Structure-activity studies on anticancer agents: an MLR approach / Norfadzliah Yusof

Yusof, Norfadzliah (2008) Structure-activity studies on anticancer agents: an MLR approach / Norfadzliah Yusof. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Cancer is a disease characterized by abnormal cells growth. Cancer can be treated by chemotherapy which consists of anticancer agents. Quantitative Structure Activity Relationship, QSAR studies provide promising solutions to reduce the cost and time taken for the production of anticancer agents. Here, data from several papers have been re-analyzed using different descriptors. Multiple linear regression (MLR) analysis has been used to determine whether the difference in the choice of descriptors will affect the R2 value and hence providing a better QSAR model. The evaluation done in this study shows that the R2 obtained is comparable with the original data. Eleven QSAR models have been developed. Five QSAR models have been accepted as good prediction models as the R2cv value is more than 0.5. The best QSAR prediction model obtained has the value of R2 equal to 1 and R2cv value is 0.93 which consists of eight significant descriptors.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Yusof, Norfadzliah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Syed Omar, Sharifah Rohaiza
UNSPECIFIED
Advisor
Jaafar, Mohd Zuli
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Programme: Bachelor of Science (Hons) Chemistry
Date: 2008
URI: https://ir.uitm.edu.my/id/eprint/101263
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