Abstract
There is a great demand for the development of novel anticancer drugs, due to the increasing morbidity and high mortality of cancer. To date, chemotherapy still plays a central role in the clinical treatment of cancer, but this role is being reduced by targeted therapies. Since cancer is a complicated and multiple genes involved disease, drugs that act at multiple targets can enhance efficacy and lower drug resistance, and are thought to be the future of novel anticancer drug development. In this paper, we discuss the recent development of “single molecule, multi-target” anticancer agents that combine two or more pharmacophores in a single molecule, including organic multitargeted anticancer agents and metal based complexes such as platinum, ruthenium, iridium and rhodium complexes. These efforts will contribute to clinical cancer therapy and benefit patients in the future.
Keywords: Anticancer agents, Multi-targeting, Drug development, Precision medicine, BCR-ABL, Cytotoxic anticancer drug.
Graphical Abstract
Call for Papers in Thematic Issues
Adaptogens—History and Future Perspectives
Adaptogens are pharmacologically active compounds or plant extracts that are associated with the ability to enhance the body’s stability against stress. The intake of adaptogens is associated not only with a better ability to adapt to stress and maintain or normalise metabolic functions but also with better mental and physical ...read more
Addressing the Most Common Causes of Death with Niacin/NAD and Inositol Polyphosphates
The most common causes of death in the world are cardiovascular disease (CVD) and cancer. These are perhaps best addressed by reducing lipodystrophy and blockages with niacin and inositol polyphosphates (e.g., IP6+inositol) respectively when addressing CVD. Niacin serves as a vitamin by virtue of its role as a skeletal precursor ...read more
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
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