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Showing 1 to 6 of 6 for “"Sequence Analysis, Protein"”.

  1. Exploring Sequence-Structure-Function Relationships in Proteins Using Classification Schemes

    With the rapid growth in the number of available protein sequences and structures, the necessity of interpreting this data in comprehensive and meaningful ways becomes increasingly apparent. Identifying and categorizing the functional, structural, and evolutionary relationships between proteins is …

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  2. Algorithmic Developments for Sequence Analysis, Structure Modeling and Functional Prediction of Proteins

    Sequence, structure and function, being the three most important properties of proteins, are interrelated through homology relationships. In this post-genome era, we are equipped with abundant sequence information. Homology inference is thus of great practical importance because of its ability to …

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  3. Toward Structural and Functional Predictions from Biological Sequences

    Biological sequences, including DNA and protein sequences, are believed to encode sufficient information to determine the structure and function of biological molecules, which in turn decide the phenotypic traits of animals. Deciphering the biological sequences is an important and multiscale …

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  4. Distinct Functional Phases in Proteins: A Test by Large-Scale Protein Design

    Note: The general metadata -- e.g., title, author, abstract, subject headings, etc. -- is publicly available, but access to the submitted files is restricted to UT Southwestern campus access only.

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  5. Improving neural networks for biological sequence analysis through problem-specific customizations

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Improving neural networks for biological sequence analysis through problem-specific customizations (opens in a new tab)

  6. Improving neural networks for biological sequence analysis through problem-specific customizations

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Improving neural networks for biological sequence analysis through problem-specific customizations (opens in a new tab)