HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

Bioinformatics
Md Mehedi HasanBalachandran Manavalan

Abstract

Therapeutic peptides failing at clinical trials could be attributed to their toxicity profiles like hemolytic activity, which hamper further progress of peptides as drug candidates. The accurate prediction of hemolytic peptides (HLPs) and its activity from the given peptides is one of the challenging tasks in immunoinformatics, which is essential for drug development and basic research. Although, there are a few computational methods that have been proposed for this aspect, none of them are able to identify hemolytic peptides and their activities simultaneously. In this study, we proposed a two-layer prediction framework, called HLPpred-Fuse, that can accurately and automatically predict both hemolytic peptides (HLPs or non-HLPs) as well as HLPs activity (high and low). More specifically, feature representation learning scheme was utilized to generate 54 probabilistic features by integrating six different machine-learning classifiers and nine different sequence-based encodings. Consequently, the 54 probabilistic features were fused to provide sufficiently converged sequence information which was used as an input to extremely randomized tree for the development of two final prediction models which independently identify hemolyti...Continue Reading

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Citations

Jun 20, 2020·Journal of Computer-aided Molecular Design·Phasit CharoenkwanWatshara Shoombuatong
Aug 18, 2020·BioMed Research International·Feng-Min Li, Xiao-Wei Gao
Aug 15, 2020·Frontiers in Bioengineering and Biotechnology·Xianhai LiWei Chen
Sep 24, 2020·Journal of Computer-aided Molecular Design·Mst Shamima KhatunHiroyuki Kurata
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Jan 26, 2021·Frontiers in Cell and Developmental Biology·Ting LiuHua Tang
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Oct 9, 2021·Journal of Computer-aided Molecular Design·Aijaz Ahmad MalikWatshara Shoombuatong
Aug 7, 2021·Journal of Bioinformatics and Computational Biology·Adiba YaseenFayyaz Minhas

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