Department of Chemistry and *Graduate Program of Comparative Biochemistry, University of California, Berkeley, CA 94720; and tBerkeley Structural Gertomics Center, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Global mapping of the protein structure space and application in structure-based inference of protein function.

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Title: Department of Chemistry and *Graduate Program of Comparative Biochemistry, University of California, Berkeley, CA 94720; and tBerkeley Structural Gertomics Center, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Global mapping of the protein structure space and application in structure-based inference of protein function.
Authors: Jingtong Hou1, Se-Ran Jun2, Chao Zhang3, Sung-Hou Kim1,2,3 shkim@cchem.berkeIey.edu
Source: Proceedings of the National Academy of Sciences of the United States of America. 3/8/2005, Vol. 102 Issue 10, p3651-3656. 6p.
Subjects: Protein conformation, Biochemistry, Biomolecules, Protein folding, Medical sciences, Universities & colleges
Abstract: We have constructed a map of the "protein structure space" by using the pairwise structural similarity scores calculated for all nonredundant protein structures determined experimentally. As expected, proteins with similar structures clustered together in the map and the overall distribution of structural classes of this map followed closely that of the map of the "protein fold space" we have reported previously. Consequently, proteins sharing similar molecular functions also were found to colocalize in the protein structure space map, pointing toward a previously undescribed scheme for structure-based functional inference for remote homologues based on the proximity in the map of the protein structure space. We found that this scheme consistently outperformed other predictions made by using either the raw scores or normalized Z-scores of pairwise DALI structure alignment. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Department of Chemistry and *Graduate Program of Comparative Biochemistry, University of California, Berkeley, CA 94720; and tBerkeley Structural Gertomics Center, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Global mapping of the protein structure space and application in structure-based inference of protein function.
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  Data: <searchLink fieldCode="DE" term="%22Protein+conformation%22">Protein conformation</searchLink><br /><searchLink fieldCode="DE" term="%22Biochemistry%22">Biochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Biomolecules%22">Biomolecules</searchLink><br /><searchLink fieldCode="DE" term="%22Protein+folding%22">Protein folding</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+sciences%22">Medical sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Universities+%26+colleges%22">Universities & colleges</searchLink>
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  Data: We have constructed a map of the "protein structure space" by using the pairwise structural similarity scores calculated for all nonredundant protein structures determined experimentally. As expected, proteins with similar structures clustered together in the map and the overall distribution of structural classes of this map followed closely that of the map of the "protein fold space" we have reported previously. Consequently, proteins sharing similar molecular functions also were found to colocalize in the protein structure space map, pointing toward a previously undescribed scheme for structure-based functional inference for remote homologues based on the proximity in the map of the protein structure space. We found that this scheme consistently outperformed other predictions made by using either the raw scores or normalized Z-scores of pairwise DALI structure alignment. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1073/pnas.0409772102
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        Text: English
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      – SubjectFull: Protein conformation
        Type: general
      – SubjectFull: Biochemistry
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      – SubjectFull: Biomolecules
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      – SubjectFull: Protein folding
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      – TitleFull: Department of Chemistry and *Graduate Program of Comparative Biochemistry, University of California, Berkeley, CA 94720; and tBerkeley Structural Gertomics Center, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Global mapping of the protein structure space and application in structure-based inference of protein function.
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              Text: 3/8/2005
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