TY - JOUR
T1 - Targeting Anaplastic Lymphoma Kinase in Oncology
T2 - Identification and Computational Validation of Novel Inhibitors for Anaplastic Large Cell Lymphoma, Non-small Cell Lung Cancer, and Neuroblastoma
AU - Alam, Aftab
AU - Alqarni, Mohammed Hamed Saeed
AU - Singh, Indrakant Kumar
AU - Foudah, Ahmed Ibrahim Ibrahim
AU - Upmanyu, Neeraj
AU - Balaha, Mohamed Fatehy Hassan
N1 - Publisher Copyright:
© 2025 Bentham Science Publishers.
PY - 2025
Y1 - 2025
N2 - Background: Anaplastic Lymphoma Kinase (ALK) is implicated in several cancers, including anaplastic large cell lymphoma, non-small cell lung cancer, and neuroblastoma. Targeted inhibition of ALK represents a promising therapeutic strategy. Aims: This study aimed to identify and evaluate potential ALK inhibitors using virtual screening and computational analyses to determine their binding stability, affinity, and dynamic behavior, ultimately assessing their potential as therapeutic agents for ALK-driven cancers. Objective: The objective of this study was to identify potential ALK inhibitors using virtual screening techniques and to evaluate their binding affinities and stability through computational analyses. Methods: This study utilized virtual screening to identify potential ALK inhibitors from the MTiOpen Screen Diverse library and selected three compounds (24331480, 26536128, and 24353407) based on their binding affinities. These compounds underwent optimization using Density Functional Theory (DFT) and were re- docked to confirm binding stability. Molecular dynamics simulations, hydrogen bond analysis, MM/PBSA calculations, and PCA-based free energy landscape analysis were also carried out. Results: The re-docking experiments confirmed the stable and strong binding affinities of the selected compounds to the ALK active site. Molecular dynamics simulations revealed stable interactions throughout the 200 ns simulation period. Hydrogen bond analysis demonstrated consistent hydrogen bonds between key residues and the inhibitors. MM/PBSA calculations indicated favorable binding free energies, suggesting strong binding affinities. Finally, PCA-based free energy landscape analysis highlighted energetically favorable binding modes. Conclusion: The identified compounds (24331480, 26536128, and 24353407) exhibited promising inhibitory potential against ALK. These findings warrant further experimental validation to confirm their potential as therapeutic agents for ALK-driven cancers.
AB - Background: Anaplastic Lymphoma Kinase (ALK) is implicated in several cancers, including anaplastic large cell lymphoma, non-small cell lung cancer, and neuroblastoma. Targeted inhibition of ALK represents a promising therapeutic strategy. Aims: This study aimed to identify and evaluate potential ALK inhibitors using virtual screening and computational analyses to determine their binding stability, affinity, and dynamic behavior, ultimately assessing their potential as therapeutic agents for ALK-driven cancers. Objective: The objective of this study was to identify potential ALK inhibitors using virtual screening techniques and to evaluate their binding affinities and stability through computational analyses. Methods: This study utilized virtual screening to identify potential ALK inhibitors from the MTiOpen Screen Diverse library and selected three compounds (24331480, 26536128, and 24353407) based on their binding affinities. These compounds underwent optimization using Density Functional Theory (DFT) and were re- docked to confirm binding stability. Molecular dynamics simulations, hydrogen bond analysis, MM/PBSA calculations, and PCA-based free energy landscape analysis were also carried out. Results: The re-docking experiments confirmed the stable and strong binding affinities of the selected compounds to the ALK active site. Molecular dynamics simulations revealed stable interactions throughout the 200 ns simulation period. Hydrogen bond analysis demonstrated consistent hydrogen bonds between key residues and the inhibitors. MM/PBSA calculations indicated favorable binding free energies, suggesting strong binding affinities. Finally, PCA-based free energy landscape analysis highlighted energetically favorable binding modes. Conclusion: The identified compounds (24331480, 26536128, and 24353407) exhibited promising inhibitory potential against ALK. These findings warrant further experimental validation to confirm their potential as therapeutic agents for ALK-driven cancers.
KW - Anaplastic lymphoma kinase
KW - diverse lib
KW - free energy landscape, hydrogen bond analysis
KW - molecular dynamic simulation
KW - virtual screening
UR - https://www.scopus.com/pages/publications/105007887783
U2 - 10.2174/0113816128342778250218105338
DO - 10.2174/0113816128342778250218105338
M3 - Article
C2 - 40070330
AN - SCOPUS:105007887783
SN - 1381-6128
VL - 31
SP - 1958
EP - 1971
JO - Current Pharmaceutical Design
JF - Current Pharmaceutical Design
IS - 24
ER -