Novel design and in silico optimization of 5-azaquinazoline-based IRAK4 inhibitors using qsar, docking, pharmacokinetics, and molecular dynamics for diffuse large B-Cell lymphoma

• A validated QSAR model (R² = 0.83, Q² = 0.74) was developed for 5-azaquinazoline-based IRAK4 inhibitors. • Compound 15 was optimized via ligand-based design to yield derivative 15b. • Compound 15b showed strong binding affinity (–11.5 kcal/mol) and high predicted potency. • ADMET analysis confirmed favourable absorption, drug-likeness, and non-mutagenicity. • MD simulations and MM-GBSA (–84.52 kcal/mol) confirmed stable and enhanced protein–ligand binding. • Compound 15b is proposed as a promising candidate for DLBCL-targeted therapy. Interleukin-1 receptor-associated kinase 4 (IRAK4) is a pivotal node in the MYD88–NF-κB signalling cascade, often dysregulated in diffuse large B-cell lymphoma (DLBCL). In this study, a series of 5-azaquinazoline derivatives were evaluated as potential IRAK4 inhibitors using a fully integrated computational workflow. A statistically robust QSAR model (R² = 0.83, Q²_LOO = 0.74, CCC = 0.86) identified four key descriptors influencing bioactivity, offering interpretability and strong predictive reliability. Molecular docking revealed Compound 15 as a lead candidate with a binding affinity of –9.7 kcal/mol and high predicted potency. Scaffold optimization yielded Compound 15b, which surpassed the reference inhibitor ND-2158 in binding strength (–11.5 kcal/mol), drug-likeness, and synthetic accessibility. ADMET predictions confirmed favourable absorption, metabolic stability, and non-mutagenicity. Molecular dynamics simulations over 100 ns demonstrated stable protein-ligand interactions, while MM-GBSA binding free energy calculations validated its enhanced affinity (–84.52 kcal/mol vs. –57.86 kcal/mol for ND-2158). These results position Compound 15b as a promising 5-azaquinazoline-based IRAK4 inhibitor with potential for further development in DLBCL therapy.

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Publication Details

Journal
In Silico Research in Biomedicine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.insi.2025.100047
Citations
10
Primary Topic
Toxin Mechanisms and Immunotoxins
Type
article
Field-Weighted Citation Impact
7.97
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article

Novel design and in silico optimization of 5-azaquinazoline-based IRAK4 inhibitors using qsar, docking, pharmacokinetics, and molecular dynamics for diffuse large B-Cell lymphoma

Adamu Uzairu, Muhammad Tukur Ibrahim, Sani Uba, Josiah Joseph Isah
10 citations
In Silico Research in Biomedicine
Toxin Mechanisms and Immunotoxins
7.97
article

Novel design and in silico optimization of 5-azaquinazoline-based IRAK4 inhibitors using qsar, docking, pharmacokinetics, and molecular dynamics for diffuse large B-Cell lymphoma

Adamu Uzairu, Muhammad Tukur Ibrahim, Sani Uba, Josiah Joseph Isah
article en
10 citations

Abstract

• A validated QSAR model (R² = 0.83, Q² = 0.74) was developed for 5-azaquinazoline-based IRAK4 inhibitors. • Compound 15 was optimized via ligand-based design to yield derivative 15b. • Compound 15b showed strong binding affinity (–11.5 kcal/mol) and high predicted potency. • ADMET analysis confirmed favourable absorption, drug-likeness, and non-mutagenicity. • MD simulations and MM-GBSA (–84.52 kcal/mol) confirmed stable and enhanced protein–ligand binding. • Compound 15b is proposed as a promising candidate for DLBCL-targeted therapy. Interleukin-1 receptor-associated kinase 4 (IRAK4) is a pivotal node in the MYD88–NF-κB signalling cascade, often dysregulated in diffuse large B-cell lymphoma (DLBCL). In this study, a series of 5-azaquinazoline derivatives were evaluated as potential IRAK4 inhibitors using a fully integrated computational workflow. A statistically robust QSAR model (R² = 0.83, Q²_LOO = 0.74, CCC = 0.86) identified four key descriptors influencing bioactivity, offering interpretability and strong predictive reliability. Molecular docking revealed Compound 15 as a lead candidate with a binding affinity of –9.7 kcal/mol and high predicted potency. Scaffold optimization yielded Compound 15b, which surpassed the reference inhibitor ND-2158 in binding strength (–11.5 kcal/mol), drug-likeness, and synthetic accessibility. ADMET predictions confirmed favourable absorption, metabolic stability, and non-mutagenicity. Molecular dynamics simulations over 100 ns demonstrated stable protein-ligand interactions, while MM-GBSA binding free energy calculations validated its enhanced affinity (–84.52 kcal/mol vs. –57.86 kcal/mol for ND-2158). These results position Compound 15b as a promising 5-azaquinazoline-based IRAK4 inhibitor with potential for further development in DLBCL therapy.

In Silico Research in BiomedicineVol. 1
Ahmadu Bello University (NG), Federal Ministry of Health (NG)
Openalex Percentile: Top 2%
Toxin Mechanisms and Immunotoxins
7.97
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