Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Michael Terribilini"'
Autor:
Benjamin A. Lewis, Jeff Ferguson, Rasna R. Walia, Vasant Honavar, Michael Terribilini, Drena Dobbs, Charles Zheng
Publikováno v:
Nucleic Acids Research
The Protein-RNA Interface Database (PRIDB) is a comprehensive database of protein-RNA interfaces extracted from complexes in the Protein Data Bank (PDB). It is designed to facilitate detailed analyses of individual protein-RNA complexes and their int
Autor:
Drena Dobbs, Jeffry D. Sander, Vasant Honavar, Peter Zaback, Michael Terribilini, Robert L. Jernigan, Jae-Hyung Lee
Publikováno v:
Nucleic Acids Research
Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that identifies and displays RNA-binding residues in known protein–RNA co
Autor:
Michael Terribilini, Peter Zaback, Drena Dobbs, Cornelia Caragea, Jeffry D. Sander, Xue Li, Jae-Hyung Lee, Colin Gleeson, Feihong Wu, Vasant Honavar, Michael Hamilton
Publikováno v:
Pacific Symposium on Biocomputing
Europe PubMed Central
Scopus-Elsevier
Europe PubMed Central
Scopus-Elsevier
Telomerase is a ribonucleoprotein enzyme that adds telomeric DNA repeat sequences to the ends of linear chromosomes. The enzyme plays pivotal roles in cellular senescence and aging, and because it provides a telomere maintenance mechanism for approxi
Autor:
Vasant Honavar, Robert L. Jernigan, Jae-Hyung Lee, Drena Dobbs, Michael Terribilini, Changhui Yan
Publikováno v:
RNA (New York, N.Y.). 12(8)
RNA–protein interactions are vitally important in a wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses. We have developed a computational tool for predicting
Autor:
Vasant Honavar, Feihong Wu, Drena Dobbs, Robert L. Jernigan, Michael Terribilini, Changhui Yan
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 262 (2006)
BMC Bioinformatics
BMC Bioinformatics
Background Understanding the molecular details of protein-DNA interactions is critical for deciphering the mechanisms of gene regulation. We present a machine learning approach for the identification of amino acid residues involved in protein-DNA int
Autor:
Darron Ransbarger, Alexander Blinkovsky, Tony Byun, Feng Xu, Michael Terribilini, James Langston
Publikováno v:
Applied biochemistry and biotechnology. 136(3)
Transglutaminase (TGase) is a multifunctional enzyme vital for many physiologic processes, such as cell differentiation, tissue regeneration, and plant pathogenicity. The acyl transfer function of the enzyme can activate primary amines and, consequen
Autor:
Jae-Hyung Lee, Susan Carpenter, Vasant Honavar, Changhui Yan, Michael Terribilini, Robert L. Jernigan, Drena Dobbs
Publikováno v:
Pacific Symposium on Biocomputing
Protein-protein and protein nucleic acid interactions are vitally important for a wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses. We have developed machine
Autor:
Cornelia Caragea, Drena Dobbs, Yasser EL-Manzalawy, Rasna R. Walia, Vasant Honavar, Fadi Towfic, Benjamin A. Lewis, Michael Terribilini
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 13, Iss 1, p 89 (2012)
BMC Bioinformatics, Vol 13, Iss 1, p 89 (2012)
Background RNA molecules play diverse functional and structural roles in cells. They function as messengers for transferring genetic information from DNA to proteins, as the primary genetic material in many viruses, as catalysts (ribozymes) important
Autor:
James Langston, Alexander Blinkovsky, Tony Byun, Michael Terribilini, Darron Ransbarger, Feng Xu
Publikováno v:
Applied Biochemistry & Biotechnology; Mar2007, Vol. 136 Issue 3, p291-308, 18p