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10 merged results for "QSAR Modeling"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

Source status
  1. Repurposing antifolates as G9a methyltransferase inhibitors for potential Alzheimer's disease therapeutics via 3D QSAR/pharmacophore mapping and experimental validations.

    Jana A, Bellver-Sanchis A, Barman K, Griñán-Ferré C · 2026 · Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s00044-026-03621-7

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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. xLSTM-based deep learning model for predicting anticancer Activity of pyrano[3,2-a]phenazine hybrid derivatives: Proof of concept.

    Aly Saad Aly M, Maiyza AI, Abuelmakarem HS, Mohamed S · 2026 · Computational biology and chemistry

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.compbiolchem.2026.109431

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. Development of machine learning-based multi-task quantitative structure-activity relationship models for predicting toxicities in six human organ systems.

    Wu PY, Chou WC, Kamineni VN, Chen CY · 2026 · Computational toxicology (Amsterdam, Netherlands)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.comtox.2025.100399

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Integrated risk prioritization of rubber additives based on hazard ranking and exposure characterization.

    Wang S, Dai W, Wang B, Heng L · 2026 · Eco-Environment & Health

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.eehl.2026.100282

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. Acute toxicities to typical aquatic organisms of synthetic phenolic antioxidants and QSAR study: The vital role of water solubility.

    Pan X, Gao Y, Tao L, Li C · 2026 · Environmental pollution (Barking, Essex : 1987)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.envpol.2026.129183

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    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Integrating Multi-Omics and Machine Learning to Predict Microplastic Cytotoxicity Under Leave-One-Polymer-Out Validation.

    Fu Y, Liu C, Chen S, Zhang K · 2026 · Environmental pollution (Barking, Essex : 1987)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.envpol.2026.129208

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    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids.

    Alexandrino DS, Rodrigues FAA, Santos SMG, Rocha Neto JFS · 2026 · Journal of molecular graphics & modelling

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.jmgm.2026.109581

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. AI-Driven Nano-QSAR Framework for Predicting Carbon Nanotube Cytotoxicity: Overcoming High Dimensionality and Data Imbalance.

    Song Z, Zhang F, Zhou Y, Shao L · 2026 · International journal of nanomedicine

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.2147/ijn.s609758

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. Machine learning prediction of bile salt export pump inhibition with Boruta feature selection in imbalanced data.

    Liu B, Liu Y, Yang H, Li Y · 2026 · Frontiers in pharmacology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3389/fphar.2026.1911283

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. Progress on quinoline‑based antitumour agents: Mechanistic insights and optimization strategies (Review).

    Zeng Y, Yan Y, Wu S, Wu W · 2026 · Molecular medicine reports

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.3892/mmr.2026.14031

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer