The Sensor Network in Molecular Structures of PrP(113-120) AGAAAAGA Amyloid Fibrils
Faulty of Science, School of Science, Informatics Technology and Engineering, Centre of Informatics and Applied Optimisation, The Federation University of Australia, MT Helen Campus, Mt Helen, Ballarat, Victoria 3353, Australia
- *Corresponding Author:
- Jiapu Zhang
Faulty of Science, School of Science, Informatics Technology and Engineering
Centre of Informatics and Applied Optimisation, The Federation University of Australia
MT Helen Campus, Mt Helen, Ballarat, Victoria 3353, Australia
Tel: 61423487360, 61353276335
E-mail: [email protected], [email protected]
Received Date: May 22, 2014; Accepted Date: June 02, 2014; Published Date: June 05, 2014
Citation: Zhang J (2014) The Sensor Network in Molecular Structures of PrP(113-120) AGAAAAGA Amyloid Fibrils. J Comput Sci Syst Biol 7: 137-143. doi: 10.4172/jcsb.1000148
Copyright: © 2014 Zhang J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The problem of locating sensors in telecommunication networks is a distance geometry problem (DGP). In such a case, the positions of some sensors are known (which are called anchors) and some of the distances between sensors (which can or cannot be anchors) are known. The DGP is to locate the positions of all the sensors. Molecular DGP (MDGP) looks sensors as atoms and their telecommunication network as a molecule for the determination of its three-dimensional (3D) structure. This Chapter defines some sensor networks for determining molecular structures of PrP(113-120) AGAAAAGA amyloid fibrils, which are unstable, noncrystalline, insoluble and hard to be determined in NMR or X-ray experimental laboratories. The amyloid fibril structure is the common structure associated with some 20 neurodegenerative amyloid diseases (including Parkinson’s, Alzheimer’s, Huntington’s, and Prions’), and other diseases such as Type II diabetes, etc. The sensor networks established in this Chapter will benefit the study of 3D molecular structures of all these diseases and will be useful in the research areas such as structural materials, computer-aided or structure-based drug design, and the computational theory of molecular dynamics, and quantum mechanics/molecular mechanics.