Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills
  1. Research Outputs

Homodimerization of neurotensin 1 receptor involves helices 1, 2, and 4: Insights from quaternary structure predictions and dimerization free energy estimations

Academic Article
Publication Date:
2008
Short description:
Homodimerization of neurotensin 1 receptor involves helices 1, 2, and 4: Insights from quaternary structure predictions and dimerization free energy estimations / C., Casciari; D., Dell'Orco; Fanelli, Francesca. - In: JOURNAL OF CHEMICAL INFORMATION AND MODELING. - ISSN 1549-9596. - ELETTRONICO. - 48:8(2008), pp. 1669-1678. [10.1021/ci800048d]
abstract:
A computational approach based upon rigid-body docking, ad hoc filtering, and cluster analysis has been combined with a protocol for dimerization free energy estimations to predict likely interfaces in the neurotensin 1 receptor (NTS1) homodimers. The results of this study suggest that the likely intermonomer interfaces compatible with in vitro binding affinity constants essentially involve helices 1, 2, and 4 and do not include disulfide bridges. The correlative model initially developed on Glycophorin A and herein extended to a G protein-Coupled Receptor (GPCR) appears to be a useful tool for estimating the association free energies of transmembrane proteins independent of the size and shape of the interface. In the desirable future cases, in which in vitro intermonomer binding affinities will be available for other GPCRs, such a correlative model will work as an additional criterion for helping in the selection of the most likely dimers.
Iris type:
Articolo su rivista
Keywords:
GPCR dimerization; computational modeling; molecular simulations; molecular recognition; protein-protein docking
List of contributors:
C., Casciari; D., Dell'Orco; Fanelli, Francesca
Authors of the University:
FANELLI Francesca
Handle:
https://iris.unimore.it/handle/11380/610791
Published in:
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.5.0