Melting Temperature Analysis as Quantitative Method for Detection of Point Mutations

2001 ◽  
Vol 39 (6) ◽  
Author(s):  
Brunetta Porcelli ◽  
Barbara Frosi ◽  
Lucia Terzuoli ◽  
Laura Arezzini ◽  
Roberto Pagani ◽  
...  
Keyword(s):  
Melting Temperature ◽  
Quantitative Method ◽  
Point Mutations ◽  
Temperature Analysis

Haplotyping of TNFalpha gene promoter using melting temperature analysis: detection of a novel -856(G/A) mutation

2005 ◽  
Vol 66 (4) ◽  
pp. 284-290 ◽  
Author(s):  
Y. Song ◽  
J. Araki ◽  
L. Zhang ◽  
T. Froehlich ◽  
M. Sawabe ◽  
...  
Keyword(s):  
Melting Temperature ◽  
Gene Promoter ◽  
Temperature Analysis

scholarly journals Predicting protein thermal stability changes upon point mutations using statistical potentials: Introducing HoTMuSiC

2016 ◽  
Author(s):  
Fabrizio Pucci ◽  
Raphaël Bourgeas ◽  
Marianne Rooman
Keyword(s):  
Thermal Stability ◽  
Melting Temperature ◽  
Point Mutations ◽  
Model Structure ◽  
Temperature Dependent ◽  
Statistical Potentials ◽  
Validation Procedure ◽  
The Impact ◽  
Fold Cross Validation ◽  
Thermal Stability Of

The accurate prediction of the impact of an amino acid substitution on the thermal stability of a protein is a central issue in protein science, and is of key relevance for the rational optimization of various bioprocesses that use enzymes in unusual conditions. Here we present one of the first computational tools to predict the change in melting temperature ΔTmupon point mutations, given the protein structure and, when available, the melting temperature Tmof the wild-type protein. The key ingredients of our model structure are standard and temperature-dependent statistical potentials, which are combined with the help of an artificial neural network. The model structure was chosen on the basis of a detailed thermodynamic analysis of the system. The parameters of the model were identified on a set of more than 1,600 mutations with experimentally measured ΔTm. The performance of our method was tested using a strict 5-fold cross-validation procedure, and was found to be significantly superior to that of competing methods. We obtained a root mean square deviation between predicted and experimental ΔTmvalues of 4.2°C that reduces to 2.9°C when ten percent outliers are removed. A webserver-based tool is freely available for non-commercial use at soft.dezyme.com.

Melting temperature of molecular beacons as an indicator of the ligase detection reaction for multiplex detection of point mutations

2015 ◽  
Vol 7 (10) ◽  
pp. 4225-4230 ◽  
Author(s):  
Weihao Luo ◽  
Dianming Zhou ◽  
Dixian Luo ◽  
Jianhui Jiang ◽  
Xiangmin Xu
Keyword(s):  
Melting Temperature ◽  
Point Mutations ◽  
Gene Mutations ◽  
Molecular Beacons ◽  
Multiplex Detection ◽  
Ligase Detection Reaction ◽  
Novel Strategy

A novel strategy based on the ligase detection reaction (LDR) using the melting temperature of molecular beacons as the indicator is presented for the multiplex detection of gene mutations.

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