MAIN


©1996-2019. All Rights Reserved. Online Journal of Bioinformatics. You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. Linking: To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


OJBtm
Online Journal of Bioinformatics
©
Established 1995

ISSN  1443-2250


Volume 19(3):258-270, 2018.


Extraction of protein surface information from its aggregate.

 

Hrishikesh Mishra, Tapobrata Lahiri.

 

Division of Applied Sciences and Indo-Russian Center for Biotechnology, Indian Institute of Information Technology, Allahabad, India.

 

ABSTRACT

 

Mishra H, Lahiri T., Extraction of protein surface information from its aggregate, Onl J Bioinform., 19(3):258-270, 2018. Recent studies show that protein surface roughness profile could be used to identify small molecule attachment sites. Moreover, rough protein assembly carries a unique signature of its seed protein. Using these 2 charafcteristics we mapped a protocol for roughness profile of a protein from intensity level based multi fractal dimension (ILMFD) of its heat-denatured aggregates. The steps used were extraction of feature, ILMFD from microscopic images of heat denatured protein aggregate (HDPA), followed by mapping of ILMFD into Surface Roughness Index (SRI) through suitably chosen artificial neural network architecture. Our approach may determine a proteinís surface property without depending on its structure.

 

Key Words: Protein surface roughness, Intensity level based multifractal dimension, Heat denatured protein aggregate, Artificial Neural Network


MAIN

 

FULL-TEXT (SUBSCRIBE OR PURCHASE TITLE)