DBSI server: DNA binding site identifier

Shravan Sukumar; Xiaolei Zhu; Spencer S. Ericksen; Julie C. Mitchell

doi:10.1093/bioinformatics/btw315

DBSI server: DNA binding site identifier

Shravan Sukumar, Xiaolei Zhu, Spencer S. Ericksen, Julie C. Mitchell

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Protein-nucleic acid interactions are among the most important intermolecular interactions in the regulation of cellular events. Identifying residues involved in these interactions from protein structure alone is an important challenge. Here we introduce the webserver interface to DNA Binding Site Identifier (DBSI), a powerful structure-based SVM model for the prediction and visualization of DNA binding sites on protein structures. DBSI has been shown to be a top-performing model to predict DNA binding sites on the surface of a protein or peptide and shows promise in predicting RNA binding sites.

Original language	English
Pages (from-to)	2853-2855
Number of pages	3
Journal	Bioinformatics
Volume	32
Issue number	18
DOIs	https://doi.org/10.1093/bioinformatics/btw315
State	Published - Sep 15 2016
Externally published	Yes

Funding

This work was supported by the National Science Foundation [NSF DMS 1160360].

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10.1093/bioinformatics/btw315

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abstract = "Protein-nucleic acid interactions are among the most important intermolecular interactions in the regulation of cellular events. Identifying residues involved in these interactions from protein structure alone is an important challenge. Here we introduce the webserver interface to DNA Binding Site Identifier (DBSI), a powerful structure-based SVM model for the prediction and visualization of DNA binding sites on protein structures. DBSI has been shown to be a top-performing model to predict DNA binding sites on the surface of a protein or peptide and shows promise in predicting RNA binding sites.",

author = "Shravan Sukumar and Xiaolei Zhu and Ericksen, \{Spencer S.\} and Mitchell, \{Julie C.\}",

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AU - Sukumar, Shravan

AU - Zhu, Xiaolei

AU - Ericksen, Spencer S.

AU - Mitchell, Julie C.

PY - 2016/9/15

Y1 - 2016/9/15

N2 - Protein-nucleic acid interactions are among the most important intermolecular interactions in the regulation of cellular events. Identifying residues involved in these interactions from protein structure alone is an important challenge. Here we introduce the webserver interface to DNA Binding Site Identifier (DBSI), a powerful structure-based SVM model for the prediction and visualization of DNA binding sites on protein structures. DBSI has been shown to be a top-performing model to predict DNA binding sites on the surface of a protein or peptide and shows promise in predicting RNA binding sites.

AB - Protein-nucleic acid interactions are among the most important intermolecular interactions in the regulation of cellular events. Identifying residues involved in these interactions from protein structure alone is an important challenge. Here we introduce the webserver interface to DNA Binding Site Identifier (DBSI), a powerful structure-based SVM model for the prediction and visualization of DNA binding sites on protein structures. DBSI has been shown to be a top-performing model to predict DNA binding sites on the surface of a protein or peptide and shows promise in predicting RNA binding sites.

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DO - 10.1093/bioinformatics/btw315

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JO - Bioinformatics

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DBSI server: DNA binding site identifier

Abstract

Funding

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