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Self Organisation In (Bio) Molecular Systems: Simulating The Folding And Aggregation Of Peptides, Proteins And Lipids (2005-2010)

Abstract

Molecular self-assembly is a basic property of living systems. Most proteins fold spontaneously and then further self-organize into functional complexes, effectively biological machines. Understanding how this occurs is a fundamental theoretical challenge with widespread application. Work will focus on developing methodology to simulate, computationally, the folding and aggregation of peptides, proteins, and lipids. The aim is to accurately predict the structures of small peptides in solution and to refine crude models of larger molecules (complexes). This will facilitate the development of peptide based therapeutics and is essential in exploiting the growing volume of genetic information in biology and medicine.

Experts

Professor Alan Mark

Affiliate of Centre for Organic Photonics and Electronics
Centre for Organic Photonics and Electronics
Faculty of Science
Affiliate of ARC COE in Quantum Biotechnology (QUBIC)
ARC COE in Quantum Biotechnology
Faculty of Science
Affiliate of ARC COE for Innovations in Peptide and Protein Science
ARC COE for Innovations in Peptide and Protein Science
Institute for Molecular Bioscience
Professor
School of Chemistry and Molecular Biosciences
Faculty of Science
Alan Mark
Alan Mark