Computer-aided drug discovery of c-Abl kinase inhibitors from plant compounds against chronic myeloid leukemia.
Mohammed M AlshehriNeeraj KumarNajwa Ahmad KuthiZainab OlaideMohammed Kanan AlshammariRidwan Opeyemi BelloMohammed Khalid AlghazwniAhmed Mughram AlshehriOmaymah Mohammed AlshlaliZainab Ashimiyu-AbdusalamHaruna Isiyaku UmarPublished in: Journal of biomolecular structure & dynamics (2024)
Chronic myeloid leukemia (CML) is a hematological malignancy characterized by the neoplastic transformation of hematopoietic stem cells, driven by the Philadelphia (Ph) chromosome resulting from a translocation between chromosomes 9 and 22. This Ph chromosome harbors the breakpoint cluster region (BCR) and the Abelson (ABL) oncogene (BCR-ABL1) which have a constitutive tyrosine kinase activity. However, the tyrosine kinase activity of BCR-ABL1 have been identified as a key player in CML initiation and maintenance through c-Abl kinase. Despite advancements in tyrosine kinase inhibitors, challenges such as efficacy, safety concerns, and recurring drug resistance persist. This study aims to discover potential c-Abl kinase inhibitors from plant compounds with anti-leukemic properties, employing drug-likeness assessment, molecular docking, in silico pharmacokinetics (ADMET) screening, density function theory (DFT), and molecular dynamics simulations (MDS). Out of 58 screened compounds for drug-likeness, 44 were docked against c-Abl kinase. The top hit compound (isovitexin) and nilotinib (control drug) were subjected to rigorous analyses, including ADMET profiling, DFT evaluation, and MDS for 100 ns. Isovitexin demonstrated a notable binding affinity (-15.492 kcal/mol), closely comparable to nilotinib (-16.826 kcal/mol), showcasing a similar binding pose and superior structural stability and reactivity. While these findings suggest isovitexin as a potential c-Abl kinase inhibitor, further validation through urgent in vitro and in vivo experiments is imperative. This research holds promise for providing an alternative avenue to address existing CML treatment and management challenges.Communicated by Ramaswamy H. Sarma.
Keyphrases
- chronic myeloid leukemia
- molecular docking
- tyrosine kinase
- molecular dynamics simulations
- epidermal growth factor receptor
- stem cells
- drug discovery
- copy number
- bone marrow
- acute lymphoblastic leukemia
- gene expression
- risk assessment
- dna methylation
- artificial intelligence
- zika virus
- human health
- deep learning
- transcription factor
- aedes aegypti