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BMCBI
2004
174views more  BMCBI 2004»
13 years 8 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
BMCBI
2008
137views more  BMCBI 2008»
13 years 8 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
BMCBI
2010
133views more  BMCBI 2010»
13 years 8 months ago
Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical
Background: Many structural properties such as solvent accessibility, dihedral angles and helix-helix contacts can be assigned to each residue in a membrane protein. Independent s...
Shandar Ahmad, Yumlembam Hemjit Singh, Yogesh Paud...
BMCBI
2007
119views more  BMCBI 2007»
13 years 8 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
ARTMED
2004
133views more  ARTMED 2004»
13 years 8 months ago
Bayesian network multi-classifiers for protein secondary structure prediction
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
Víctor Robles, Pedro Larrañaga, Jos&...