ORIGINAL RESEARCH article

Front. Chem.

Sec. Theoretical and Computational Chemistry

Volume 13 - 2025 | doi: 10.3389/fchem.2025.1582515

Stable H-bond networks are crucial for selective CLK1 inhibition: a computational perspective

Provisionally accepted
Yuzhou  HuangYuzhou Huang1Baichun  HuBaichun Hu1Jian  WangJian Wang1Haihan  LiuHaihan Liu1Na  DuanNa Duan2*
  • 1Shenyang Pharmaceutical University, Shenyang, Liaoning Province, China
  • 2The People's Hospital of Liaoning Province, Shenyang, China

The final, formatted version of the article will be published soon.

Studying the selectivity mechanism of inhibitors towards highly similar isoforms is an important task in the development of new drugs, which are designed to avoid the undesired side effects in vivo. CDC-like kinase isoforms (CLKs) are serine/threonine protein kinases that are involved in the phosphorylation of mRNA spliceosomes leading to the regulation of gene expression. The CLK isoforms are expressed in most human tissues and cells, but the expression levels of each isoform vary in different cells.Typically, CLK3 is expressed in male testes and sperm, by contrast, as a potential cancer treatment target, the expression level of CLK1 in testicular tissue is significantly lower than other isoforms. These differences in the tissue distribution of CLK1 and CLK3 suggest that the development of selective CLK1 inhibitors to avoid potential side effects.Here, our study is designed to reveal the selectivity mechanism of CLK1 inhibition from a computational perspective. In this study, the binding modes of known selective inhibitors towards CLK1/3 are discussed by computational methods such as protein comparison, molecular docking, binding free energy calculation, molecular dynamics simulations, alanine mutagenesis simulations, and quantum mechanical calculation.The simulations reveal selective key roles involved in CLK1/3 binding, including protein-ligand interactions, mutations, and conformational differences in key amino acid residues. This study will contribute to analyze the selectivity mechanism of CLKs inhibitors and bring insight into the development of novel selective inhibitor drugs.

Keywords: CLK1, CLK3, Selective inhibitor, molecular docking, Molecular Dynamics Simulation

Received: 05 Mar 2025; Accepted: 09 May 2025.

Copyright: © 2025 Huang, Hu, Wang, Liu and Duan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Na Duan, The People's Hospital of Liaoning Province, Shenyang, China

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