## Abstract The evolution of our physics‐based computational methods for determining protein conformation without the introduction of secondary‐structure predictions, homology modeling, threading, or fragment coupling is described. Initial use of a hard‐sphere potential captured much of the structu
A Conformational Analysis Method for Understanding the Energy Landscapes of Clusters
✍ Scribed by Longjiu Cheng; Wensheng Cai ; Xueguang Shao
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 437 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1439-4235
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✦ Synopsis
Abstract
A newly developed unbiased structural optimization method, named dynamic lattice searching (DLS), is proposed as an approach for conformational analysis of atomic/molecular clusters and used in understanding the energy landscape of large clusters. The structures of clusters are described in terms of the number of basic tetrahedron (BT) units they contain. We found that the hit numbers of different structural motifs in DLS runs is proportional to the number of BTs. A parameter T~max~ is defined to limit the maximal number of atoms moved in a structural transition. Results show that T~max~ is a key parameter for modulating the efficiency of the DLS method and has a great influence on the hit number of different motifs in DLS runs. Finally, the effect of potential range on the conformational distribution of the (Morse)~98~ cluster is also discussed with different potential‐range parameters.
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