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» ProDy: Protein Dynamics Inferred from Theory and Experiments
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BIOINFORMATICS
2011
8 years 7 months ago
ProDy: Protein Dynamics Inferred from Theory and Experiments
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...
Ahmet Bakan, Lidio M. Meireles, Ivet Bahar
IUI
2003
ACM
9 years 8 months ago
Inferring user goals from personality and behavior in a causal model of user affect
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
Xiaoming Zhou, Cristina Conati
BMCBI
2006
239views more  BMCBI 2006»
9 years 3 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
BMCBI
2010
147views more  BMCBI 2010»
9 years 3 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
JPDC
2007
167views more  JPDC 2007»
9 years 3 months ago
On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures
In this paper, we address the problem of multiple sequence alignment (MSA) for handling very large number of proteins sequences on mesh-based multiprocessor architectures. As the ...
Diana H. P. Low, Bharadwaj Veeravalli, David A. Ba...
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