Journal: Drug Invention Today

Article Id: JPRS-BRPT-00003499
Title: In silico analysis and immunodiagnosis of different amino acids using homology modeling
Category: Biotechnology & Related Pharmaceutical Technology
Section: Research Article
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    Introduction: Amino acids are very small biomolecules with various properties. Predicting the physiochemical properties of protein and interpreting its function are of great importance in the field of medicine and life science. Materials and Methods: Python is a high-level language. Python is product-oriented programming language. ASAP calculates various physiochemical properties that are needed for in vitro experiments. ASAP uses normalization values that increase the sensitivity of the tool. Results and Discussion: Protein is the building blocks of the body. As pI was one of the major factor affecting the protein interactions, a clear view for a particular protein should be known. Aliphatic index is calculated by ASAP. Conclusion: It is an efficient tool for genomics and proteomics and has its applications in system biology.

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    Author(s) Name:

    T. Jayalakshmi*, K. N. Vardhan, R. Priya, K. Vijayalakshmi

    Affiliation(s) Name:

    Department of Bioinformatics, Bharath University, Chennai, Tamil Nadu, India

    *Corresponding author: T. Jayalakshmi, Department of Bioinformatics, Bharath University, Chennai, Tamil Nadu, India.

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    Author:

    T. Jayalakshmi*, K. N. Vardhan, R. Priya, K. Vijayalakshmi

    Title:In silico analysis and immunodiagnosis of different amino acids using homology modeling
    Journal:Drug Invention Today
    Vol(issue):11 (May)
    Year:2019
    Page No: (1225-1226)
  • Experimental Methods Keywords

    Methodology:Antigenicity, Normalization and protein modeling
    Research Materials:Amino acids

Keywords

Amino acids Antigenicity Normalization and protein modeling

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