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BMCBI
2005
141views more  BMCBI 2005»
14 years 9 months ago
A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...
Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiot...
BMCBI
2007
130views more  BMCBI 2007»
14 years 9 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...
BMCBI
2010
103views more  BMCBI 2010»
14 years 9 months ago
MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of r
Background: Sequence alignment is one of the most important techniques to analyze biological systems. It is also true that the alignment is not complete and we have to develop it ...
Toshihide Hara, Keiko Sato, Masanori Ohya
83
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BMCBI
2004
93views more  BMCBI 2004»
14 years 9 months ago
Predicting binding sites of hydrolase-inhibitor complexes by combining several methods
Background: Protein-protein interactions play a critical role in protein function. Completion of many genomes is being followed rapidly by major efforts to identify interacting pr...
Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jerni...
BMCBI
2006
112views more  BMCBI 2006»
14 years 9 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...