Design principles of the common Gly-X6-Gly membrane protein building block
Abstract
Protein behavior in lipids is poorly understood and inadequately represented in current computational models. Design and prediction abilities for bilayer-embedded molecular structures may be improved by characterizing membrane proteins’ most frequent, favored structural features to glean both context-specific and general principles. We used protein design to proactively interrogate the sequence–structure relationship and stabilizing atomic details of two highly prevalent antiparallel transmembrane (TM) motifs with Small-X 6 -Small consensus sequences. A fragment-based data-mining and sequence statistical inference method including cross-evolutionary structure-aligned covariance enabled engineering of de novo TM protein assemblies by successfully encoding Gly-X6-Gly and Ala-X6-Ala building blocks. A highly stable glycine-based design’s X-ray structure hosts Cα-H∙∙∙O = C H-bonding alongside extensive backbone-directed van der Waals packing, idealizing features of this motif in Nature. Data-driven design navigates sequence space to directly inquire upon how to encode and stabilize vital membrane protein structural elements, facilitating efficacious construction of lipid-embedded architectures of increasing complexity.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (12)
Kiana Golden
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Catalina Avarvarei
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Charlie T. Anderson
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Matthew Holcomb
Department of Integrative Structural and Computational Biology
Weiyi Tang
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Xiaoping Dai
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Minghao Zhang
Colleen A. Mailie
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Brittany B. Sanchez
Department of Chemistry, The Scripps Research Institute
Jason S. Chen
Department of Chemistry, The Scripps Research Institute
Stefano Forli
Department of Integrative Structural and Computational Biology
Marco Mravic
Department of Integrative Structural and Computational Biology, The Scripps Research Institute