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In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer

AIM: Delineate structure-based inhibition of colony-stimulating factor-1 receptor (CSF1R) by small molecule CSF1R inhibitors in clinical development for target identification and potential lead optimization in cancer therapeutics since CSF1R is a novel predictive biomarker for immunotherapy in cance...

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Autores principales: Azhar, Zahra, Grose, Richard P., Raza, Afsheen, Raza, Zohaib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Open Exploration Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497393/
https://www.ncbi.nlm.nih.gov/pubmed/37711590
http://dx.doi.org/10.37349/etat.2023.00164
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author Azhar, Zahra
Grose, Richard P.
Raza, Afsheen
Raza, Zohaib
author_facet Azhar, Zahra
Grose, Richard P.
Raza, Afsheen
Raza, Zohaib
author_sort Azhar, Zahra
collection PubMed
description AIM: Delineate structure-based inhibition of colony-stimulating factor-1 receptor (CSF1R) by small molecule CSF1R inhibitors in clinical development for target identification and potential lead optimization in cancer therapeutics since CSF1R is a novel predictive biomarker for immunotherapy in cancer. METHODS: Compounds were in silico modelled by induced fit docking protocol in a molecular operating environment (MOE, MOE.v.2015). The 3-dimensional (3D) X-ray crystallized structure of CSF1R kinase (Protein Databank, ID 4R7H) was obtained from Research Collaboratory for Structural Bioinformatics (RSCB) Protein Databank. The 3D conformers of edicotinib, DCC-3014, ARRY-382, BLZ-945, chiauranib, dovitinib, and sorafenib were obtained from PubChem Database. These structures were modelled in Amber10:EHT molecular force field, and quick prep application was used to correct and optimize the structures for missing residues, H-counts, termini capping, and alternates. The binding site was defined within the vicinity of the co-crystallized ligand of CSF1R kinase. The compounds were docked by the triangular matcher placement method and ranked by the London dG scoring function. The docked poses were further refined by the induced fit method. The pose with the lowest binding score (ΔG) was used to model the ligand interaction profile in Discovery Studio Visualizer v17.2. The co-crystallized ligand was docked in its apo conformation, and root-mean-square deviation was computed to validate the docking protocol. RESULTS: All 7 CSF1R inhibitors interact with residue Met637 exhibiting selectivity except for edicotinib. The inhibitors maintain CSF1R in an auto-inhibitory conformation by interacting with Asp797 of the Asp-Phe-Gly (DFG) motif and/or hindering the conserved salt bridge formed between Glu633 and Lys616 thus stabilizing the activation loop, or interacting with tryptophan residue (Trp550) in the juxtamembrane domain. DCC-3014, ARRY-382, BLZ-945, and sorafenib bind with the lowest binding energy with CSF1R kinase. CONCLUSIONS: Pyrimidines are potent inhibitors that interact with CSF1R residues. DCC-3014 and ARRY-382 exhibit exceptional pharmaceutical potential exhibiting great structural stability and affinity.
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spelling pubmed-104973932023-09-14 In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer Azhar, Zahra Grose, Richard P. Raza, Afsheen Raza, Zohaib Explor Target Antitumor Ther Original Article AIM: Delineate structure-based inhibition of colony-stimulating factor-1 receptor (CSF1R) by small molecule CSF1R inhibitors in clinical development for target identification and potential lead optimization in cancer therapeutics since CSF1R is a novel predictive biomarker for immunotherapy in cancer. METHODS: Compounds were in silico modelled by induced fit docking protocol in a molecular operating environment (MOE, MOE.v.2015). The 3-dimensional (3D) X-ray crystallized structure of CSF1R kinase (Protein Databank, ID 4R7H) was obtained from Research Collaboratory for Structural Bioinformatics (RSCB) Protein Databank. The 3D conformers of edicotinib, DCC-3014, ARRY-382, BLZ-945, chiauranib, dovitinib, and sorafenib were obtained from PubChem Database. These structures were modelled in Amber10:EHT molecular force field, and quick prep application was used to correct and optimize the structures for missing residues, H-counts, termini capping, and alternates. The binding site was defined within the vicinity of the co-crystallized ligand of CSF1R kinase. The compounds were docked by the triangular matcher placement method and ranked by the London dG scoring function. The docked poses were further refined by the induced fit method. The pose with the lowest binding score (ΔG) was used to model the ligand interaction profile in Discovery Studio Visualizer v17.2. The co-crystallized ligand was docked in its apo conformation, and root-mean-square deviation was computed to validate the docking protocol. RESULTS: All 7 CSF1R inhibitors interact with residue Met637 exhibiting selectivity except for edicotinib. The inhibitors maintain CSF1R in an auto-inhibitory conformation by interacting with Asp797 of the Asp-Phe-Gly (DFG) motif and/or hindering the conserved salt bridge formed between Glu633 and Lys616 thus stabilizing the activation loop, or interacting with tryptophan residue (Trp550) in the juxtamembrane domain. DCC-3014, ARRY-382, BLZ-945, and sorafenib bind with the lowest binding energy with CSF1R kinase. CONCLUSIONS: Pyrimidines are potent inhibitors that interact with CSF1R residues. DCC-3014 and ARRY-382 exhibit exceptional pharmaceutical potential exhibiting great structural stability and affinity. Open Exploration Publishing 2023 2023-08-31 /pmc/articles/PMC10497393/ /pubmed/37711590 http://dx.doi.org/10.37349/etat.2023.00164 Text en © The Author(s) 2023. https://creativecommons.org/licenses/by/4.0/This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Azhar, Zahra
Grose, Richard P.
Raza, Afsheen
Raza, Zohaib
In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
title In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
title_full In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
title_fullStr In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
title_full_unstemmed In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
title_short In silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
title_sort in silico targeting of colony-stimulating factor-1 receptor: delineating immunotherapy in cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497393/
https://www.ncbi.nlm.nih.gov/pubmed/37711590
http://dx.doi.org/10.37349/etat.2023.00164
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