Výsledky vyhledávání - "Farshid Shirafkan"

Akademický článek

Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods

Autor: Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi, Javad Zahiri

Publikováno v: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)

Abstract Background Moonlighting proteins (MPs) are a subclass of multifunctional proteins in which more than one independent or usually distinct function occurs in a single polypeptide chain. Identification of unknown cellular processes, understandi

Externí odkaz: https://doaj.org/article/3e9094fd20484464a74b2695b2d5df97

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Akademický článek

Correction to: Moonlighting protein prediction using physico‑chemical and evolutional properties via machine learning methods

Autor: Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi, Javad Zahiri

Publikováno v: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-1 (2021)

Externí odkaz: https://doaj.org/article/b35dc77afb714165b251624c0e676937

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Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods

Autor: Reza H. Sajedi, Javad Zahiri, Farshid Shirafkan, Karim Rahimian, Sajjad Gharaghani

Publikováno v: BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)

Background Moonlighting proteins (MPs) are a subclass of multifunctional proteins in which more than one independent or usually distinct function occurs in a single polypeptide chain. Identification of unknown cellular processes, understanding novel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50220419c71dd905c7bbb1fbd030eee1
https://doi.org/10.1186/s12859-021-04194-5

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