BMCBI
2005
13 years 7 months ago
2005
Background: Protein-protein association is essential for a variety of cellular processes and hence a large number of investigations are being carried out to understand the princip...
NAR
2008
13 years 7 months ago
2008
AAindex is a database of numerical indices representing various physicochemical and biochemical properties of amino acids and pairs of amino acids. We have added a collection of p...
JCC
2006
13 years 7 months ago
2006
: We present a computational protein design algorithm for finding low-energy sequences of fixed amino acid composition. The search algorithms used in protein design typically do no...
BMCBI
2007
13 years 7 months ago
2007
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...
BMCBI
2007
13 years 7 months ago
2007
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
BMCBI
2007
13 years 7 months ago
2007
Background: In structural genomics, an important goal is the detection and classification of protein–protein interactions, given the structures of the interacting partners. We h...
CANDC
2006
ACM
13 years 7 months ago
2006
ACM
The function of eukaryotic protein is closely correlated with its subcellular location. The number of newly found protein sequences entering into data banks is rapidly increasing ...
BMCBI
2006
13 years 7 months ago
2006
Background: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs in nucleotide as well as amino acid sequences....
BMCBI
2006
13 years 7 months ago
2006
Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
BMCBI
2006
13 years 7 months ago
2006
Background: Understanding the molecular details of protein-DNA interactions is critical for deciphering the mechanisms of gene regulation. We present a machine learning approach f...