Kurgan’s research aims to improve understanding of life at the molecular level using computer-based modeling
Lukasz Kurgan, Ph.D., the Robert J. Mattauch Professor and Associate Chair of VCU’s Department of Computer Science, has been inducted into the European Academy of Sciences and Arts (EASA). He is among 38 new members EASA selected from 11 nations. The induction ceremony took place in April 2023 in Salzburg, Austria.
Kurgan’s research aims to improve understanding of life at the molecular level using computer-based modeling. His research team specializes in computational characterization of proteins, with the long-term goals to define the relations between protein sequences, structures and functions and to apply this new knowledge to uncover mechanisms underlying selected diseases and their therapeutic interventions… Continue reading.
A computer science research team from VCU Engineering won an international challenge for their novel method of predicting intrinsically disordered proteins. These proteins are inherently unstructured and have been found to be associated with cancers, cardiovascular and neurodegenerative diseases, which makes them promising targets for drug discovery.
Lukasz Kurgan, Ph.D., the Robert J. Mattauch Professor and vice chair of VCU’s Department of Computer Science, and a team of his doctoral students and collaborators won first place in Critical Assessment of Protein Intrinsic Disorder Prediction (CAID). This worldwide challenge was established as a community-based blind test to identify the most accurate methods that predict unstructured protein regions… Continue reading.
WASHINGTON, D.C.—The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Lukasz Kurgan, Ph.D., Qimonda Professor, Computer Science, Virginia Commonwealth University, to its College of Fellows. Dr. Kurgan was nominated, reviewed, and elected by peers and members of the College of Fellows for outstanding contributions to structural bioinformatics, focusing on protein-ligand and protein-nucleic acids interactions and computational characterization of intrinsic disorder.