The Measurement of Molecular Biological Activity based on Quantitative Structure Activity Relationships

Authors

  • Maged Nasser Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia
  • Hentabli Hamza Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia
  • Naomie Salim Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia
  • Faisal Saeed Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/ijic.v8n3.185

Keywords:

Computer aided molecular design, CAMD, Quantitative Structure Activity Relationship, QSAR, Drug design, Chemical dataset, molecular design

Abstract

The urge of producing new chemical compounds under eco-friendly production restriction and with minimum side effects is significantly rising, considering the difficulties that conventional methods are dealing with, from financial investments and being time consuming to multi resistance microorganisms and untreatable diseases. Rational molecular design methods like Computer Aided Molecular Design (CAMD) and Quantitative Structure Activity Relationship (QSAR) allow the production of new substances with pre-decided properties and correlate the structure to biological activity, which influences the drug development process and minimizes the financial investment involved in the process. QSAR employs several descriptors to decode the molecular configuration of a compound, which facilitate the understanding of its physical and biological properties. There are various conditions such as the selection of compounds and descriptors that must be accomplished for developing an applicable model of QSAR. The underlining principles and steps of QSAR are explained in this review paper.

Author Biography

Maged Nasser, Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia

Department of Computer Scince and Information System

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Published

2018-11-21

How to Cite

Nasser, M., Hamza, H., Salim, N., & Saeed, F. (2018). The Measurement of Molecular Biological Activity based on Quantitative Structure Activity Relationships. International Journal of Innovative Computing, 8(3). https://doi.org/10.11113/ijic.v8n3.185

Issue

Section

Computer Science