View Single Post
  #1  
Unread 08-21-2010, 11:53 PM
nmrlearner's Avatar
nmrlearner nmrlearner is offline
Senior Member
 
Join Date: Jan 2005
Posts: 23,184
Points: 193,617, Level: 100
Points: 193,617, Level: 100 Points: 193,617, Level: 100 Points: 193,617, Level: 100
Level up: 0%, 0 Points needed
Level up: 0% Level up: 0% Level up: 0%
Activity: 50.7%
Activity: 50.7% Activity: 50.7% Activity: 50.7%
Last Achievements
Award-Showcase
NMR Credits: 0
NMR Points: 0
Downloads: 0
Uploads: 0
Default SESAME: a least-squares approach to the evaluation of protein structures computed fro

SESAME: a least-squares approach to the evaluation of protein structures computed from NMR data.

Related Articles SESAME: a least-squares approach to the evaluation of protein structures computed from NMR data.

J Biomol NMR. 1993 May;3(3):355-60

Authors: Yang JX, Havel TF

A method is proposed for defining a probability distribution on an ensemble of protein conformations from a 2D NOE spectrum, while at the same time back-calculating the experimental spectrum from the ensemble. This enables one to assess the relative quality and significance of the conformations, and to test the consistency of the ensemble as a whole with the experimental spectrum. The method eliminates the need to integrate the cross-peak intensities and is surprisingly insensitive to random noise in the spectrum. In this communication, these advantages are demonstrated by applying the method to simulated data, for which the correct result is already known.

PMID: 8358235 [PubMed - indexed for MEDLINE]



Source: PubMed
Reply With Quote


Did you find this post helpful? Yes | No