Emerging Science
Co-occurring concepts reveal new research directions in immuno-oncology
Concept co-occurrence analysis shows the newest ideas in scientific discovery and drives innovation in immuno-oncology.
Bio
Julian Ivanov brings rare depth to the intersection of chemistry and data science. With a background that spans computational chemistry, environmental research, and scientific informatics, he applies rigorous quantitative methods to problems at the frontier of chemical knowledge. Before joining CAS, he held computational chemistry roles at Case Western Reserve University, The Ohio State University and Multicase, Inc. and conducted research at the Centre for Environmental Research (UFZ) in Leipzig. He holds a Ph.D. in Theoretical Chemistry from the Institute of Organic Chemistry at the Bulgarian Academy of Sciences, and Masters and Bachelors degrees in Organic Chemistry from Bourgas Technological University.
Digital R&D
How AI drug discovery is identifying TBK1 inhibitors
How QSAR modeling and machine learning identify potential new drug compounds for kinase inhibitors
Drug Discovery
Seeking COVID-19 therapeutic candidates with a computational approach
Learn how machine learning procedures and CAS COVID-19 resources, including scientific insights, open access datasets and special reports are assisting in the research to fight against COVID-19.