Pedro H.S. Dantas , Amanda O. Matos , Mike T.C. Colmenares , Vinícius A.F. Costa , Andrei G. Felice , José R.C. Neto , Siomar C. Soares , Marcelle Silva-Sales , Bruno J. Neves , Helioswilton Sales-Campos
{"title":"在TREM2 -和硅表征中,蛋白质识别主要由CDR2区域介导","authors":"Pedro H.S. Dantas , Amanda O. Matos , Mike T.C. Colmenares , Vinícius A.F. Costa , Andrei G. Felice , José R.C. Neto , Siomar C. Soares , Marcelle Silva-Sales , Bruno J. Neves , Helioswilton Sales-Campos","doi":"10.1016/j.jmgm.2025.109058","DOIUrl":null,"url":null,"abstract":"<div><div>The Triggering Receptor Expressed on Myeloid cells 2 (TREM2) is an immune receptor with three complementarity-determining regions (CDR1-3) that primarily interact with the receptor's ligands. Aside from its role in reducing inflammation, enhancing phagocytosis, and contributing to cellular maturation and survival, TREM2 also contributes to the pathophysiology of neurodegenerative disorders, cancer, and metabolic diseases. Therefore, understanding how the receptor interacts with its ligands is essential to mitigate its adverse effects and/or to foster the development of new therapeutic approaches. Thus, our research focused on understanding the interactions between TREM2 and its protein ligands: APOA1, APOA2, APOE3, APOE4, APOJ, C1q, Galectin-3, cyclophilin A, Heat shock protein 60 (HSP60), IL-34, IL-4, the SARS-CoV-2 membrane protein and the cholera toxin subunit B, TDP-43 using <em>in silico</em> methods, such as molecular docking and molecular dynamics simulations. TREM2 showed a higher affinity and stability with HSP60, APOA2, Cyclophilin A, Galectin-3, TDP-43 and C1q when compared to the other protein ligands. Notably, our data suggest that TREM2 interacts with its ligands predominantly through the CDR2 region by the following residues: N68, L69, W70, L71, L72, F74 and R76. Our findings indicate that the CDR2 region can be a crucial target for the development of inhibitory or agonistic approaches targeting the receptor's activity.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"138 ","pages":"Article 109058"},"PeriodicalIF":2.7000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Protein recognition is chiefly mediated by the CDR2 region in TREM2 - an in silico characterization\",\"authors\":\"Pedro H.S. Dantas , Amanda O. Matos , Mike T.C. Colmenares , Vinícius A.F. Costa , Andrei G. Felice , José R.C. Neto , Siomar C. Soares , Marcelle Silva-Sales , Bruno J. Neves , Helioswilton Sales-Campos\",\"doi\":\"10.1016/j.jmgm.2025.109058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Triggering Receptor Expressed on Myeloid cells 2 (TREM2) is an immune receptor with three complementarity-determining regions (CDR1-3) that primarily interact with the receptor's ligands. Aside from its role in reducing inflammation, enhancing phagocytosis, and contributing to cellular maturation and survival, TREM2 also contributes to the pathophysiology of neurodegenerative disorders, cancer, and metabolic diseases. Therefore, understanding how the receptor interacts with its ligands is essential to mitigate its adverse effects and/or to foster the development of new therapeutic approaches. Thus, our research focused on understanding the interactions between TREM2 and its protein ligands: APOA1, APOA2, APOE3, APOE4, APOJ, C1q, Galectin-3, cyclophilin A, Heat shock protein 60 (HSP60), IL-34, IL-4, the SARS-CoV-2 membrane protein and the cholera toxin subunit B, TDP-43 using <em>in silico</em> methods, such as molecular docking and molecular dynamics simulations. TREM2 showed a higher affinity and stability with HSP60, APOA2, Cyclophilin A, Galectin-3, TDP-43 and C1q when compared to the other protein ligands. Notably, our data suggest that TREM2 interacts with its ligands predominantly through the CDR2 region by the following residues: N68, L69, W70, L71, L72, F74 and R76. Our findings indicate that the CDR2 region can be a crucial target for the development of inhibitory or agonistic approaches targeting the receptor's activity.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"138 \",\"pages\":\"Article 109058\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-04-17\",\"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/S1093326325001184\",\"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/S1093326325001184","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}
Protein recognition is chiefly mediated by the CDR2 region in TREM2 - an in silico characterization
The Triggering Receptor Expressed on Myeloid cells 2 (TREM2) is an immune receptor with three complementarity-determining regions (CDR1-3) that primarily interact with the receptor's ligands. Aside from its role in reducing inflammation, enhancing phagocytosis, and contributing to cellular maturation and survival, TREM2 also contributes to the pathophysiology of neurodegenerative disorders, cancer, and metabolic diseases. Therefore, understanding how the receptor interacts with its ligands is essential to mitigate its adverse effects and/or to foster the development of new therapeutic approaches. Thus, our research focused on understanding the interactions between TREM2 and its protein ligands: APOA1, APOA2, APOE3, APOE4, APOJ, C1q, Galectin-3, cyclophilin A, Heat shock protein 60 (HSP60), IL-34, IL-4, the SARS-CoV-2 membrane protein and the cholera toxin subunit B, TDP-43 using in silico methods, such as molecular docking and molecular dynamics simulations. TREM2 showed a higher affinity and stability with HSP60, APOA2, Cyclophilin A, Galectin-3, TDP-43 and C1q when compared to the other protein ligands. Notably, our data suggest that TREM2 interacts with its ligands predominantly through the CDR2 region by the following residues: N68, L69, W70, L71, L72, F74 and R76. Our findings indicate that the CDR2 region can be a crucial target for the development of inhibitory or agonistic approaches targeting the receptor's activity.
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.