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BMCBI
2006
148views more  BMCBI 2006»
13 years 5 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
BMCBI
2010
117views more  BMCBI 2010»
13 years 6 months ago
Identification of NAD interacting residues in proteins
Background: Small molecular cofactors or ligands play a crucial role in the proper functioning of cells. Accurate annotation of their target proteins and binding sites is required...
Hifzur Rahman Ansari, Gajendra P. S. Raghava
BMCBI
2007
136views more  BMCBI 2007»
13 years 5 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
TCBB
2011
13 years 23 days ago
Semi-Markov Models for Brownian Dynamics Permeation in Biological Ion Channels
—Constructing accurate computational models that explain how ions permeate through a biological ion channel is an important problem in biophysics and drug design. Brownian dynami...
Vikram Krishnamurthy, Kai Yiu Luk
RECOMB
2002
Springer
14 years 6 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...