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BMCBI
2007
109views more  BMCBI 2007»
15 years 1 months ago
A domain-based approach to predict protein-protein interactions
Background: Knowing which proteins exist in a certain organism or cell type and how these proteins interact with each other are necessary for the understanding of biological proce...
Mudita Singhal, Haluk Resat
123
Voted
BMCBI
2004
114views more  BMCBI 2004»
15 years 1 months ago
HMM Logos for visualization of protein families
Background: Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central a...
Benjamin Schuster-Böckler, Jörg Schultz,...
103
Voted
CIBCB
2005
IEEE
15 years 7 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
117
Voted
ESWA
2007
117views more  ESWA 2007»
15 years 1 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
ICASSP
2007
IEEE
15 years 8 months ago
Evolutionary Sequence Modeling for Discovery of Peptide Hormones
There are currently a large number of ‘‘orphan’’ G-protein-coupled receptors (GPCRs) whose endogenous ligands (peptide hormones) are unknown. Identification of these pepti...
M. Kemal Sönmez, Lawrence Toll, Nina Zaveri