Study and Analysis of Knowledgebase of Molecular Systems and to Develop Model for Prediction of Molecular Structure

By Binod Kumar

Doctoral Thesis / Dissertation from the year 2010 in the subject Computer Science - Miscellaneous, Saurashtra University (Computer Science Dept.), course: PhD, language: English, abstract: This research work aims to analyze experimental data about biochemical properties and their corresponding kinetics. In this research the attempt has been made to analyze protein and DNA structure using tools such as DAMBE and Jemboss. Some Molecular Visualization or Analysis tools are already developed that reads, analyses, and crosscorrelates experimental information which is useful for chemist, Organist Chemist, Biochemist and Druggist. In this research using ACD/ChemSketch compounds are stored in databases and SMILE code (Simplified Molecular Input Line Specification) is generated. A SMILE defines the molecules in the form of alphanumeric chains. In this research work chemical shift of every carbon atom of the molecule have been displayed by using NMR Prediction. Under this research CML codes of molecules have been developed and that codes have been used for molecular information like symmetry, and atom and bond attributes. Here multiple observations of the same molecule like conformational analysis and NMR prediction have been performed. Using Pubchem/NCBI additional miscellaneous information such as bioactivity analysis by structure & activity similarity and revised compound selection after addition of similar compounds have been analyzed. Under the research work geometric optimization of molecules, chemical structure visualization and calculation of electronic absorption spectra of chemical structure have been performed using ArgusLab tool. In this research Single Entry Point Calculation, Molecular Orbital calculation on grids for plotting HOMO and LUMO and ESP Mapped Density calculations have been also performed. Under the research work of different types of analysis like prediction of protein secondary structure, isoelectric point calculation etc. have been performed on nu

• Format: Paperback
• Language: English
• ISBN: 3346082652
• ISBN13: 9783346082657
• Release Date: November 2019
• Publisher: Grin Verlag
• Length: 234 Pages
• Weight: 1.26 lbs.
• Dimensions: 0.5" x 8.3" x 11.7"