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OJBTM
Online Journal of Bioinformatics

  

Volume 10 (1): 29-39, 2009.


Derivation of a protein-marker from heat-denatured protein-aggregate.

 

Lahiri T, Mishra H, Kumar U, Misra K.

 

 

Division of Bioinformatics and allied sciences, Indian Institute of Information Technology, Allahabad, India

 

 

ABSTRACT

 

Lahiri T, Mishra H, Kumar U, Misra K, Derivation of a protein-marker from heat-denatured protein-aggregate, Onl J Bioinform., 10 (1): 29-39, 2009. Aggregation of protein was studied with an objective of finding its specificity to constituent protein. The heat-denaturation based aggregation method that is universally applicable to any protein was used to study Heat Denatured Protein Aggregates (HDPA). Ordinary microscopic images of aggregates were acquired, processed and analyzed to extract the feature, Intensity Level-based Multifractal Dimension (ILMFD). It was found that ILMFD could differentiate and identify proteins selected for our study. For enhancing the degree of differentiation among the selected proteins, a simple neuro-GA (Artificial Neural Network followed by application of Genetic Algorithm) classifier was successfully tested. Finally the potential of ILMFD feature as a protein-marker was discussed.

 

Key Words: Heat denatured protein aggregate; Multifractal dimension; Neuro-GA classifier; Protein-marker


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