Abstract
Bing Yan got his Ph.D. from Columbia University in 1990 and carried out postdoctoral research at University of Cambridge, U.K. and University of Texas Medical School in Houston from 1990 to 1993. From 1993 to 2005, he worked at Novartis in New Jersey, Discovery Partners International in South San Francisco, and Bristol-Myers Squibb in Connecticut. Now he is a Full Member at Department of Chemical Biology and Therapeutics, St. Jude Childrens Research Hospital in Memphis, Tennessee and Professor at Shandong University, China. He serves as Associate Editor for ACS Combinatorial Sciences (formerly Journal of Combinatorial Chemistry), published by American Chemical Society. He is also editor of book series “Critical Reviews in Combinatorial Chemistry” published by Francis & Taylor Group. He is engaged in research on the elucidation and regulation of nanoparticles biological activities.
Call for Papers in Thematic Issues
Artificial Intelligence Methods for Biomedical, Biochemical and Bioinformatics Problems
Recently, a large number of technologies based on artificial intelligence have been developed and applied to solve a diverse range of problems in the areas of biomedical, biochemical and bioinformatics problems. By utilizing powerful computing resources and massive amounts of data, methods based on artificial intelligence can significantly improve the ...read more
Emerging trends in diseases mechanisms, noble drug targets and therapeutic strategies: focus on immunological and inflammatory disorders
Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more
Exploring Spectral Graph Theory in Combinatorial Chemistry
Scope of the Thematic Issue: Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute force experimentation, which can be time-consuming and resource-intensive. Spectral Graph Theory, a branch of mathematics dealing with the properties of graphs in relation to the ...read more
Integrating Network Pharmacology and Traditional Medicine: A New Perspective in Drug Mechanism Research
Network pharmacology is a network construction and network topology analysis strategy that combines pharmacology and pharmacodynamics. In recent years, network pharmacology has emerged as a powerful tool that can be integrated with pharmacology. Natural products commonly function in multicomponent, multitarget, and multipathway systems. Some examples encompass Ayurveda, traditional Chinese medicines ...read more
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