| TASK Quarterly | |
| ANEW APPROACH TO HOMOLOGY MODELING | |
| S. RACKOVSKY1  H. A. SCHERAGA1  YI HE1  | |
| [1] Cornell University, Baker Laboratory of Chemistry and Chemical Biology; | |
| 关键词: protein structure prediction; physical properties; Kidera factors; Fourier transformation; coarse-grained force field; | |
| DOI : 10.17466/TQ2014/18.3/A | |
| 来源: DOAJ | |
【 摘 要 】
The need to interpret experimental results led to, first, an all-atom force field, followed by a coarse-grained one. As an aid to these force fields, a new approach is introduced here to predict protein structure based on the physical properties of the amino acids. This approach includes three key components: Kidera factors describing the physical properties, Fourier transformation and UNRES coarse grained force field simulations. Different from traditional homology modeling methods which are based on evolution, this approach is physics-based, and does not have the same weaknesses as the traditional homology modeling methods. Our results show that this approach can produce above average prediction results, and can be used as a useful tool for protein structure prediction.
【 授权许可】
Unknown