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Specificities of Modeling of Membrane Proteins Using Multi-Template Homology Modeling

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Homology Modeling

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2627))

Abstract

Structures of membrane proteins are challenging to determine experimentally and currently represent only about 2% of the structures in the Protein Data Bank. Because of this disparity, methods for modeling membrane proteins are fewer and of lower quality than those for modeling soluble proteins. However, better expression, crystallization, and cryo-EM techniques have prompted a recent increase in experimental structures of membrane proteins, which can act as templates to predict the structure of closely related proteins through homology modeling. Because homology modeling relies on a structural template, it is easier and more accurate than fold recognition methods or de novo modeling, which are used when the sequence similarity between the query sequence and the sequence of related proteins in structural databases is below 25%. In homology modeling, a query sequence is mapped onto the coordinates of a single template and refined. With the increase in available templates, several templates often cover overlapping segments of the query sequence. Multi-template modeling can be used to identify the best template for local segments and join them into a single model. Here we provide a protocol for modeling membrane proteins from multiple templates in the Rosetta software suite. This approach takes advantage of several integrated frameworks, namely, RosettaScripts, RosettaCM, and RosettaMP with the membrane scoring function.

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Author information

Authors and Affiliations

  1. Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA

    Julia Koehler Leman & Richard Bonneau

  2. Department of Biology, New York University, New York, NY, USA

    Richard Bonneau

  3. Department of Computer Science, New York University, New York, NY, USA

    Richard Bonneau

  4. Center for Data Science, New York University, New York, NY, USA

    Richard Bonneau

  5. Prescient Design, a Genentech Accelerator, New York, NY, USA

    Richard Bonneau

Authors
  1. Julia Koehler Leman
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  2. Richard Bonneau
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Editors and Affiliations

  1. Faculty of Chemistry, University of Warsaw, Warsaw, Poland

    SÅ‚awomir Filipek

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Koehler Leman, J., Bonneau, R. (2023). Specificities of Modeling of Membrane Proteins Using Multi-Template Homology Modeling. In: Filipek, S. (eds) Homology Modeling. Methods in Molecular Biology, vol 2627. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2974-1_8

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  • DOI: https://doi.org/10.1007/978-1-0716-2974-1_8

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2973-4

  • Online ISBN: 978-1-0716-2974-1

  • eBook Packages: Springer Protocols

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