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

Inhaltsverzeichnis (Table of Contents)

• I Introduction
  • 1.1 Introduction
  • 1.2 The Research Area, Problem Domain and Literature Survey
  • 1.3 Relevance of research
  • 1.4 Details of Remaining Chapters
  • 1.5 References
• II Computational Techniques, Tools and Technologies to support Bioinformatics
  • 2.1 Introduction
  • 2.2 ACD/ChemSketch
    • 2.2.1 Introduction
    • 2.2.2 ACD/ChemSketch includes

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This doctoral thesis aims to investigate the knowledgebase of molecular systems and develop a model for predicting molecular structure. The research focuses on utilizing computational techniques, tools, and technologies within the field of bioinformatics to address this challenge.

• Analysis of existing knowledgebase in molecular systems
• Development of a model for predicting molecular structure
• Evaluation of the model's effectiveness and accuracy
• Application of computational techniques in bioinformatics
• Contribution to the advancement of molecular structure prediction

Zusammenfassung der Kapitel (Chapter Summaries)

The first chapter introduces the research topic, providing context and outlining the research area, problem domain, and literature survey. It highlights the relevance of the research and details the structure of the remaining chapters. Chapter two explores computational techniques, tools, and technologies that support bioinformatics, with a particular focus on ACD/ChemSketch, a software package used in molecular modeling.

Schlüsselwörter (Keywords)

This research delves into the key areas of molecular systems, molecular structure prediction, bioinformatics, computational techniques, and software tools like ACD/ChemSketch. The study explores the knowledgebase of molecular systems, the development of a predictive model, and the application of these tools in the field of bioinformatics.