دورية أكاديمية
Application of PolyPRep tools on HIV protease polyproteins using molecular docking.
| العنوان: | Application of PolyPRep tools on HIV protease polyproteins using molecular docking. |
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| المؤلفون: | Dias MFR; Instituto Nacional de Metrologia, Qualidade e Tecnologia - INMETRO, Laboratório de Macromoléculas, Diretoria de Metrologia Aplicada às Ciências da Vida - DIMAV, Duque de Caxias, RJ, Brasil.; Secretaria Estadual do Espírito Santo - SEDU/ES, Vitória, ES, Brasil., Oliveira FLL; Instituto Nacional de Metrologia, Qualidade e Tecnologia - INMETRO, Laboratório de Macromoléculas, Diretoria de Metrologia Aplicada às Ciências da Vida - DIMAV, Duque de Caxias, RJ, Brasil., Pontes VS; Instituto Nacional de Metrologia, Qualidade e Tecnologia - INMETRO, Laboratório de Macromoléculas, Diretoria de Metrologia Aplicada às Ciências da Vida - DIMAV, Duque de Caxias, RJ, Brasil., Silva ML; Instituto Nacional de Metrologia, Qualidade e Tecnologia - INMETRO, Laboratório de Macromoléculas, Diretoria de Metrologia Aplicada às Ciências da Vida - DIMAV, Duque de Caxias, RJ, Brasil.; Universidade Federal do Rio de Janeiro - UFRJ, Instituto de Biodiversidade e Sustentabilidade - NUPEM, Macaé, RJ, Brasil. |
| المصدر: | Brazilian journal of biology = Revista brasleira de biologia [Braz J Biol] 2021 Dec 20; Vol. 84, pp. e245592. Date of Electronic Publication: 2021 Dec 20 (Print Publication: 2021). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: International Institute of Ecology Country of Publication: Brazil NLM ID: 101129542 Publication Model: eCollection Cited Medium: Internet ISSN: 1678-4375 (Electronic) Linking ISSN: 15196984 NLM ISO Abbreviation: Braz J Biol Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: São Carlos, SP [Brazil] : International Institute of Ecology, [2000]- |
| مواضيع طبية MeSH: | HIV Protease* , Polyproteins*, Molecular Docking Simulation ; Software |
| مستخلص: | In recent years, the development of high-throughput technologies for obtaining sequence data leveraged the possibility of analysis of protein data in silico. However, when it comes to viral polyprotein interaction studies, there is a gap in the representation of those proteins, given their size and length. The prepare for studies using state-of-the-art techniques such as Machine Learning, a good representation of such proteins is a must. We present an alternative to this problem, implementing a fragmentation and modeling protocol to prepare those polyproteins in the form of peptide fragments. Such procedure is made by several scripts, implemented together on the workflow we call PolyPRep, a tool written in Python script and available in GitHub. This software is freely available only for noncommercial users. |
| المشرفين على المادة: | 0 (Polyproteins) EC 3.4.23.- (HIV Protease) |
| تواريخ الأحداث: | Date Created: 20211221 Date Completed: 20211223 Latest Revision: 20211223 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1590/1519-6984.245592 |
| PMID: | 34932622 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1678-4375 |
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| DOI: | 10.1590/1519-6984.245592 |