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BMCBI
2010
176views more  BMCBI 2010»
15 years 4 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
BMCBI
2010
117views more  BMCBI 2010»
15 years 4 months ago
Beyond rotamers: a generative, probabilistic model of side chains in proteins
Background: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution stru...
Tim Harder, Wouter Boomsma, Martin Paluszewski, Je...
BMCBI
2007
179views more  BMCBI 2007»
15 years 4 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
BMCBI
2008
114views more  BMCBI 2008»
15 years 4 months ago
Testing the Coulomb/Accessible Surface Area solvent model for protein stability, ligand binding, and protein design
Background: Protein structure prediction and computational protein design require efficient yet sufficiently accurate descriptions of aqueous solvent. We continue to evaluate the ...
Marcel Schmidt am Busch, Anne Lopes, Najette Amara...
BMCBI
2008
144views more  BMCBI 2008»
15 years 4 months ago
PDTD: a web-accessible protein database for drug target identification
Background: Target identification is important for modern drug discovery. With the advances in the development of molecular docking, potential binding proteins may be discovered b...
Zhenting Gao, Honglin Li, Hailei Zhang, Xiaofeng L...