ArticleMolecular biology research communications2023
Using several pseudo amino acid composition types and different machine learning algorithms to classify and predict archaeal phospholipases.
Article in Molecular biology research communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Advanced drug-target interaction prediction using convolutional graph attention networks in expert systems.Molecular diversity · 2026Article
- In-silico comparison of fungal and bacterial asparaginase enzymes.Molecular biology research communications · 2024Article
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Authors and funding
3 authors.
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Abstract
Phospholipases, as important lipolytic enzymes, have diverse industrial applications. Regarding the stability of extremophilic archaea's proteins in harsh conditions, analyses of unusual features of their proteins are significantly important for their utilization. This research was accomplished to
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