دورية أكاديمية
Advances in Antimicrobial Peptides with an approach to molecular structure prediction
| العنوان: | Advances in Antimicrobial Peptides with an approach to molecular structure prediction |
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| المؤلفون: | Abel Gil-Ley, Melaine González-García, Ernesto Martell-Huguet, Julio Pérez-Erviti, Ludger H. Standker, Anselmo J. Otero-González |
| المصدر: | Revista Cubana de Ciencias Biológicas 8(2) |
| سنة النشر: | 2021 |
| المجموعة: | Zenodo |
| مصطلحات موضوعية: | antimicrobial activity, host defense peptides, protein structure pre-diction, Pom-1 |
| الوصف: | Antimicrobial peptides (AMP) are molecules involved in the innate immune system of almost all living organisms. They are potent agents with diverse structural and antimicrobial properties, which represent one of the most promising future drug candidate for combating infections and antimicrobial drug resistance. They have also a wide spectrum of activity against a large number of pathogenic microorganisms, multiple mechanisms of action and a low potential for resistance. Numerous AMPs have been isolated from natural sources and many others have been de novo desig-ned and synthetically produced. This review provide insight into antimicrobials pro-perties of AMPs, focusing in antibacterial molecules, that provides better understan-ding of versatile biological properties of such peptides. Also, provide a short insight into chemical modifications, characterization and the principal methods for protein structure prediction of AMPs. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| العلاقة: | https://zenodo.org/communities/rccbTest; https://zenodo.org/record/6835763Test; https://doi.org/10.5281/zenodo.6835763Test; oai:zenodo.org:6835763 |
| DOI: | 10.5281/zenodo.6835763 |
| الإتاحة: | https://doi.org/10.5281/zenodo.6835763Test https://doi.org/10.5281/zenodo.6835762Test https://zenodo.org/record/6835763Test |
| حقوق: | info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/4.0/legalcodeTest |
| رقم الانضمام: | edsbas.4555DD19 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5281/zenodo.6835763 |
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