Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction
Abstract Background Fragment libraries play a key role in fragment-assembly based protein structure prediction, where protein fragments are assembled to form a complete three-dimensional structure. Rich and accurate structural information embedded in fragment libraries has not been systematically ex...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-06-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-021-04258-6 |
| _version_ | 1818918084632641536 |
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| author | Siyuan Liu Tong Wang Qijiang Xu Bin Shao Jian Yin Tie-Yan Liu |
| author_facet | Siyuan Liu Tong Wang Qijiang Xu Bin Shao Jian Yin Tie-Yan Liu |
| author_sort | Siyuan Liu |
| collection | DOAJ |
| description | Abstract Background Fragment libraries play a key role in fragment-assembly based protein structure prediction, where protein fragments are assembled to form a complete three-dimensional structure. Rich and accurate structural information embedded in fragment libraries has not been systematically extracted and used beyond fragment assembly. Methods To better leverage the valuable structural information for protein structure prediction, we extracted seven types of structural information from fragment libraries. We broadened the usage of such structural information by transforming fragment libraries into protein-specific potentials for gradient-descent based protein folding and encoding fragment libraries as structural features for protein property prediction. Results Fragment libraires improved the accuracy of protein folding and outperformed state-of-the-art algorithms with respect to predicted properties, such as torsion angles and inter-residue distances. Conclusion Our work implies that the rich structural information extracted from fragment libraries can complement sequence-derived features to help protein structure prediction. |
| first_indexed | 2024-12-20T00:44:20Z |
| format | Article |
| id | doaj.art-8b6dd7d6b7254d8893022d791c36cdd2 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-12-20T00:44:20Z |
| publishDate | 2021-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-8b6dd7d6b7254d8893022d791c36cdd22022-12-21T19:59:26ZengBMCBMC Bioinformatics1471-21052021-06-0122111810.1186/s12859-021-04258-6Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure predictionSiyuan Liu0Tong Wang1Qijiang Xu2Bin Shao3Jian Yin4Tie-Yan Liu5School of Data and Computer Science, Sun Yat-Sen UniversityMicrosoft Research AsiaMicrosoft Research AsiaMicrosoft Research AsiaSchool of Data and Computer Science, Sun Yat-Sen UniversityMicrosoft Research AsiaAbstract Background Fragment libraries play a key role in fragment-assembly based protein structure prediction, where protein fragments are assembled to form a complete three-dimensional structure. Rich and accurate structural information embedded in fragment libraries has not been systematically extracted and used beyond fragment assembly. Methods To better leverage the valuable structural information for protein structure prediction, we extracted seven types of structural information from fragment libraries. We broadened the usage of such structural information by transforming fragment libraries into protein-specific potentials for gradient-descent based protein folding and encoding fragment libraries as structural features for protein property prediction. Results Fragment libraires improved the accuracy of protein folding and outperformed state-of-the-art algorithms with respect to predicted properties, such as torsion angles and inter-residue distances. Conclusion Our work implies that the rich structural information extracted from fragment libraries can complement sequence-derived features to help protein structure prediction.https://doi.org/10.1186/s12859-021-04258-6Fragment libraryStructural informationProtein property predictionProtein folding |
| spellingShingle | Siyuan Liu Tong Wang Qijiang Xu Bin Shao Jian Yin Tie-Yan Liu Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction BMC Bioinformatics Fragment library Structural information Protein property prediction Protein folding |
| title | Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction |
| title_full | Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction |
| title_fullStr | Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction |
| title_full_unstemmed | Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction |
| title_short | Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction |
| title_sort | complementing sequence derived features with structural information extracted from fragment libraries for protein structure prediction |
| topic | Fragment library Structural information Protein property prediction Protein folding |
| url | https://doi.org/10.1186/s12859-021-04258-6 |
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