Optimization of a new score function for the detection of remote homologs
β Scribed by Maricel Kann; Bin Qian; Richard A. Goldstein
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 113 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0887-3585
No coin nor oath required. For personal study only.
β¦ Synopsis
The growth in protein sequence data has placed a premium on ways to infer structure and function of the newly sequenced proteins. One of the most effective ways is to identify a homologous relationship with a protein about which more is known. While close evolutionary relationships can be confidently determined with standard methods, the difficulty increases as the relationships become more distant. All of these methods rely on some score function to measure sequence similarity. The choice of score function is especially critical for these distant relationships. We describe a new method of determining a score function, optimizing the ability to discriminate between homologs and non-homologs. We find that this new score function performs better than standard score functions for the identification of distant homologies. Proteins 2000;41:498 -503.
π SIMILAR VOLUMES
In many practical problems, we must optimize a set function, i.e., find a set A for which Ε½ . f A Βͺ max, where f is a function defined on the class of sets. Such problems appear in design, in image processing, in game theory, etc. Most optimization problems can be Ε½ . solved or at least simplified b
C ell-culture techniques have long been consid- ered the ''gold standard'' for the detection of Chlamydia trachomatis. The major advantage of cellculture isolation is the specificity, which approaches 100%; however, even in experienced laboratories, its sensitivity is only 70-80%. 1-3 Its primary us
Fock scattering functions are necessarily used in the solution of cur¨ed surface diffraction problems faced by terrestrial communication system designers. These functions must be interpolated when their arguments are between y3 and 2. In the con¨entional method, a two-point Lagrange formula is used