Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces

Johanna Laibe; Melanie Broutin; Aaron Caffrey; Barbara Pierscionek; Jean-Christophe Nebel

doi:10.1007/978-3-319-56154-7

Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces

Johanna Laibe, Melanie Broutin, Aaron Caffrey, Barbara Pierscionek, Jean-Christophe Nebel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530
DOIs	https://doi.org/10.1007/978-3-319-56154-7
Publication status	Published - Apr 2017

Bibliographical note

Note: Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530

Keywords

Biological sciences

Access to Document

10.1007/978-3-319-56154-7

Laibe-J-36634-AAMAccepted author manuscript, 637 KBLicence: Unspecified

http://dx.doi.org/10.1007/978-3-319-56154-7

1 Paper

Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces
Laibe, J., Broutin, M., Caffrey, A., Pierscionek, B. & Nebel, J.-C., Apr 2017.
Research output: Contribution to conference › Paper › peer-review

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Laibe, J., Broutin, M., Caffrey, A., Pierscionek, B., & Nebel, J.-C. (2017). Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530 https://doi.org/10.1007/978-3-319-56154-7

Laibe, Johanna ; Broutin, Melanie ; Caffrey, Aaron et al. / Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530. 2017.

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Laibe, J, Broutin, M, Caffrey, A, Pierscionek, B & Nebel, J-C 2017, Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. in Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530. https://doi.org/10.1007/978-3-319-56154-7

Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. / Laibe, Johanna; Broutin, Melanie; Caffrey, Aaron et al.
Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530. 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Laibe J, Broutin M, Caffrey A, Pierscionek B, Nebel JC. Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In Published as: Laibe, Johanna, Broutin, Melanie, Caffrey, Aaron, Pierscionek, Barbara and Nebel, Jean-Christophe (2017) Data mining the protein data bank to identify and characterise chameleon coil sequences that form symmetric homodimer [beta]-sheet interfaces. In: Rojas, Ignacio and Ortuno, Francisco, (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2017, Proceedings, Part II. Cham, Switzerland : Springer Nature. pp. 118-126. (Lecture Notes in Computer Science, no. 10209) ISSN (print) 0302-9743 ISBN 9783319561530. 2017 doi: 10.1007/978-3-319-56154-7