Published January 28, 2015 | Version v1
Journal article

Aspects of structural landscape of human islet amyloid polypeptide

  • 1. School of Physics, Beijing Institute of Technology, Beijing 100081 (China)
  • 2. Institute of Biopharmaceutical Research, Yangtze River Pharmaceutical Group Beijing Haiyan Pharmaceutical Co., Ltd, Beijing 102206 (China)
  • 3. Department of Physics and Astronomy, Uppsala University, P.O. Box 803, S-75108 Uppsala (Sweden)
  • 4. Laboratoire de Mathematiques et Physique Theorique CNRS UMR 6083, Fédération Denis Poisson, Université de Tours, Parc de Grandmont, F37200 Tours (France)

Description

The human islet amyloid polypeptide (hIAPP) co-operates with insulin to maintain glycemic balance. It also constitutes the amyloid plaques that aggregate in the pancreas of type-II diabetic patients. We have performed extensive in silico investigations to analyse the structural landscape of monomeric hIAPP, which is presumed to be intrinsically disordered. For this, we construct from first principles a highly predictive energy function that describes a monomeric hIAPP observed in a nuclear magnetic resonance experiment, as a local energy minimum. We subject our theoretical model of hIAPP to repeated heating and cooling simulations, back and forth between a high temperature regime where the conformation resembles a random walker and a low temperature limit where no thermal motions prevail. We find that the final low temperature conformations display a high level of degeneracy, in a manner which is fully in line with the presumed intrinsically disordered character of hIAPP. In particular, we identify an isolated family of α-helical conformations that might cause the transition to amyloidosis, by nucleation

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Chemical Physics
Journal Volume
142
Journal Issue
4
Journal Page Range
p. 045102-045102.10
ISSN
0021-9606
CODEN
JCPSA6

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46121952
Subject category
S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Descriptors DEI
COMPUTERIZED SIMULATION; HEATING; INSULIN; MONOMERS; NUCLEAR MAGNETIC RESONANCE; NUCLEATION; POLYPEPTIDES; TEMPERATURE DEPENDENCE
Descriptors DEC
HORMONES; MAGNETIC RESONANCE; ORGANIC COMPOUNDS; PEPTIDE HORMONES; PEPTIDES; PROTEINS; RESONANCE; SIMULATION

Optional Information

Notes
(c) 2015 AIP Publishing LLC