Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors

Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors

Abstract Background In most parts of the world, especially in underdeveloped countries, acquired immunodeficiency syndrome (AIDS) still remains a major cause of death, disability, and unfavorable economic outcomes. This has necessitated intensive research to develop effective therapeutic agents for...

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Bibliographic Details
Main Authors: Emmanuel Onah, Philip F. Uzor, Ikenna Calvin Ugwoke, Jude Uche Eze, Sunday Tochukwu Ugwuanyi, Ifeanyi Richard Chukwudi, Akachukwu Ibezim
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Bioinformatics
Subjects:
HIV-1 protease
Stratified 10-fold CV
Machine learning
Cleavage site
Octapeptide sequence
Amino acid binary profile
Online Access:https://doi.org/10.1186/s12859-022-05017-x

Internet

https://doi.org/10.1186/s12859-022-05017-x

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