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New Advances and Results on Mathematical Genomics
Pabitra Pal Choudhury, Indian Statistical Institute
Friday, June 28, 2013
2-3 p.m.
Brickyard (BYENG) 210 [map]
Abstract:
In our Home of Mathematical Genomics (www.isical.ac.in/~hmg/) we started working with Human Olfactory Receptors (OR). In my presentation talk I will start with our OR model. Then, described below are proposed methods for the classification of a group of related proteins into subgroups based on their structures. This finer classification will help to develop hypothesis concerning the functions of the proteins. Similarly, analysis of their gene sequences would help to track the path of their evolution.
CLASSIFICATION OF PROTEINS
Methodology 1: Classification of n-variable Boolean Function and their Application
A. Classification of Boolean functions
B. Application of Boolean functions of each class to bring out similarities and dissimilarities between the proteins under study
Methodology 2: Generating Indicator Matrix and Its Quantification of Amino Acid Sequence
Methodology 3: Finding Similarities and Dissimilarities between Three Dimensional Structures of Two Proteins Using Mathematical Morphology
BIO:
Pabitra Pal Choudhury is a Professor of Computer Science with special research emphasis on Reliable computer network design, Theory and Applications of 2-dimensional cellular automata, Statistical analysis of algorithm’s complexity, Fractal Technology, Genomics with the Applied Statistics Unit Indian Statistical Institute, Kolkata, India.
