Mathematical standardisation on random chain model : Gaussian to computational approach
JAYDIP DATTA, Chiranjib Bhattacharjee, Durgadas Mukherjee, Bibhas R. De, T. K. Bhattacharya · Zenodo (CERN European Organization for Nuclear Research) · 2009
Department of Chemistry and Chemical Technology, Vidyasagar University, Midnapur-721 102, West Bengal, India Department of Chemical Engineering, Jadavpur University, Kolkata-700 032, India E-mail : [email protected] ac. in Mahadevananda Mahavidyalaya, Monirampur, Barrackpore, North 24-Parganas, West Bengal, India Department of Chemical Technology, University of Calcutta, 92, Acharya Prafulla Chandra Road, Kolkata-700 009, India Manuscript received 1 October 2007, revised 10 June 2009, accepted 11 June 2009 Random Chain model is mathematically standardised using Taylor's expansion series, second order partial differential equation and Laplace transformation in details to establish the most important physical properties like probability distribution function and mean square separation of end to end of a biopolymer chain. A multivariable function correlating mean end to end separation, number of monomer unit and length of each monomer unit is established. Finally the output equations are standardised by an object oriented programming language like C++ for biopolymers like Catalase, Myosin and Bushy shunt virus.