Sequence alignment programs such as BLAST and PSI-BLAST are used routinely in pairwise, profile-based, or intermediate-sequencesearch (ISS) methods to detect remote homologies for the purposes of fold assignment and comparative modeling. Yet, the sequence alignment quality of these methods at low se
Protein structure alignment using a genetic algorithm
โ Scribed by Joseph D. Szustakowski; Zhiping Weng
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 342 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0887-3585
No coin nor oath required. For personal study only.
โฆ Synopsis
We have developed a novel, fully automatic method for aligning the three-dimensional structures of two proteins. The basic approach is to first align the proteins' secondary structure elements and then extend the alignment to include any equivalent residues found in loops or turns. The initial secondary structure element alignment is determined by a genetic algorithm. After refinement of the secondary structure element alignment, the protein backbones are superposed and a search is performed to identify any additional equivalent residues in a convergent process. Alignments are evaluated using intramolecular distance matrices. Alignments can be performed with or without sequential connectivity constraints. We have applied the method to proteins from several well-studied families: globins, immunoglobulins, serine proteases, dihydrofolate reductases, and DNA methyltransferases.
๐ SIMILAR VOLUMES
We report a new method for predicting protein tertiary structure from sequence and secondary structure information. The predictions result from global optimization of a potential energy function, including van der Waals, hydrophobic, and excluded volume terms. The optimization algorithm, which is ba
We describe an algorithm to compute native structures of proteins from their primary sequences. The novel aspects of this method are: 1) The hydrophobic potential was set to be proportional to the nonpolar solvent accessible surface. To make computation feasible, we developed a new algorithm to comp
This paper proposes high-level synthesis using a genetic algorithm that can realize register transfer level circuits from behavioral descriptions. Until now this type of synthesis problem has been separated into scheduling and allocation problems, and the two problems have been solved separately. Th
In discussing self-organizing neural networks, to some extent a large-scale network is assumed in order to achieve generality and adaptability. This paper discusses an optimal structurization method for a nonlinear network, based on a self-organizing algorithm with a two-layer structure. The basic s
This paper proposes a new VLSI placement method using genetic algorithm considering the hierarchical structure of solution space. In the proposed method, we introduce a special solution encoding which represents the hierarchical structure of solution space, and new crossover operators which can main