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faculty profile |
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| Dr. Dennis Livesay |
| Associate Professor |
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Department: Computer Science | Bioinformatics Research Center |
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Office: Cameron Research Center 208 |
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Office Hours: |
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Email: drlivesa@uncc.edu |
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Phone: 704-687-7995 |
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Personal Homepage |
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Research Description:
The research interests of the Livesay lab are in the broad areas of bioinformatics and computational biology. Specifically, we use a combination of the two approaches to investigate complex molecular phenomena. These synergistic investigations provide the technical and scientific background for our broad goal of deciphering subtle sequence/structure/function relationships with protein families and superfamilies. We are currently funded by the NIH to quantify the give-and-take between protein stability and flexibility and to explore the consequences of these relationships. We also have a strong interest in the prediction of protein functional sites from sequence and/or structural data. |
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Recent Publications:
Unifying mechanical and thermodynamic descriptions across the thioredoxin protein family. Mottonen JM, Xu M, Jacobs DJ, Livesay DR (2008). PROTEINS: Structure, Function, & Bioinformatics, In press.
Improving position specific predictions of protein functional sites using phylogenetic motifs. KC DB, Livesay DR (2008). Bioinformatics, 24:2308-2316.
Conformational entropy of an ideal cross-linking polymer chain. Vorov OK, Livesay DR, Jacobs DJ (2008). Entropy, 10:285-308.
Hydrogen bond networks determine emergent mechanical and thermodynamic properties across a protein family. Livesay DR, Huynh, D, Dallakyan S, Jacobs DJ (2008). Chemistry Central Journal, 2:17.
Searching for evolutionary distant RNA homologs within genomic sequences using partition function posterior probabilities. Roshan U, Chikkagoudar S, Livesay DR (2008). BMC Bioinformatics, 9:61.
New insight into long-range nonadditivity within protein double-mutant cycles. Istomin AY, Gromiha MM, Vorov OK, Jacobs DJ, Livesay DR (2008). PROTEINS: Structure, Function, & Bioinformatics, 70(3):915-924.
Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study analyzing the neurotransmitter/Na+ symporter family. Livesay DR, Kidd PD, Eskandari S, Roshan U (2007). BMC Bioinformatics, 8:397.
How accurate and statistically robust are catalytic site predictions based on closeness centrality? Chea E, Livesay DR (2007). BMC Bioinformatics, 8:153.
Probalign: multiple sequence alignment using partition function posterior probabilities. Roshan U, Livesay DR (2006). Bioinformatics, 22(22):2715-2721.
Conserved quantified stability/flexibility relationships (QSFR) in an orthologous RNase H pair. Livesay DR, Jacobs DJ (2006). PROTEINS: Structure, Function, & Bioinformatics, 62(1):130-143.
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Research Areas:
Bioinformatics
Computational Biology
Protein Electrostatics
Protein Functional Site Prediction
Protein Stability/Flexibility Relationships
Sequence/Structure/Function Relationships
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