Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening
Protein–protein interactions (PPIs) take place in many cellular processes, including the activation of cellular cascades, such as the MAPK/ERK (Mitogen-Activated Protein Kinase/Extracellular-Regulated Kinase) pathway. Deregulation of these pathways leads to the development of diseases, such as cance...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
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| Acceso en línea: | http://hdl.handle.net/10261/426624 |
| Access Level: | acceso abierto |
| Palabra clave: | ERK1/2 Molecular modelling ERK dimerization MAPK/ERK inhibitors |
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Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro ScreeningOrtiz-González, CarmenBerta, CasarGozalbes, RafaelSerrano-Candelas, EvaCrespo, PieroCarpio, Laureano E.ERK1/2Molecular modellingERK dimerizationMAPK/ERK inhibitorsProtein–protein interactions (PPIs) take place in many cellular processes, including the activation of cellular cascades, such as the MAPK/ERK (Mitogen-Activated Protein Kinase/Extracellular-Regulated Kinase) pathway. Deregulation of these pathways leads to the development of diseases, such as cancer. DEL-22379 is an ERK2 dimerization inhibitor, which presents anti-tumoral effects, without affecting ERK2 phosphorylation. Our aim was to identify new therapeutic molecules targeting ERK2 dimerization, based on DEL-22379 structure. In this study, we implemented a combination of computational and experimental workflow, which includes in silico techniques, such as scaffold hopping and virtual screening to generate a dataset of candidate compounds, a native PAGE (PolyAcrylamide Gel Electrophoresis) electrophoresis to experimentally screen the potential inhibitors, and a detailed molecular docking and chemical profile prediction to understand the potential mechanism of action of the selected compounds. From an initial dataset of 536 compounds, we obtained two hit molecules that exhibited inhibitory effects on ERK2 dimerization: Drug73 and Drug120. A computational analysis of the mechanism of action, unveiled that Drug73 and Drug120 presented an improved docking score, and better drug-like properties when compared to DEL-22379. This study shows that computational studies, in combination with experimental evaluation, can be useful and efficient to find new therapeutic compounds.This publication is part of the grant DIN2024-013557 funded by MICIU/AEI/10.13039/501100011033. P.C. lab is supported by grant RTI2018-096658B-100 from the Spanish Ministry of Science (MICIU/AEI/FEDER, UE); a grant from Asociación Española Contra el Cancer (AECC; GCB141423113); CIBERONC (CB16/12/00273) from the Instituto de Salud Carlos III (ISCIII) and by ASPLA S.A “Encintalo en Rosa” grant.Peer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Asociación Española Contra el CáncerCentro de Investigación Biomédica en Red (España)Instituto de Salud Carlos IIIConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/426624reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/DIN2024-013557The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.3390/ijms262311481https://doi.org/10.3390/ijms262311481Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::da0a5d858f2aa8d84a2a2da6f92e211f2026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| title |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| spellingShingle |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening Ortiz-González, Carmen ERK1/2 Molecular modelling ERK dimerization MAPK/ERK inhibitors |
| title_short |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| title_full |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| title_fullStr |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| title_full_unstemmed |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| title_sort |
Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening |
| dc.creator.none.fl_str_mv |
Ortiz-González, Carmen Berta, Casar Gozalbes, Rafael Serrano-Candelas, Eva Crespo, Piero Carpio, Laureano E. |
| author |
Ortiz-González, Carmen |
| author_facet |
Ortiz-González, Carmen Berta, Casar Gozalbes, Rafael Serrano-Candelas, Eva Crespo, Piero Carpio, Laureano E. |
| author_role |
author |
| author2 |
Berta, Casar Gozalbes, Rafael Serrano-Candelas, Eva Crespo, Piero Carpio, Laureano E. |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) Asociación Española Contra el Cáncer Centro de Investigación Biomédica en Red (España) Instituto de Salud Carlos III Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
ERK1/2 Molecular modelling ERK dimerization MAPK/ERK inhibitors |
| topic |
ERK1/2 Molecular modelling ERK dimerization MAPK/ERK inhibitors |
| description |
Protein–protein interactions (PPIs) take place in many cellular processes, including the activation of cellular cascades, such as the MAPK/ERK (Mitogen-Activated Protein Kinase/Extracellular-Regulated Kinase) pathway. Deregulation of these pathways leads to the development of diseases, such as cancer. DEL-22379 is an ERK2 dimerization inhibitor, which presents anti-tumoral effects, without affecting ERK2 phosphorylation. Our aim was to identify new therapeutic molecules targeting ERK2 dimerization, based on DEL-22379 structure. In this study, we implemented a combination of computational and experimental workflow, which includes in silico techniques, such as scaffold hopping and virtual screening to generate a dataset of candidate compounds, a native PAGE (PolyAcrylamide Gel Electrophoresis) electrophoresis to experimentally screen the potential inhibitors, and a detailed molecular docking and chemical profile prediction to understand the potential mechanism of action of the selected compounds. From an initial dataset of 536 compounds, we obtained two hit molecules that exhibited inhibitory effects on ERK2 dimerization: Drug73 and Drug120. A computational analysis of the mechanism of action, unveiled that Drug73 and Drug120 presented an improved docking score, and better drug-like properties when compared to DEL-22379. This study shows that computational studies, in combination with experimental evaluation, can be useful and efficient to find new therapeutic compounds. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/426624 |
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http://hdl.handle.net/10261/426624 |
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#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/DIN2024-013557 The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.3390/ijms262311481 https://doi.org/10.3390/ijms262311481 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Multidisciplinary Digital Publishing Institute |
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Multidisciplinary Digital Publishing Institute |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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