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RECOMB
2006
Springer
14 years 5 months ago
Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
Sauro Menchetti, Andrea Passerini, Paolo Frasconi,...
BMCBI
2005
122views more  BMCBI 2005»
13 years 5 months ago
Quantitative analysis of EGR proteins binding to DNA: assessing additivity in both the binding site and the protein
Background: Recognition codes for protein-DNA interactions typically assume that the interacting positions contribute additively to the binding energy. While this is known to not ...
Jiajian Liu, Gary D. Stormo
RECOMB
2005
Springer
14 years 5 months ago
Predicting Transcription Factor Binding Sites Using Structural Knowledge
Abstract. Current approaches for identification and detection of transcription factor binding sites rely on an extensive set of known target genes. Here we describe a novel structu...
Tommy Kaplan, Nir Friedman, Hanah Margalit
SIAMREV
2011
61views more  SIAMREV 2011»
12 years 8 months ago
The Mathematics of Atmospheric Dispersion Modeling
The Gaussian plume model is a standard approach for studying the transport of airborne contaminants due to turbulent diffusion and advection by the wind. This paper reviews the as...
John M. Stockie
TCBB
2008
103views more  TCBB 2008»
13 years 5 months ago
DNA Motif Representation with Nucleotide Dependency
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...
Francis Y. L. Chin, Henry C. M. Leung