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10 merged results for "Secondary Structure Prediction"

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

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  1. Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method

    Fotios Kounelis, Andreas Kanavos, Ioannis E. Livieris, Gerasimos Vonitsanos · 2019

    uncertain Transparent signal score 51/100 · policy 1.0.0

    Found in hal · DOI 10.1007/978-3-030-19909-8_21

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  2. IRfold: An RNA Secondary Structure Prediction Approach

    David Hurst, Costas S. Iliopoulos, Zara Lim, Ionut Moraru · 2024

    limited evidence Transparent signal score 49/100 · policy 1.0.0

    Found in hal · DOI 10.1007/978-3-031-63211-2_11

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  3. Quantification of secondary structure prediction improvement using multiple alignments

    Jonathan Levin, S. Pascarella, P. Argos, J. Garnier · 1993 · Protein Engineering

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in hal · DOI 10.1093/protein/6.8.849

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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. Analysis of an optimal hidden Markov model for secondary structure prediction

    Juliette Martin, Jean-François Gibrat, Francois F. Rodolphe · 2006 · BMC Structural Biology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.1186/1472-6807-6-25

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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. Comparative Study of Single-stranded Oligonucleotides Secondary Structure Prediction Tools

    Thomas Binet, Séverine Padiolleau-Lefèvre, Stéphane Octave, Bérangère Avalle · 2023 · BMC Bioinformatics

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.1186/s12859-023-05532-5

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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. An algorithm for protein secondary structure prediction based on class prediction.

    G. Deleage, B. Roux · 1987 · Protein Eng

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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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. Combining Protein Secondary Structure Prediction Models with Ensemble Methods of Optimal Complexity

    Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus · 2003 · Neurocomputing

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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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. Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction

    Yann Guermeur, Fabienne Thomarat · 2011

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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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. Quantification of secondary structure prediction improvement using distantly related proteins

    Jonathan Levin, Stefano Pascarella, Patrick Argos, Jean Garnier · 1993

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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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. SOPM: a self-optimized method for protein secondary structure prediction.

    C. Geourjon, G. Deleage · 1994 · Protein Eng

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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