Name
Abstract | ||
|---|---|---|
We describe a method for making natural, physical movements in a chained polymer by sequentially adjusting a few neighboring torsion angles in the polymer backbone. In addition to being very fast and easy to implement, the method is also very general. It applies equally well to proteins and nucleic acids. This method is then used to design a local refinement procedure. We test the refinement procedure on the minimization of a simple energy function for proteins. The energy function has a simplified potential for hydrophobic interaction, a hydrogen-bond term, and a term for van der Waals interaction. There is considerable current interest in such simple energy functions for protein folding, When applied to refine structures found by a global search method, the refinement is able to produce large reduction in the hydrogen-bond term and the van der Waal term of the energy. We conclude that the method is particularly effective in finding good "packing" of residues in an initially compact conformation. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1089/cmb.1998.5.655 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
protein folding,RNA structure,local refinement,genetic algorithm,packing | Chemical physics,Protein folding,Polymer,Force field (chemistry),Torsion (mechanics),van der Waals force,Artificial intelligence,Hydrophobic effect,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
5.0 | 4 | 1066-5277 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wing Hung Wong | 1 | 607 | 96.45 |
| Y. Cui | 2 | 3 | 0.76 |
| R. S. Chen | 3 | 0 | 0.34 |