Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties

Wenxu Tong; Ying Wei; Leonel F. Murga; Mary Jo Ondrechen; Ronald J. Williams

doi:10.1371/journal.pcbi.1000266

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Open Access

Peer-reviewed

Research Article

Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties

Wenxu Tong,

Affiliations College of Computer and Information Science, Northeastern University, Boston, Massachusetts, United States of America, Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America
⨯
Ying Wei,

Affiliations Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America, Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts, United States of America
⨯
Leonel F. Murga,

Affiliations Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America, Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts, United States of America
⨯
Mary Jo Ondrechen ,

* E-mail: M.Ondrechen@neu.edu (MO); rjw@ccs.neu.edu (RJW)

Affiliations Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America, Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts, United States of America
⨯
Ronald J. Williams

* E-mail: M.Ondrechen@neu.edu (MO); rjw@ccs.neu.edu (RJW)

Affiliations College of Computer and Information Science, Northeastern University, Boston, Massachusetts, United States of America, Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America
⨯

Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties

Wenxu Tong,
Ying Wei,
Leonel F. Murga,
Mary Jo Ondrechen,
Ronald J. Williams

Published: January 16, 2009
https://doi.org/10.1371/journal.pcbi.1000266

About the Authors

Wenxu Tong

Affiliations College of Computer and Information Science, Northeastern University, Boston, Massachusetts, United States of America, Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America

Ying Wei

Affiliations Institute for Complex Scientific Software, Northeastern University, Boston, Massachusetts, United States of America, Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts, United States of America

Leonel F. Murga

Mary Jo Ondrechen

* E-mail: M.Ondrechen@neu.edu (MO); rjw@ccs.neu.edu (RJW)

Ronald J. Williams

* E-mail: M.Ondrechen@neu.edu (MO); rjw@ccs.neu.edu (RJW)

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: WT MJO RJW. Performed the experiments: WT YW LFM. Analyzed the data: WT YW LFM MJO RJW. Contributed reagents/materials/analysis tools: MJO RJW. Wrote the paper: WT MJO RJW.

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Protein structure prediction
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Protein structure
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Structural genomics
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Protein folding
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Protein structure comparison
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Sequence alignment
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Forecasting
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Structural proteins
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