A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species
المؤلفون المشاركون
Leite, João Paulo Viana
Pagliara Lage, Daniela
Coelho, Eduardo Antonio Ferraz
Machado de Avila, Ricardo Andrez
Chávez-Fumagalli, Miguel Angel
Schneider, Mônica Santos
Tavares, Grasiele de Sousa Vieira
Mendonça, Débora Vasconcelos Costa
Santos, Thaís Teodoro de Oliveira
Pádua, Rodrigo Maia de
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-28
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Background.
The development of new therapeutic strategies to treat patients for leishmaniasis has become a priority.
The antileishmanial activity of the strychnobiflavone flavonoid was recently demonstrated against Leishmania amazonensis and Leishmania infantum amastigotes and promastigotes.
The biological effect of this molecule was identified due to its capacity to interfere in the parasite mitochondrial membrane; however, the underlying molecular mechanism remains unclear.
Methods and Results.
In this study, a computational approach using bioinformatics was performed to screen biological targets of strychnobiflavone in L.
infantum.
Computational programs, such as the target fishing approach and molecular docking assays, were used.
Results showed that the putative pathway targeted by strychnobiflavone in L.
infantum is the methylglyoxal degradation superpathway, and one hydrolase-like protein was predicted to be the molecular target of this flavonoid in the parasites.
Conclusion.
In this context, this study provides the basis for understanding the mechanism of action of strychnobiflavone in L.
infantum and presents a strategy based on bioinformatics programs to screen targets of other molecules with biological action against distinct pathogens.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chávez-Fumagalli, Miguel Angel& Schneider, Mônica Santos& Pagliara Lage, Daniela& Tavares, Grasiele de Sousa Vieira& Mendonça, Débora Vasconcelos Costa& Santos, Thaís Teodoro de Oliveira…[et al.]. 2018. A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species. Evidence-Based Complementary and Alternative Medicine،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1156041
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chávez-Fumagalli, Miguel Angel…[et al.]. A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species. Evidence-Based Complementary and Alternative Medicine No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1156041
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chávez-Fumagalli, Miguel Angel& Schneider, Mônica Santos& Pagliara Lage, Daniela& Tavares, Grasiele de Sousa Vieira& Mendonça, Débora Vasconcelos Costa& Santos, Thaís Teodoro de Oliveira…[et al.]. A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species. Evidence-Based Complementary and Alternative Medicine. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1156041
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1156041
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