Jarek Meller, PhD

Graduate Program Director, Division of Biomedical Informatics

Academic Affiliations

Associate Professor, UC Department of Environmental Health

Phone 513-636-0270

Fax 513-636-2056

Email jmeller@cchmc.org

Dr. Meller serves as graduate program director for Biomedical Informatics and also pursues several lines of research in molecular modeling, structural bioinformatics and computational genomics, at the intersection of data science and biomedicine.

Dr. Meller and his group have developed a number of successful methods for the prediction of protein structure, protein-protein interactions and functional hot spots in proteins. Several web servers developed by the group, including Sable, Sppider, Minnou and Polyview have widely been used, with a total of over 1 million submissions from more than 30,000 users in many countries.

Dr. Meller has also been active in the development and applications of methods for knowledge extraction from high dimensional genomic data. He and his group have been involved in many collaborative projects with direct medical relevance. Examples include identification of markers associated with disease subtypes in cancer and autoimmunity, modeling of signal transduction pathways in differentiation and development, and developing inhibitors of critical protein-protein interactions in autophagy, bone marrow transplants, and pathogen-host interactions.

PhD: Biomedical Engineering, Polish Academy of Sciences, Warsaw, 2004.

View Publications on Google Scholar

Porollo A, Meller J. Prediction-based fingerprints of protein-protein interactions. Proteins. 2007 Feb 15;66(3):630-45.

Sinha AU, Meller J. Cinteny: flexible analysis and visualization of synteny and genome rearrangements in multiple organisms. BMC Bioinformatics. 2007 Mar 8;8:82.

Cao B, Porollo A, Adamczak R, Jarrell M, Meller J. Enhanced recognition of protein transmembrane domains with prediction-based structural profiles. Bioinformatics. 2006 Feb 1;22(3):303-9.

Adamczak R, Porollo A, Meller J. Combining prediction of secondary structure and solvent accessibility in proteins. Proteins. 2005 May 15;59(3):467-75.

Adamczak R, Porollo A, Meller J. Accurate prediction of solvent accessibility using neural networks-based regression. Proteins. 2004 Sep 1;56(4):753-67.