The stability of proteins at higher temperatures is crucial for its functionality that is measured by their melting temperature (Tm). The prediction server for Tm prediction has been designed in a very user-friendly manner. Here, on this page, user can get the details of all the algorithms and procedures exploited in the different modules. |
This algorithm of the server is relies on the following two models:
Prediction modelThe "Predict" module provides the facility to the user to predict the Tm of protein sequences. User can provide multiple sequences as input to the server to predict the Tm of given protein. In this study we used various machine learning techniques to develop prediction modules.Design modelIn this study, "Design" module is used to create all possible analogs/mutants of the input sequence and identify the best analog which is thermostable. Usign various machine learning techniques it can predict mutants Tm. |