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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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