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10 merged results for "Protein Folding"

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. Roles of protein disassembly-reassembly behavior in determining physicochemical characteristics during food processing.

    Yang Q, Huang S, Cheng Y, Zhou C · 2026 · Food chemistry

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.foodchem.2026.151891

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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. Multi-model Prediction and Comparative Study of Protein Folding Rates Based on LASSO Feature Selection.

    Chen G, Xiao L, Yu M, Bai G · 2026 · Mathematical biosciences

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.mbs.2026.109848

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  3. A Competing C-Terminal β-Turn Controls Frame-Dependent Stability of Collagen Triple Helices.

    Naha A, Ghosh A, Sarma BK · 2026 · Biomacromolecules

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1021/acs.biomac.6c01329

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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. From Folding Reagents to Catalysts: Spatially Organized Diselenide-Cyclodextrins Enable Catalytic Oxidative Protein Folding.

    Iwata Y, Iwamoto S, Takeda H, Arai K · 2026 · Biomacromolecules

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1021/acs.biomac.6c01556

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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. FlexENN: A Graph Neural Network for Binding Energy Prediction of Globular and Intrinsically Disordered Proteins.

    Irshad M, Ori-McKenney K, Dima RI · 2026 · Journal of chemical information and modeling

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1021/acs.jcim.6c01545

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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. Benchmarking Protein-Ligand Cofolding Models: Correct Ligand Placement Is Decoupled From Accurate Protein Conformation.

    Obendorf L, Doering NP, Knaus P, Wolber G · 2026 · Journal of chemical information and modeling

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1021/acs.jcim.6c02169

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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. Design Trade-Offs between Target Binding and Self-Association Revealed by De Novo SARS-CoV-2 Binders.

    Carcelén L, Peñas-Utrilla D, Ferrero DS, Ferrer-Orta C · 2026 · Journal of chemical information and modeling

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1021/acs.jcim.6c02394

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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. Structural basis of hypervariable region 1 dynamics on HCV envelope glycoproteins in immune evasion.

    Hung SH, Koide Y, Chen F, Lee YZ · 2026 · Proceedings of the National Academy of Sciences of the United States of America

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1073/pnas.2606727123

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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. Edge-Aware Graph Attention Networks for Interpreting Biophysical Mechanisms from Molecular Dynamics Simulations.

    Ahsan M, Pindi C, Rodriguez L, Shah P · 2026 · bioRxiv : the preprint server for biology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.64898/2026.09.03.749137

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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. What is pathogenicity? Structural vulnerabilities lead to distinct phenotypes in a membrane protein, ATP1A3.

    Sweadner KJ, Ozelius LJ, Domingo A, Mangkalaphiban K · 2026 · bioRxiv : the preprint server for biology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.64898/2026.10.13.758912

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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