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principal component analysis (pca) knime node  (KNIME GmbH)

 
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    Structured Review

    KNIME GmbH principal component analysis (pca) knime node
    <t>Molecular</t> <t>properties</t> analysis and virtual screening. The chemical space of the generated dataset is represented visually by <t>3D-PCA</t> (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .
    Principal Component Analysis (Pca) Knime Node, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/principal+component+analysis+(pca)+knime+node/principal+component+analysis++pca++knime+node/pmc11169604-81-21-43
    Average 90 stars, based on 1 article reviews
    principal component analysis (pca) knime node - by Bioz Stars, 2026-08
    90/100 stars

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    1) Product Images from "Targeting Leishmania infantum Mannosyl-oligosaccharide glucosidase with natural products: potential pH-dependent inhibition explored through computer-aided drug design"

    Article Title: Targeting Leishmania infantum Mannosyl-oligosaccharide glucosidase with natural products: potential pH-dependent inhibition explored through computer-aided drug design

    Journal: Frontiers in Pharmacology

    doi: 10.3389/fphar.2024.1403203

    Molecular properties analysis and virtual screening. The chemical space of the generated dataset is represented visually by 3D-PCA (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .
    Figure Legend Snippet: Molecular properties analysis and virtual screening. The chemical space of the generated dataset is represented visually by 3D-PCA (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .

    Techniques Used: Generated, Binding Assay



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    KNIME GmbH principal component analysis (pca) knime node
    <t>Molecular</t> <t>properties</t> analysis and virtual screening. The chemical space of the generated dataset is represented visually by <t>3D-PCA</t> (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .
    Principal Component Analysis (Pca) Knime Node, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/principal+component+analysis+(pca)+knime+node/principal+component+analysis++pca++knime+node/pmc11169604-81-21-43
    Average 90 stars, based on 1 article reviews
    principal component analysis (pca) knime node - by Bioz Stars, 2026-08
    90/100 stars
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    Molecular properties analysis and virtual screening. The chemical space of the generated dataset is represented visually by 3D-PCA (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .

    Journal: Frontiers in Pharmacology

    Article Title: Targeting Leishmania infantum Mannosyl-oligosaccharide glucosidase with natural products: potential pH-dependent inhibition explored through computer-aided drug design

    doi: 10.3389/fphar.2024.1403203

    Figure Lengend Snippet: Molecular properties analysis and virtual screening. The chemical space of the generated dataset is represented visually by 3D-PCA (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .

    Article Snippet: To generate a visual representation of the chemical space of the dataset for the auto-scaled properties of pharmaceutical interest, the principal component analysis (PCA), which reduces data dimensions by geometrically projecting them onto lower dimensions called principal components (PCs), calculated by the “PCA” KNIME node.

    Techniques: Generated, Binding Assay