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مقالات فارسیISIکنفرانسهاژورنالها

Global Variability of V۳ Loop Tetrapeptide Motif: a Concern for HIV-۱ Neutralizing Antibodies-based Vaccine Design and Antiretroviral Therapy

محل انتشار: مجله میکروبیولوژی پزشکی و بیماریهای عفونی، دوره: 9، شماره: 3
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 28

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:
https://civilica.com/doc/1917601

شناسه ملی سند علمی:

JR_JMMI-9-3_001

تاریخ نمایه سازی: 29 بهمن 1402

چکیده مقاله:

Introduction: HIV-۱ gp۱۲۰ V۳ GPGR motif has an essential role in viral invasion, cell fusion, and pathogenesis but presents a significant variability that can implicate neutralizing antibodies and antiretroviral drug resistance. Methods: We performed a comprehensive analysis based on ۲۵۹,۲۸۸ HIV-۱ gp۱۲۰ amino acid sequences obtained from the Los Alamos National Laboratory (LANL) HIV Sequence Database to infer the global distribution of V۳ tetrapeptide motifs. We calculated the frequencies and presented the main variants according to continents and countries. Furthermore, the clinical importance of the most distributed V۳ motifs was detailed. Results: Our results showed GPGR and GPGQ as the most commonly found V۳ motifs among more than five hundred V۳ variant motifs. Motifs with clinical implications are widely distributed around the world. Within the most frequent V۳ tetrapeptide motifs set, some variants enable the escape from fusion inhibitor drugs and neutralizing antibodies. Conclusion: Considering that an effective vaccine candidate should elicit broadly neutralizing antibodies while fusion inhibitor drug interaction requires conserved amino acids, the diversity of V۳ motifs implicates a great challenge in developing an effective HIV-۱ vaccine.

کلیدواژه ها:

HIV-۱ ، gp۱۲۰ ، V۳ loop ، GPGR motif ، Vaccine

نویسندگان

Luciano Rodrigo Lopes

Bioinformatics and Bio-Data Science Division, Health Informatics Department, Universidade Federal de São Paulo–UNIFESP, São Paulo, SP, Brazil

Antonio Carlos da Silva junior

Bioinformatics and Bio-Data Science Division, Health Informatics Department, Universidade Federal de São Paulo–UNIFESP, São Paulo, SP, Brazil

Paulo Bandiera-Paiva

Bioinformatics and Bio-Data Science Division, Health Informatics Department, Universidade Federal de São Paulo–UNIFESP, São Paulo, SP, Brazil

Jorge Casseb

Institute of Tropical Medicine of Sao Paulo - University of Sao Paulo, Laboratory of Medical Investigation LIM-۵۶ / Faculty of Medicine –USP

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