Abstract
Recent advances in stem cell biology may make possible new approaches for the treatment of a number of diseases including cardiovascular disease, neurodegenerative disease, musculoskeletal disease, diabetes and cancer. These approaches could involve cell replacement therapy and / or drug treatment to stimulate the bodys own regenerative capabilities by promoting survival, migration / homing, proliferation, and differentiation of endogenous stem / progenitor cells. However, such approaches will require identification of renewable cell sources of engraftable functional cells, an improved ability to manipulate their proliferation and differentiation, as well as a better understanding of the signaling pathways that control their fate. Cell-based phenotypic and pathway-specific screens of synthetic small molecules and natural products have historically provided useful chemical ligands to modulate and / or study complex cellular processes, and recently provided a number of small molecules that can be used to selectively regulate stem cell fate and developmental signaling pathways. Such molecules will likely provide new insights into stem cell biology, and may ultimately contribute to effective medicines for tissue repair and regeneration.
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
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
Challenges, Consequences and Possible Treatments of Anticancer Drug Discovery ll
The use of several compounds has been the subject of increasing interest in phytochemistry, biochemistry, and other fields of research at the chemistry-biology-ecosystems interface. In spite of the continued search for new anticancer drugs, cancer remains a leading cause of death. Cancer mortalities are expected to increase to 12.9 million, ...read more
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