Download Datasets and Analysis |
||||||||||||||||||||||||
This page allows user to download all the protein datasets which are used in the development of BetaTPred3. It also provides facility to download the propensity values of amino acids falling in betaturns in an excel sheet. Three main datasets are used. 1) Standard datasets (BT426) which are used to compare the performance of new method with the already existing methods of betaturn prediction. 2). Unique dataset (BT20142) consisting of unique protein chains and used to calculate the propensity values of the amin oacids falling in betaturns. 3) Non-redundant updated dataset (BT6376) which is used to develop the final model of BetaTPred3 prediction method. | ||||||||||||||||||||||||
| ||||||||||||||||||||||||
| ||||||||||||||||||||||||
| ||||||||||||||||||||||||
| ||||||||||||||||||||||||
BT426 Dataset | ||||||||||||||||||||||||
The dataset has 426 non-homologus protein chains, as described by Guruprasad and Rajkumar (2000). In this data set, no two protein chains have more than 25% sequence identity. The structure of these proteins is determined by X-ray crystallography at 2.0 resolution or better. Each chain contains minimum one beta turn. The PROMOTIF program has been used to assign beta turns in proteins. For detail information and download of these proteins, Click here. .
| ||||||||||||||||||||||||
BT6376 Dataset | ||||||||||||||||||||||||
| ||||||||||||||||||||||||
BT20142 Dataset | ||||||||||||||||||||||||
| ||||||||||||||||||||||||
Beta-turn Analysis using BT20142 | ||||||||||||||||||||||||
|