Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm
المؤلفون المشاركون
Oyelade, Jelili
Isewon, Itunuoluwa
Uwoghiren, Efosa
Aromolaran, Olufemi
Dokunmu, Titilope
Rotimi, Solomon
Aworunse, Oluwadurotimi
Obembe, Olawole
Adebiyi, Ezekiel
المصدر
International Journal of Genomics
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-10-01
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Plasmodium falciparum, a malaria pathogen, has shown substantial resistance to treatment coupled with poor response to some vaccines thereby requiring urgent, holistic, and broad approach to prevent this endemic disease.
Understanding the biology of the malaria parasite has been identified as a vital approach to overcome the threat of malaria.
This study is aimed at identifying essential proteins unique to malaria parasites using a reconstructed iPfa genome-scale metabolic model (GEM) of the 3D7 strain of Plasmodium falciparum by filling gaps in the model with nineteen (19) metabolites and twenty-three (23) reactions obtained from the MetaCyc database.
Twenty (20) currency metabolites were removed from the network because they have been identified to produce shortcuts that are biologically infeasible.
The resulting modified iPfa GEM was a model using the k-shortest path algorithm to identify possible alternative metabolic pathways in glycolysis and pentose phosphate pathways of Plasmodium falciparum.
Heuristic function was introduced for the optimal performance of the algorithm.
To validate the prediction, the essentiality of the reactions in the reconstructed network was evaluated using betweenness centrality measure, which was applied to every reaction within the pathways considered in this study.
Thirty-two (32) essential reactions were predicted among which our method validated fourteen (14) enzymes already predicted in the literature.
The enzymatic proteins that catalyze these essential reactions were checked for homology with the host genome, and two (2) showed insignificant similarity, making them possible drug targets.
In conclusion, the application of the intelligent search technique to the metabolic network of P.
falciparum predicts potential biologically relevant alternative pathways using graph theory-based approach.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Oyelade, Jelili& Isewon, Itunuoluwa& Aromolaran, Olufemi& Uwoghiren, Efosa& Dokunmu, Titilope& Rotimi, Solomon…[et al.]. 2019. Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm. International Journal of Genomics،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1165503
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Oyelade, Jelili…[et al.]. Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm. International Journal of Genomics No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1165503
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Oyelade, Jelili& Isewon, Itunuoluwa& Aromolaran, Olufemi& Uwoghiren, Efosa& Dokunmu, Titilope& Rotimi, Solomon…[et al.]. Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm. International Journal of Genomics. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1165503
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1165503
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر