Accurate computational design of multipass transmembrane proteins

By P. Lu, Duyoung Min, Frank DiMaio, K. Wei, M. Vahey, Scott E. Boyken, Zibo Chen, J. Fallas, G. Ueda, W. Sheffler and 4 more. 2018

159 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

De novo protein design, a retrospective (2020, methodology): “More recently, Rosetta has brought most of the essential steps into a single framework, simplifying the overall process and allowing inclusion of structural bioinformatics data into the design process (Leaver-Fay et al., 2011).”
Recent advances in de novo protein design: Principles, methods, and applications (2021, methodology): “Accurate multi-pass transmembrane proteins were designed (148) using a recently developed framework for membrane protein modeling (149) (Fig.”
Protein Structure Prediction and Design in a Biologically Realistic Implicit Membrane. (2020, background): “IMM1 has been applied to various biomolecular modeling problems, including studies of antimicrobial peptides (29), de novo folding (30), and de novo design of transmembrane helical bundles (10).”
A general-purpose protein design framework based on mining sequence–structure relationships in known protein structures (2018, unknown): “Nevertheless, despite all of these developments, and many examples of successful designs in the literature (18, 26-35), it is still the case that CPD methods are not robust.”
Essentials of de novo protein design: Methods and applications (2018, background): “35 This approach offers two advantages: first, it ensures that hydrophobic and polar amino acids are placed in the correct positions; and second, using a reduced alpha-bet for each amino acid position speeds up the computation.”