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Open AccessArticle
6 Pages, 1,023 KB Download PDF

Homology Modeling of CYP6Z3 Protein of Anopheles Mosquito

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 2, Page # 580–585, 2021; DOI: 10.25046/aj060266
Abstract:

The Anopheles gambiae’s CYP6Z3 protein belongs to the Cytochrome P450 family and functions in oxidation-reduction processes, many studies including our previous work on elucidating insecticide resistance genes of the Anopheles also implicated her in pyrethroid insecticide resistance. Model prediction, functional analysis, and enrichment of the target gene with triplex binding sites may become a useful…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Mathematical & Computational Biology (MCB))
Open AccessArticle
9 Pages, 769 KB Download PDF

Developing Students’ Motivation for Learning through Practical Problems in School

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 5, Page # 258–266, 2018; DOI: 10.25046/aj030531
Abstract:

This paper is an extension of work originally presented in the 19th International Conference on Computer Supported Education and Information Technology. This paper identifies motivational factors that ensure the initiation and effective implementation of mathematical activity. These factors are in subordination to each other, forming a hierarchical dependence. At the heart of this hierarchy is…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Mathematical & Computational Biology (MCB))
Open AccessArticle
14 Pages, 3,729 KB Download PDF

NemoMap: Improved Motif-centric Network Motif Discovery Algorithm

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 5, Page # 186–199, 2018; DOI: 10.25046/aj030523
Abstract:

Network motif analysis has several applications in many different fields such as biological study and social network modeling, yet motif detection tools are still limited by the intensive computation. Currently, there are two categories for network motif detection method: network-centric and motif-centric approach. While most network-centric algorithms excel in enumerating all potential motifs of a…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Mathematical & Computational Biology (MCB))

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