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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
ABSTRACT
Lahiri T, Mishra H, Kumar U, Misra K, Derivation
of a protein-marker from heat-denatured protein-aggregate, Online J
Bioinformatics, 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