Exploring the anti-tumor mechanisms of thiourea-derived CXCR2 antagonists: a computational perspective

Cancer stands as one of the most difficult health challenges, posing significant dangers due to its ability to proliferate uncontrollably and spread throughout the body. CXCR2 is a G-protein coupled receptor that has significant interference in tumor development and metastasis. Its overexpression is related to poor prognosis in various cancer types and malignancies, and its inhibition suppresses tumor growth, angiogenesis, and metastasis of several cancers. Its therapeutic target potential directed us to the study of thirty thiourea derivatives with CXCR2 inhibition activity using the 3D quantitative structure–activity relationship method, where an explaining CoMSIA model was derived. The visualization of the model's contour maps highlighted the positive effect of introducing substituents with bulky hydrophobic effects on the ester moiety and hydrophobic effects on the thiourea moiety, using them we designed thirteen new antagonists with enhanced activities. Furthermore, the binding mode investigation of the newly designed molecules, using molecular docking, revealed strong interactions with active site residues and extra hydrogen bonds. Moreover, dynamic simulation confirmed their stability and sustainability resulting in a desirable outcome of limited protein mobility. Moreover, continued refinement of the highly effective compound candidates will establish a critical theoretical foundation for creating and developing new CXCR2 inhibitors.

Authors

Institutions

Publication Details

Journal
Discover Chemistry.
Published
2025-05-24
DOI
https://doi.org/10.1007/s44371-025-00205-z
Citations
2
Primary Topic
Chemokine receptors and signaling
Type
article
Field-Weighted Citation Impact
2.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the anti-tumor mechanisms of thiourea-derived CXCR2 antagonists: a computational perspective

Tahar Lakhlifi, Kamal Tabti, Mohamed Ouabane, Mohammed Bouachrıne et al.
2 citations
Discover Chemistry.
Chemokine receptors and signaling
2.09
article

Exploring the anti-tumor mechanisms of thiourea-derived CXCR2 antagonists: a computational perspective

Tahar Lakhlifi, Kamal Tabti, Mohamed Ouabane, Mohammed Bouachrıne, Hanane Zaki, Khadija Zaki, Abdelouahid Sbai, Chakib Sekkate
article en
2 citations

Abstract

Cancer stands as one of the most difficult health challenges, posing significant dangers due to its ability to proliferate uncontrollably and spread throughout the body. CXCR2 is a G-protein coupled receptor that has significant interference in tumor development and metastasis. Its overexpression is related to poor prognosis in various cancer types and malignancies, and its inhibition suppresses tumor growth, angiogenesis, and metastasis of several cancers. Its therapeutic target potential directed us to the study of thirty thiourea derivatives with CXCR2 inhibition activity using the 3D quantitative structure–activity relationship method, where an explaining CoMSIA model was derived. The visualization of the model's contour maps highlighted the positive effect of introducing substituents with bulky hydrophobic effects on the ester moiety and hydrophobic effects on the thiourea moiety, using them we designed thirteen new antagonists with enhanced activities. Furthermore, the binding mode investigation of the newly designed molecules, using molecular docking, revealed strong interactions with active site residues and extra hydrogen bonds. Moreover, dynamic simulation confirmed their stability and sustainability resulting in a desirable outcome of limited protein mobility. Moreover, continued refinement of the highly effective compound candidates will establish a critical theoretical foundation for creating and developing new CXCR2 inhibitors.

Discover Chemistry.Vol. 2(1)
Université Sultan Moulay Slimane (MA), Université Moulay Ismail de Meknes (MA)
Openalex Percentile: Top 12%
Chemokine receptors and signaling
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.