Title

Authors

Affiliation

¹Divison of Applied Sciences and Indi-Russian Center for Biotechnology, Indian Institute of Information Technology, Allahabad, India; ²Department of Biochemistry, University of Calcutta, Calcutta, India; ³Gautam Buddh Technical University (Formerly U.P. Technical University), Institute of Engineering & Technology Campus, Sitapur Road, Lucknow-226021;⁴ Shovit University, Meerut, UP, India

Email

tlahiri@iiita.ac.in; *Corresponding author

Article Type

Hypothesis

Date

Received May 16, 2011; Accepted November 8, 2011; Published December 10, 2011

Study on geometric properties of nanoparticles and their relation with biomolecular activities, especially protein is quite a new field to explore. This work was carried out towards this direction where images of gold nanoparticles obtained from transmission electron microscopy were processed to extract their size and area profile at different experimental conditions including and excluding a protein, citrate synthase. Since the images were ill-posed, texture of a context-window for each pixel was used as input to a back-propagation network architecture to obtain decision on its membership as nanoparticle. The segmented images were further analysed by k-means clustering to derive geometric properties of individual nanoparticles even from their assembled form. The extracted geometric information was found to be crucial to give a model featuring porous cage like configuration of nanoparticle assembly using which the chaperone like activity of gold nanoparticles can be explained.

Citation

Kaushik et al. Bioinformation 7(7): 320-323 (2011)
 

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.