Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling

Open Access

Peer-reviewed

Research Article

Stefan Engelen,

Affiliations Génomique Analytique, Université Pierre et Marie Curie-Paris 6, UMR S511, Paris, France, INSERM, U511, Paris, France
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Ladislas A. Trojan,

Affiliations Génomique Analytique, Université Pierre et Marie Curie-Paris 6, UMR S511, Paris, France, INSERM, U511, Paris, France
⨯
Sophie Sacquin-Mora,

Affiliation Laboratoire de Biochimie Théorique, IBPC, Paris, France
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Richard Lavery,

Affiliation Institut de Biologie et Chimie des Protéines, CNRS UMR 5086/IFR 128/Université de Lyon, Lyon, France
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Alessandra Carbone

* E-mail: Alessandra.Carbone@lip6.fr

Affiliations Génomique Analytique, Université Pierre et Marie Curie-Paris 6, UMR S511, Paris, France, INSERM, U511, Paris, France
⨯

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Protein interactions
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Protein structure
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Sequence alignment
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Protein structure prediction
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RNA structure
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Trees
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Multiple alignment calculation
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Enzyme inhibitors
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