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BMCBI
2006
111views more  BMCBI 2006»
13 years 7 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
BMCBI
2007
113views more  BMCBI 2007»
13 years 7 months ago
Analysis and prediction of antibacterial peptides
Background: Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the l...
Sneh Lata, B. K. Sharma, G. P. S. Raghava
RECOMB
2005
Springer
14 years 8 months ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz
CBMS
2006
IEEE
14 years 1 months ago
MS2DB: An Algorithmic Approach to Determine Disulfide Linkage Patterns
Determining the number and location of disulfide bonds within a protein provide valuable insight into the protein’s three-dimensional structure. Purely computational methods tha...
Timothy Lee, Rahul Singh, Ten-Yang Yen, Bruce Mach...
BMCBI
2006
102views more  BMCBI 2006»
13 years 7 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...