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BMCBI
2005
121views more  BMCBI 2005»
13 years 5 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
BMCBI
2005
104views more  BMCBI 2005»
13 years 5 months ago
Scoring functions for transcription factor binding site prediction
Background: Transcription factor binding site (TFBS) prediction is a difficult problem, which requires a good scoring function to discriminate between real binding sites and backg...
Markus T. Friberg, Peter von Rohr, Gaston H. Gonne...
LREC
2010
155views Education» more  LREC 2010»
13 years 7 months ago
Automatic Acquisition of Chinese Novel Noun Compounds
Automatic acquisition of novel compounds is notoriously difficult because most novel compounds have relatively low frequency in a corpus. The current study proposes a new method t...
Meng Wang, Chu-Ren Huang, Shiwen Yu, Weiwei Sun
BMCBI
2010
112views more  BMCBI 2010»
13 years 5 months ago
Orientation-dependent backbone-only residue pair scoring functions for fixed backbone protein design
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
Andrew J. Bordner
BMCBI
2010
105views more  BMCBI 2010»
13 years 5 months ago
A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction
Background: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propo...
Tiejun Cheng, Zhihai Liu, Renxiao Wang