H-FLYDRLAST-0H
Ref. 3D-PP43820
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Product Information
- NH2-Phe-Leu-Tyr-Asp-Arg-Leu-Ala-Ser-Thr-0His
Peptide H-FLYDRLAST-0H is a Research Peptide with significant interest within the field academic and medical research. This peptide is available for purchase at Cymit Quimica in multiple sizes and with a specification of your choice. Recent citations using H-FLYDRLAST-0H include the following: Development of Ebola Vaccine Candidate by in Silico from Glikoprotein (GP) Gene of Ebola Zaire Virus Y Suryani , O Taupiqurrohman , S Aryanti - Journal of Physics , 2018 - iopscience.iop.orghttps://iopscience.iop.org/article/10.1088/1742-6596/1090/1/012081/meta B and T cell epitope-based peptides predicted from evolutionarily conserved and whole protein sequences of Ebola virus as vaccine targets T Yasmin , AHMN Nabi - Scandinavian journal of immunology, 2016 - Wiley Online Libraryhttps://onlinelibrary.wiley.com/doi/abs/10.1111/sji.12425 Analisis in silico gen glikoprotein (GP) virus zaire ebola dan sudan ebola untuk vaksin ebola S Aryanti - 2017 - digilib.uinsgd.ac.idhttps://digilib.uinsgd.ac.id/19525/ Prediction of epitope-based peptides for vaccine development from coat proteins GP2 and VP24 of Ebola virus using immunoinformatics PN Srivastava , R Jain , SD Dubey , S Bhatnagar - journal of peptide , 2016 - Springerhttps://link.springer.com/article/10.1007/s10989-015-9492-6 Prediction and conservancy analysis of promiscuous T-cell binding epitopes of Ebola virus L protein: an in silico approach G Ayub, Y Waheed , MH Najmi - Asian Pacific Journal of Tropical Disease, 2016 - Elsevierhttps://www.sciencedirect.com/science/article/pii/S2222180815610076 Multi epitope peptide vaccine prediction against Sudan Ebola virus using immuno-informatics approaches AH Abu-Haraz, KA Abd-elrahman, MS Ibrahim - Adv Tech Biol , 2017 - researchgate.nethttps://www.researchgate.net/profile/Mohamed-Hassan-36/publication/315063611_Multi_Epitope_Peptide_Vaccine_Prediction_against_Sudan_Ebola_Virus_Using_Immuno-Informatics_Approaches/links/58d3ca57aca2723c0a79c74e/Multi-Epitope-Peptide-Vaccine-Prediction-against-Sudan-Ebola-Virus-Using-Immuno-Informatics-Approaches.pdf
Chemical properties
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