Hydrophobic-hydrophilic forces and their effects on protein structural similarity
datasetposted on 21.11.2017 by Higgs, Trent, Stantic, Bela, Hoque, Md Tamjidul, Sattar, Abdul
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Hydrophobic-hydrophilic interactions have a strong impact on the three-dimensional structure a protein will adopt. Because structure, not amino acid sequence order, carry out certain functions it is important to understand how these forces affect the protein folding process. In recent years, a lot of focus has been dedicated towards ab initio protein folding prediction, which tries to predict a proteins native conformation from its sequence alone. To aid this type of prediction sub-conformations from already known proteins are used to limit the free energy conformational search space. In this paper we looked into the sub-conformations’ hydrophobic-hydrophilic nature by incorporating a HP approach and proposed a way of evaluating how these type of forces affect the protein folding process. By doing this, we can gain insight into how hydrophobic-hydrophilic interactions affect protein structural similarity, and thus aid us in picking more suitable sub-conformations based off their HP shape for use in protein structure prediction. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.