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We investigated the effects of combining different classifiers to better annotate protein sequences with functional terms defined in the molecular function aspect of GO.
From the molecular function aspect, this review focuses on the impact of KLF14-mediated regulation in major atherosclerosis-related diseases and pathological processes, such as insulin resistance, type 2 diabetes, dyslipidemia, inflammation, obesity, metabolic syndrome, cell proliferation and differentiation.
In this study, we focused on molecular function aspect.
There are also part_of and controlled_by relations in GO but for the molecular function aspect, they were negligible.
First, we formulated the function annotation problem as a classification problem defined on 300 different Gene Ontology (GO) terms from molecular function aspect.
We keep to the molecular function aspect mainly because genes annotated by a MF term are more likely to share a common sequence, subsequence or physicochemical features related to that specific function.
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It can be found that the proportions of such clusters given by PPSampler2 are 82%, 51%, and 55% on the biological process, cellular component, and molecular function aspects of GO, respectively.
In cases where both a literature-based and computationally predicted annotation existed for the given gene and GO aspect (Molecular Function, Biological Process, Cellular Component), the filtered granular manual annotations were compared against all of the computational predictions for that gene to create annotation pairs.
The functional classification of S. japonicum proteins was performed using terms from the Molecular Function and Biological Process aspects of the Gene ontology (GO) system [ 21].
One of the most well-known and widely used attempts to standardize protein function terms and to define their relations is Gene Ontology, providing ontology in three aspects: molecular function, biological process and cellular location.
We used all three ontology aspects (molecular function, biological process, and cellular component) and 0.05 as the FDR cutoff.
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molecular function component
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