The Perplexity of Synergistic Duality: Inter-molecular Mechanisms of Communication in BCR-ABL1

Author(s):

Ahmed A. Elrashedy, Pritika Ramharack and Mahmoud E.S. Soliman*   Pages 1642 - 1650 ( 9 )

Abstract:

<P>Background: Aberrant and proliferative expression of the oncogene BCR-ABL in bone marrow cells is one of the prime causes of Chronic Myeloid Leukemia (CML). It has been established that the tyrosine kinase domain of the BCR-ABL protein is a potential therapeutic target for the treatment of CML. Although the first and second line inhibitors against the enzyme are available, recent studies have indicated that monotherapeutic resistance has become a great challenge. </P><P> Objective: In recent studies, the dual inhibition of BCR-ABL by Nilotinib and Asciminib has been shown to overcome drug resistance. This prompted us to investigate the dynamics behind this novel drug combination. </P><P> Methods: By the utilization of a wide range of computational tools, we defined and compared BCR-ABL’s structural and dynamic characteristics when bound as a dual inhibitor system. </P><P> Results: Conformational ensemble analysis presented a sustained inactive protein, as the activation loop, inclusive of the characteristic Tyr257, remained in an open position due to the unassailable binding of Asciminib at the allosteric site. Nilotinib also indicated stronger binding at the catalytic site in the presence of Asciminib, thus exposing new avenues in treating Nilotinib-resistance. This was in accordance with intermolecular hydrogen bond interactions with key binding site residues GLU399, Asn259 and Thr252. </P><P> Conclusion: The investigations carried out in this study gave rise to new possibilities in the treatment of resistance in CML, as well as assisting in the design of novel and selective inhibitors as dual anti-cancer drugs.</P>

Keywords:

Dual inhibition, CML therapy, anti-cancer drugs, allosteric inhibition, synergistic duality, BCR-ABL1.

Affiliation:

Molecular Bio-Computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-Computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-Computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001

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