Multi-targeted HDAC Inhibitors as Anticancer Agents: Current Status and Future Prospective

Abstract

Multi-targeted agents can interact with multiple targets sequentially, resulting in synergistic and more effective therapies for several complicated disorders, including cancer, even with relatively modest activity. Histone deacetylase (HDAC) inhibitors are low molecular weight small compounds that increase the acetylation of histone and nonhistone proteins, altering gene expression and thereby impacting angiogenesis, metastasis, and apoptosis, among other processes. The HDAC inhibitors affect multiple cellular pathways thus producing adverse issues, causing therapeutic resistance, and they have poor pharmacokinetic properties. The designing of HDAC-based dual/multi-target inhibitor is an important strategy to overcome adverse effects, drug resistance and increase the effectiveness in controlling cancer. The selection of target combinations to design multitarget HDAC inhibitor is generally accomplished on the basis of systematic highthroughput screening (HTS), network pharmacology analysis methods. The identification of the pharmacophore against individual targets is performed using rational or computation methods. The identified pharmacophore can combine with merged, fused, or linked with the cleavable or non-cleavable linker to retain the interaction with the original target while being compatible with the other target. The objective of this review is to elucidate the potential targets' design strategies, biological activity, and the recent development of dual/multi-targeting HDAC inhibitors as potential anticancer agents. This review elucidates the designing strategies of the potential target along with biological activity and the recent development of dual/multi-targeting HDAC inhibitors as potential anticancer agents. The development of HDAC-based dual/multi-target inhibitors is important for overcoming side effects, drug resistance, and effective cancer control.

Keywords: HDAC inhibitor; Histone deacetylase; anticancer; computational methods; designing strategies; dual/multi-targeting; recent development.