The KU Center for Computational Biology
The Center for Computational Biology
The Center for Computational Biology (Computational Biology Program) is an academic unit with tenure-track/tenured faculty appointments in the Program and postdoctoral and graduate training.
Using bioinformatics, biophysics, structural, and systems biology, the Center carries out fundamental research in life sciences, develops computational modeling tools, fosters community-wide activities in computational biology, and provides education for the new generation of researchers.
$1.5 million NSF grant will support KU research modeling molecular systems using AI
University of Kansas researcher Ilya Vakser and colleagues at Stony Brook University and the Stowers Institute for Medical Research will use a three-year grant from the National Science Foundation to expand knowledge of macromolecular systems using artificial intelligence.
$1.8 Million NIH Grant Awarded
Ilya Vakser was awarded a five-year, $1.8 million R35 Maximizing Investigators' Research Award (MIRA) from the National Institute of General Medical Sciences. The grant entitled "Modeling of macromolecular interactions in the cell” aims at developing extra-long time scale AI-enabled simulations of live cells at atomic resolution.
IMPRESS-U Award
The Vakser Lab received an NSF award from IMPRESS-U (International Multilateral Partnerships for Resilient Education and Science System in Ukraine) program. The award will support research teams from four countries - USA (KU, lead), UK (Imperial College London), Lithuania (Vilnius University) and Ukraine (Kyiv Polytechnic Institute). The project will advance AI in biology and medicine, and contribute to building a modern, state-of-the-art research, education and innovation ecosystem in Ukraine
Vakser Lab receives $1M NSF grant to predict phenotypic effects of genetic mutations
The Vakser Lab received a 3 year $1M award from the National Science Foundation "UKRI/BBSRC - NSF/BIO: Modeling of protein interactions to predict phenotypic effects of genetic mutations”. The project (a collaboration with the Imperial College, London) focuses on application of computational techniques to the development of a public resource incorporating structural modeling of proteins and protein assemblies with genetic amino acid variants and assessment of their functional impact.