Related ArticlesNMRDSP: An Accurate Prediction of Protein Shape Strings from NMR Chemical Shifts and Sequence Data.
PLoS One. 2013;8(12):e83532
Authors: Mao W, Cong P, Wang Z, Lu L, Zhu Z, Li T
Abstract
Shape string is structural sequence and is an extremely important structure representation of protein backbone conformations. Nuclear magnetic resonance chemical shifts give a strong correlation with the local protein structure, and are exploited to predict protein structures in conjunction with computational approaches. Here we demonstrate a novel approach, NMRDSP, which can accurately predict the protein shape string based on nuclear magnetic resonance chemical shifts and structural profiles obtained from sequence data. The NMRDSP uses six chemical shifts (HA, H, N, CA, CB and C) and eight elements of structure profiles as features, a non-redundant set (1,003 entries) as the training set, and a conditional random field as a classification algorithm. For an independent testing set (203 entries), we achieved an accuracy of 75.8% for S8 (the eight states accuracy) and 87.8% for S3 (the three states accuracy). This is higher than only using chemical shifts or sequence data, and confirms that the chemical shift and the structure profile are significant features for shape string prediction and their combination prominently improves the accuracy of the predictor. We have constructed the NMRDSP web server and believe it could be employed to provide a solid platform to predict other protein structures and functions. The NMRDSP web server is freely available at http://cal.tongji.edu.cn/NMRDSP/index.jsp.
CS23D - generating protein structure from NMR chemical shifts and sequence homology
CS23D website
CS23D is a web server for rapidly generating accurate 3D protein structures using only assigned NMR chemical shifts as input. CS23D uses a combination of maximal subfragment assembly, chemical shift threading, shift-based torsion angle prediction and chemical shift refinement to generate and refine the protein coordinates. CS23D accepts chemical shift files in either SHIFTY or BMRB formats and produces a set of PDB coordinates for the protein normally within 10-15 minutes (3 hours max). CS23D performance is dependent on the completeness of the chemical shift assignments and...
markber
NMR software
0
02-23-2012 09:40 PM
Structure-based prediction of methyl chemical shifts in proteins
Structure-based prediction of methyl chemical shifts in proteins
Abstract Protein methyl groups have recently been the subject of much attention in NMR spectroscopy because of the opportunities that they provide to obtain information about the structure and dynamics of proteins and protein complexes. With the advent of selective labeling schemes, methyl groups are particularly interesting in the context of chemical shift based protein structure determination, an approach that to date has exploited primarily the mapping between protein structures and backbone chemical shifts. In order to...
4D prediction of protein 1H chemical shifts
4D prediction of protein 1H chemical shifts
Abstract A 4D approach for protein 1H chemical shift prediction was explored. The 4th dimension is the molecular flexibility, mapped using molecular dynamics simulations. The chemical shifts were predicted with a principal component model based on atom coordinates from a database of 40 protein structures. When compared to the corresponding non-dynamic (3D) model, the 4th dimension improved prediction by 6â??7%. The prediction method achieved RMS errors of 0.29 and 0.50 ppm for Hα and HN shifts, respectively. However, for individual proteins...
nmrlearner
Journal club
0
01-09-2011 12:46 PM
Rapid, Accurate and Simple Model to Predict NMR Chemical Shifts for Biological Molecu
Rapid, Accurate and Simple Model to Predict NMR Chemical Shifts for Biological Molecules.
Rapid, Accurate and Simple Model to Predict NMR Chemical Shifts for Biological Molecules.
J Phys Chem B. 2010 Nov 18;
Authors: Atieh Z, Aubert-Fre?con M, Allouche AR
We present a new model to predict chemical shifts for biological molecules. It is simple, fast, and involves a limited number of parameters. It is particularly adapted to be used in molecular dynamics studies with a molecular mechanic potential. We test the model for polyamines, which are rather...
nmrlearner
Journal club
0
11-20-2010 06:01 PM
Protein secondary structure prediction using NMR chemical shift data.
Protein secondary structure prediction using NMR chemical shift data.
Related Articles Protein secondary structure prediction using NMR chemical shift data.
J Bioinform Comput Biol. 2010 Oct;8(5):867-84
Authors: Zhao Y, Alipanahi B, Li SC, Li M
Accurate determination of protein secondary structure from the chemical shift information is a key step for NMR tertiary structure determination. Relatively few work has been done on this subject. There needs to be a systematic investigation of algorithms that are (a) robust for large datasets; (b)...
nmrlearner
Journal club
0
10-29-2010 07:05 PM
Prediction of Xaa-Pro peptide bond conformation from sequence and chemical shifts
Abstract We present a program, named Promega, to predict the Xaa-Pro peptide bond conformation on the basis of backbone chemical shifts and the amino acid sequence. Using a chemical shift database of proteins of known structure together with the PDB-extracted amino acid preference of cis Xaa-Pro peptide bonds, a cis/trans probability score is calculated from the backbone and 13Cβ chemical shifts of the proline and its neighboring residues. For an arbitrary number of input chemical shifts, which may include Pro-13Cγ, Promega calculates the statistical probability that a Xaa-Pro peptide bond...
NMRDSP: An Accurate Prediction of Protein Shape Strings from NMR Chemical Shifts and Sequence Data.
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