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silico drug screening task  (TargetMol)


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    Structured Review

    TargetMol silico drug screening task
    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in <t>silico</t> <t>drug</t> <t>screening</t> pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.
    Silico Drug Screening Task, supplied by TargetMol, used in various techniques. Bioz Stars score: 95/100, based on 138 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/silico drug screening task/product/TargetMol
    Average 95 stars, based on 138 article reviews
    silico drug screening task - by Bioz Stars, 2026-05
    95/100 stars

    Images

    1) Product Images from "Unified modeling of cellular responses to diverse perturbation types"

    Article Title: Unified modeling of cellular responses to diverse perturbation types

    Journal: bioRxiv

    doi: 10.1101/2025.11.13.688367

    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in silico drug screening pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.
    Figure Legend Snippet: (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in silico drug screening pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.

    Techniques Used: Derivative Assay, Sequencing, In Silico, Drug discovery



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    silico drug screening task  (TargetMol)
    95
    TargetMol silico drug screening task
    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in <t>silico</t> <t>drug</t> <t>screening</t> pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.
    Silico Drug Screening Task, supplied by TargetMol, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/silico drug screening task/product/TargetMol
    Average 95 stars, based on 1 article reviews
    silico drug screening task - by Bioz Stars, 2026-05
    95/100 stars
    		  Buy from Supplier

    Image Search Results


    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in silico drug screening pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.

    Journal: bioRxiv

    Article Title: Unified modeling of cellular responses to diverse perturbation types

    doi: 10.1101/2025.11.13.688367

    Figure Lengend Snippet: (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in silico drug screening pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.

    Article Snippet: For the in silico drug screening task , we used an FDA-approved drug library from TargetMol , consisting of 935 clinically approved compounds, ensuring the relevance of predictions to translational applications.

    Techniques: Derivative Assay, Sequencing, In Silico, Drug discovery