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BICOB
2009
Springer
13 years 9 months ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
BMCBI
2010
159views more  BMCBI 2010»
13 years 5 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
BMCBI
2007
130views more  BMCBI 2007»
13 years 5 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
NAR
2007
132views more  NAR 2007»
13 years 4 months ago
Expanded protein information at SGD: new pages and proteome browser
The recent explosion in protein data generated from both directed small-scale studies and largescale proteomics efforts has greatly expanded the quantity of available protein info...
Robert S. Nash, Shuai Weng, Benjamin C. Hitz, Rama...
BMCBI
2007
141views more  BMCBI 2007»
13 years 4 months ago
Using structural motif descriptors for sequence-based binding site prediction
Background: Many protein sequences are still poorly annotated. Functional characterization of a protein is often improved by the identification of its interaction partners. Here, ...
Andreas Henschel, Christof Winter, Wan Kyu Kim, Mi...