Computer‐Aided Design of VEGFR‐2 Inhibitors as Anticancer Agents: A Review DOI
Abdullahi İbrahim Uba

Journal of Molecular Recognition, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Due to its intricate molecular and structural characteristics, vascular endothelial growth factor receptor 2 (VEGFR-2) is essential for the development of new blood vessels in various pathological processes conditions, especially cancers. VEGFR-2 inhibitors have demonstrated significant anticancer effects by blocking many signaling pathways linked tumor growth, metastasis, angiogenesis. Several small compounds, including well-tolerated sunitinib sorafenib, been approved as inhibitors. However, widespread side these inhibitors-hypertension, epistaxis, proteinuria, upper respiratory infection-motivate researchers search with better pharmacokinetic profiles. The key interactions required interaction molecules protein target produce desired pharmacological are identified using computer-aided drug design (CADD) methods such pharmacophore QSAR modeling, structure-based virtual screening, docking, dynamics (MD) simulation coupled MM/PB(GB)SA, other computational strategies. This review discusses applications inhibitor design. Future designs may be influenced this review, which focuses on current trends multiple screening layers

Language: Английский

QSAR, ADMET, molecular docking, and dynamics studies of 1,2,4-triazine-3(2H)-one derivatives as tubulin inhibitors for breast cancer therapy DOI Creative Commons
Mohamed Moussaoui, Soukayna Baammi, Hatim Soufi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 16, 2024

Abstract Breast cancer remains a leading cause of cancer-related deaths among women globally, necessitating the development more effective therapeutic agents with minimal side effects. This study explores novel 1,2,4-triazine-3(2H)-one derivatives as potential inhibitors Tubulin, pivotal protein in cell division, highlighting targeted approach therapy. Using an integrated computational approach, we combined quantitative structure–activity relationship (QSAR) modeling, ADMET profiling, molecular docking, and dynamics simulations to evaluate predict efficacy stability these compounds. Our QSAR models, developed through rigorous statistical analysis, revealed that descriptors such absolute electronegativity water solubility significantly influence inhibitory activity, achieving predictive accuracy (R 2 ) 0.849. Molecular docking studies identified compounds high binding affinities, particularly Pred28, which exhibited best score − 9.6 kcal/mol. conducted over 100 ns provided further insights into interactions. Pred28 demonstrated notable stability, lowest root mean square deviation (RMSD) 0.29 nm fluctuation (RMSF) values indicative tightly bound conformation Tubulin. The novelty this work lies its methodological rigor integration multiple advanced techniques pinpoint promising potential. findings advance current understanding Tubulin open avenues for synthesis experimental validation compounds, aiming offer new solutions breast treatment.

Language: Английский

Citations

11

Quantum evaluation of novel epoxides: molecular docking, dynamics simulation, pharmacokinetics, stereoselectivity, and mechanistic insights into cis-himachalone and cis-himachalol epoxidation DOI

Ilham Ait braim,

Soukayna Baammi,

Anas Ouled Aitouna

et al.

Chemistry of Heterocyclic Compounds, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0

Design and Optimization of Quinazoline Derivatives as Potent EGFR Inhibitors for Lung Cancer Treatment: A Comprehensive QSAR, ADMET, and Molecular Modeling Investigation DOI Creative Commons
Mohamed Moussaoui, Soukayna Baammi, Hatim Soufi

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(46), P. 45842 - 45857

Published: Nov. 8, 2024

The epidermal growth factor receptor (EGFR) is part of a protein family that controls cell and development. Due to its importance, EGFR has been identified as suitable target for creating novel drugs. For this research, we conducted 2D-QSAR analysis on set 31 molecules derived from quinazoline, which exhibited inhibitory activity against human lung cancer. This investigation incorporated principal component (PCA) multiple linear regression (MLR), leading the development QSAR models with strong predictive capabilities (

Language: Английский

Citations

3

Receptor tyrosine kinases in breast cancer treatment: unraveling the potential DOI
Qi Yu,

Shumin Deng,

Kuan-Song Wang

et al.

American Journal of Cancer Research, Journal Year: 2024, Volume and Issue: 14(9), P. 4172 - 4196

Published: Jan. 1, 2024

Breast cancer is a multifactorial disease driven by acquired genetic and epigenetic changes that lead to aberrant regulation of cellular signaling pathways. Receptor tyrosine kinases (RTKs), class critical receptors, are involved in the initiation progression breast cancer. RTKs cell surface receptors with unique structures biological characteristics, which respond environmental signals initiating cascades such as mitogen-activated protein kinase (MAPK) pathway, Janus (JAK)/signal transducer, activator transcription (STAT) phosphoinositide 3-kinase (PI3K)/AKT pathway. The role makes them suitable targets for treatment. Targeted therapies against have been developed recent years, evaluated clinical trials, approved several types, including However, displays molecular heterogeneity exhibits different therapeutic responses various drug leading limited effectiveness targeted therapy RTKs. In this review, we summarize structural functional characteristics selected discuss mechanisms current status involving progression.

Language: Английский

Citations

0

Computer‐Aided Design of VEGFR‐2 Inhibitors as Anticancer Agents: A Review DOI
Abdullahi İbrahim Uba

Journal of Molecular Recognition, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Due to its intricate molecular and structural characteristics, vascular endothelial growth factor receptor 2 (VEGFR-2) is essential for the development of new blood vessels in various pathological processes conditions, especially cancers. VEGFR-2 inhibitors have demonstrated significant anticancer effects by blocking many signaling pathways linked tumor growth, metastasis, angiogenesis. Several small compounds, including well-tolerated sunitinib sorafenib, been approved as inhibitors. However, widespread side these inhibitors-hypertension, epistaxis, proteinuria, upper respiratory infection-motivate researchers search with better pharmacokinetic profiles. The key interactions required interaction molecules protein target produce desired pharmacological are identified using computer-aided drug design (CADD) methods such pharmacophore QSAR modeling, structure-based virtual screening, docking, dynamics (MD) simulation coupled MM/PB(GB)SA, other computational strategies. This review discusses applications inhibitor design. Future designs may be influenced this review, which focuses on current trends multiple screening layers

Language: Английский

Citations

0