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Analysis of Binding Residues between PDGF-BB and Epidermal Growth Factor Receptor: A Computational Docking Study

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Advances in Computational Biology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 232))

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Abstract

A directed docking was performed using Cluspro between human PDGF-BB and EGFR using specific templates obtained from PDB. Various conserved residues were found to be involved in the docking interaction of the complex by means of hydrophobic interactions and hydrogen bonds. An electrostatic potential evaluation of the PDGF-BB-EGFR complex was also performed to validate if the complex is electrostatically complementary in the binding area. Results suggested a possible binding mechanism which could explain the in vivo evidence of formation of heterodimeric receptors EGFR-PDGFR.

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Authors and Affiliations

  1. School of Sciences, Department of Nutrition and Biochemistry, Pontificia Universidad Javeriana, Bogotá, Colombia

    Ricardo Cabezas, Daniel Torrente, Marco Fidel Avila, Jannet González & George Emilio Barreto

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  1. Ricardo Cabezas
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  2. Daniel Torrente
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  3. Marco Fidel Avila
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  4. Jannet González
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  5. George Emilio Barreto
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Corresponding author

Correspondence to Ricardo Cabezas .

Editor information

Editors and Affiliations

  1. University of Caldas, Manizales, Colombia

    Luis F. Castillo

  2. Cenicafé - Centro Nacional de Investigaciones del Café en Colombia, Chinchiná, Colombia

    Marco Cristancho

  3. University of Caldas, Manizales, Colombia

    Gustavo Isaza

  4. BIOS - Centro Bioinformática y Biologia Computacional de Colombia, Manizales, Colombia

    Andrés Pinzón

  5. Department of Computer Science School of Science, University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado Rodríguez

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Cabezas, R., Torrente, D., Avila, M.F., González, J., Barreto, G.E. (2014). Analysis of Binding Residues between PDGF-BB and Epidermal Growth Factor Receptor: A Computational Docking Study. In: Castillo, L., Cristancho, M., Isaza, G., Pinzón, A., Rodríguez, J. (eds) Advances in Computational Biology. Advances in Intelligent Systems and Computing, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-01568-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-01568-2_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01567-5

  • Online ISBN: 978-3-319-01568-2

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