Combinatorial Clustering of Residue Position Subsets Predicts Inhibitor Affinity across the Human Kinome

Open Access

Peer-reviewed

Research Article

Drew H. Bryant,

Affiliation Department of Computer Science, Rice University, Houston, Texas, United States of America
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Mark Moll,

Affiliation Department of Computer Science, Rice University, Houston, Texas, United States of America
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Paul W. Finn,

Affiliation InhibOx Ltd, Oxford, United Kingdom
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Lydia E. Kavraki

* E-mail: kavraki@rice.edu

Affiliations Department of Computer Science, Rice University, Houston, Texas, United States of America, Department of Bioengineering, Rice University, Houston, Texas, United States of America
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Phylogenetics
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Kinase inhibitors
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Protein kinases
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Binding analysis
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Protein structure comparison
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Protein structure
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Protein domains
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Protein structure prediction
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