Grant of 100% Clean Award to Protein Stability Program

Thanks to the Softpedia Database and its Editorial Team for considering the Protein Stability Program to be available as a freeware, added to the database and granted "100% Clean Award"

Grant ward can be viewed here:
http://www.softpedia.com/progClean/Protein-Stability-Clean-210115.html 

Full text article is available here:
http://iioablett.pitt.edu/ojs/index.php/iioablett/article/view/12 

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Energy minimization of PfCRT (Plasmodium falsciparum chloroquine resistant transporter)

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CpGP Dynamics – The Dynamics of CpG Island and Promoter to Validate Nucleosomal Gene Expression

S. Prasanth Kumar
Department of Bioinformatics, Alagappa University, Karaikudi- 630003, India.
prasanthbioinformatics@gmail.com

Abstract

Computational prediction of nucleosome positioning relies upon in vitro and in vivo experimental outcome such as sequence positioning and exclusion signatures, structural thermodynamic details, histone-DNA interaction models, etc. On the other hand, CpG island and promoter prediction programs are available which depends upon the algorithm built by the predictive power of trained experimental datasets from sequencing projects. “CpGP dynamics –The dynamics of CpG island and promoter to validate nucleosomal gene expression” is a web based program which predicts the nucleosome- positioning (NP) and exclusion (NE) signatures in the user provided nucleotide sequence and presents a graphical output. It also utilizes the sequence positions of CpG island and promoter predicted by third-party programs as input to generate graphical sequence output. These two graphical outputs can be merged to discriminate the more accurate sequence positions of CpG island and promoter from a number of likelihood predictions. The program is freely accessible at http://www.cpgpdynamics.webs.com. 

Keywords: Nucleosome Positioning and Exclusion, CpG island, Promoter, Bioinformatics.

Full text will be available at:

http://www.sersc.org/journals/IJBSBT/vol4_no2/2.pdf

(Copyright has been retained by SERSC)

Emergence of TYLCV: Bioinformatic Analysis

Soon, we will publish Bioinformatic Analysis of coat protein from TYLCV.

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