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125
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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
BIOCOMP
2006
15 years 3 months ago
A New Algorithm to Predict the Active Sites Using Amino Acid Vectors and Biochemical features of Surface Patches
: It is a very active research field to predict protein functions and active sites by protein surface patches. It is especially challengeable to predict the active sites by structu...
Sunshin Kim, Chung Rhee, Jungdo Choi, Yong Je Chun...
CIBCB
2009
IEEE
15 years 2 months ago
Improved prediction of trans-membrane spans in proteins using an artificial neural network
Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
Julia Koehler, Ralf Mueller, Jens Meiler
BMCBI
2006
102views more  BMCBI 2006»
15 years 1 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
115
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IPPS
2006
IEEE
15 years 7 months ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan