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» Protein Model Representation and Construction
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ISMB
1994
13 years 6 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
BMCBI
2006
81views more  BMCBI 2006»
13 years 5 months ago
Multipolar representation of protein structure
Background: That the structure determines the function of proteins is a central paradigm in biology. However, protein functions are more directly related to cooperative effects at...
Apostol Gramada, Philip E. Bourne
NAR
2011
223views Computer Vision» more  NAR 2011»
12 years 8 months ago
KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions
KUPS (The University of Kansas Proteomics Service) provides high-quality protein–protein interaction (PPI) data for researchers developing and evaluating computational models fo...
Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer
BMCBI
2004
208views more  BMCBI 2004»
13 years 5 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BMCBI
2010
163views more  BMCBI 2010»
13 years 5 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek