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GECCO
2003
Springer
14 years 4 months ago
Selection in the Presence of Noise
For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
Jürgen Branke, Christian Schmidt 0002
BMCBI
2010
112views more  BMCBI 2010»
13 years 11 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
104views more  BMCBI 2010»
13 years 11 months ago
A novel scoring function for discriminating hyperthermophilic and mesophilic proteins with application to predicting relative th
Background: The ability to design thermostable proteins is theoretically important and practically useful. Robust and accurate algorithms, however, remain elusive. One critical pr...
Yunqi Li, C. Russell Middaugh, Jianwen Fang
BMCBI
2005
115views more  BMCBI 2005»
13 years 11 months ago
Statistical distributions of optimal global alignment scores of random protein sequences
Background: The inference of homology from statistically significant sequence similarity is a central issue in sequence alignments. So far the statistical distribution function un...
Hongxia Pang, Jiaowei Tang, Su-Shing Chen, Shiheng...
BMCBI
2010
105views more  BMCBI 2010»
13 years 11 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