Systematic Studies of Small Cyclic Peptides Using Computational Methods
McHugh, Sean.
2017
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Abstract: This thesis demonstrates how molecular dynamics simulations can be used to efficiently sample the conformational ensembles of cyclic peptides and through the use of systematic studies, begin to elucidate their sequence-structure relationships. Cyclic peptides are a unique class of molecules, with many interesting properties. However, the robust application of cyclic peptides is currently... read morelimited by our inability to predict their 3D structures a priori and our poor understanding of their sequence-structure relationships. After an introduction in Chapter 1, Chapter 2 describes the development of an enhanced sampling method tailored to cyclic peptides. This methodology works by exploiting the essential coupled two dihedral angle changes that cyclic peptides undergo during conformational switches. Chapter 3 describes the use of our enhanced sampling method to perform systematic studies of cyclic pentapeptides. First, we elucidate the structural preferences of all 20 natural amino acids within a cyclic pentapeptide template. Then we determine cooperative effects of neighboring residues to determine key sequence-structure relationships, ultimately culminating in the design and experimental verification of a well-structured cyclic pentapeptide in aqueous solution. Chapter 4 describes the systematic study of simple cyclic hexapeptides, wherein several general rules and interesting observations are established. In this Chapter another wellstructured sequence in aqueous solution is identified and its conformation is verified experimentally. Chapter 5 describes ongoing work where systematic studies of cyclic octapeptides are performed. Within this work a potentially welliii structured sequence is identified and its robustness as a template for further design is explored. Lastly, in Chapter 6, I will provide a short introduction to a separate project on glycopeptides, and describe computational work towards the design of stable α-helical glycosylation sites using both bioinformatics and molecular dynamics simulations.
Thesis (Ph.D.)--Tufts University, 2017.
Submitted to the Dept. of Chemistry.
Advisor: Yu-Shan Lin.
Committee: Clay Bennett, Arthur Utz, and Bradley Pentelute.
Keywords: Chemistry, Physical chemistry, and Biophysics.read less - ID:
- 2b88qq48t
- Component ID:
- tufts:24340
- To Cite:
- DCA Citation Guide EndNote
