusual protein MAPK1-109aa encoded by the non-coding circular RNA hsa_circ_0004872\",\"authors\":\"Jit Mondal , Sima Biswas , Sreekanya Roy , Anirban Nandy , Dipanjan Guha , Angshuman Bagchi\",\"doi\":\"10.1016/j.jmgm.2025.109098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Circular RNAs are closed-loop single-stranded non-coding RNA molecules. Once considered as transcriptional junks, their physiological roles in the process of tumourigenesis have recently been being identified. In spite of belonging to the class of non-coding RNAs, some of them have distinct protein coding abilities. The circular RNA hsa_circ_0004872, which encodes the protein MAPK1–109aa, is one such example. This protein is associated with gastric cancer pathway, as, MAPK1–109aa can bind to MEK1 and inhibit the phosphorylation of MAPK1 and this further disturbs the downstream signalling and activation processes necessary for the onset of gastric cancer. However, the residue level details of the binding interactions of MAPK1-109aa and its partners are not yet available. Therefore, our aim is to delineate the structural details and folding pattern of the protein and provide insight on its mode of interactions with its binding partner, MEK1. Furthermore, we tried to determine whether MAPK1-109aa has its role in any pathway(s) other than gastric cancer. Through the technique of network analyses, we could predict that the protein is associated with the pathways that lead to conditions like neurodegenerations and others. This work is the first of its kind, which elucidates the residue-level pattern of interactions of MAPK1-109aa with MEK1 in gastric cancer onset as well as the association of MAPK1-109aa with other diseases. This work highlights the potential application of MAPK1-109aa as a therapeutic agent for the treatment of gastric cancer.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"140 \",\"pages\":\"Article 109098\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-06-02\",\"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/S1093326325001585\",\"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/S1093326325001585","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}
Structure-function activity study of the unusual protein MAPK1-109aa encoded by the non-coding circular RNA hsa_circ_0004872
Circular RNAs are closed-loop single-stranded non-coding RNA molecules. Once considered as transcriptional junks, their physiological roles in the process of tumourigenesis have recently been being identified. In spite of belonging to the class of non-coding RNAs, some of them have distinct protein coding abilities. The circular RNA hsa_circ_0004872, which encodes the protein MAPK1–109aa, is one such example. This protein is associated with gastric cancer pathway, as, MAPK1–109aa can bind to MEK1 and inhibit the phosphorylation of MAPK1 and this further disturbs the downstream signalling and activation processes necessary for the onset of gastric cancer. However, the residue level details of the binding interactions of MAPK1-109aa and its partners are not yet available. Therefore, our aim is to delineate the structural details and folding pattern of the protein and provide insight on its mode of interactions with its binding partner, MEK1. Furthermore, we tried to determine whether MAPK1-109aa has its role in any pathway(s) other than gastric cancer. Through the technique of network analyses, we could predict that the protein is associated with the pathways that lead to conditions like neurodegenerations and others. This work is the first of its kind, which elucidates the residue-level pattern of interactions of MAPK1-109aa with MEK1 in gastric cancer onset as well as the association of MAPK1-109aa with other diseases. This work highlights the potential application of MAPK1-109aa as a therapeutic agent for the treatment of gastric cancer.
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.