Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models

Open Access

Richard R. Stein ,

* E-mail: maxent@sanderlab.org (RRS); maxent@sanderlab.org (CS)

Affiliation Computational Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Debora S. Marks,

Affiliation Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America
⨯
Chris Sander

* E-mail: maxent@sanderlab.org (RRS); maxent@sanderlab.org (CS)

Affiliation Computational Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Probability distribution
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Covariance
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Random variables
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Sequence alignment
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Information entropy
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Protein structure prediction
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Molecular evolution
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Protein sequencing
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