Dear Colleagues,

Signal transduction is a vital biological process that allows cells to respond to changes within the extracellular environment and maintain homeostasis in multicellular organisms. This process involves three steps - reception, transduction, and response - facilitated by receptor proteins that sense signals, activate molecules, and cause cascade reactions. Dysregulation of signaling pathways can lead to various diseases, making advanced research on signaling transduction networks (STN) crucial. Furthermore, artificial intelligence (AI) methodologies have revolutionized our understanding and application of signal transduction pathways, enabling the discovery of novel signaling components, pathways, and regulatory mechanisms. Integration of AI algorithms, machine learning models, and computational tools has facilitated the analysis and interpretation of complex signaling data, leading to the development of predictive models for drug discovery, personalized medicine, and systems biology. The section on Signal Transduction provides insights into the transformative potential of AI techniques in signal transduction research, exploring the symbiotic relationship between AI and cellular communication, and its impact on advancing our knowledge and applications of cellular signaling.

 

We welcome research on critical biological processes like signal transduction, pathways, and molecular networks, specifically signaling transduction network (STN) in intricate diseases. We also encourage papers on the intersection of artificial intelligence and cellular communication in signal transduction research to improve drug discovery and personalized medicine.

Dr. Mohammad Khishe

Prof. Dr. Md. Maniruzzaman

Section Editors

signal transduction; extracellular environment; receptor proteins; cascade reactions; homeostasis; dysregulation; artificial intelligence (AI); machine learning; predictive models; drug discovery;