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Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors.
Onah, Emmanuel; Uzor, Philip F; Ugwoke, Ikenna Calvin; Eze, Jude Uche; Ugwuanyi, Sunday Tochukwu; Chukwudi, Ifeanyi Richard; Ibezim, Akachukwu.
Affiliation
  • Onah E; Department of Pharmaceutical and Medicinal Chemistry, University of Nigeria, Nsukka, Nigeria. emmanuel.onah.187260@unn.edu.ng.
  • Uzor PF; Department of Pharmaceutical and Medicinal Chemistry, University of Nigeria, Nsukka, Nigeria.
  • Ugwoke IC; Department of Pharmaceutical Microbiology and Biotechnology, University of Nigeria, Nsukka, Nigeria.
  • Eze JU; Department of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, Nigeria.
  • Ugwuanyi ST; Department of Pharmaceutical Technology and Industrial Pharmacy, University of Nigeria, Nsukka, Nigeria.
  • Chukwudi IR; Department of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, Nigeria.
  • Ibezim A; Department of Pharmaceutical and Medicinal Chemistry, University of Nigeria, Nsukka, Nigeria. akachukwu.ibezim@unn.edu.ng.
BMC Bioinformatics ; 23(1): 466, 2022 Nov 08.
Article in En | MEDLINE | ID: mdl-36344934

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Protease / HIV-1 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Protease / HIV-1 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: