Literature DB >> 26396255

Control over overall shape and size in de novo designed proteins.

Yu-Ru Lin1, Nobuyasu Koga2, Rie Tatsumi-Koga3, Gaohua Liu4, Amanda F Clouser1, Gaetano T Montelione5, David Baker6.   

Abstract

We recently described general principles for designing ideal protein structures stabilized by completely consistent local and nonlocal interactions. The principles relate secondary structure patterns to tertiary packing motifs and enable design of different protein topologies. To achieve fine control over protein shape and size within a particular topology, we have extended the design rules by systematically analyzing the codependencies between the lengths and packing geometry of successive secondary structure elements and the backbone torsion angles of the loop linking them. We demonstrate the control afforded by the resulting extended rule set by designing a series of proteins with the same fold but considerable variation in secondary structure length, loop geometry, β-strand registry, and overall shape. Solution NMR structures of four designed proteins for two different folds show that protein shape and size can be precisely controlled within a given protein fold. These extended design principles provide the foundation for custom design of protein structures performing desired functions.

Keywords:  control protein shape; de novo design; ideal protein; protein design

Mesh:

Substances:

Year:  2015        PMID: 26396255      PMCID: PMC4603489          DOI: 10.1073/pnas.1509508112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

1.  Strand-loop-strand motifs: prediction of hairpins and diverging turns in proteins.

Authors:  Michael Kuhn; Jens Meiler; David Baker
Journal:  Proteins       Date:  2004-02-01

Review 2.  Helix capping.

Authors:  R Aurora; G D Rose
Journal:  Protein Sci       Date:  1998-01       Impact factor: 6.725

3.  Discovering protein secondary structures: classification and description of isolated alpha-turns.

Authors:  V Pavone; G Gaeta; A Lombardi; F Nastri; O Maglio; C Isernia; M Saviano
Journal:  Biopolymers       Date:  1996-06       Impact factor: 2.505

4.  Engineered coiled-coil protein microfibers.

Authors:  Jasmin Hume; Jennifer Sun; Rudy Jacquet; P Douglas Renfrew; Jesse A Martin; Richard Bonneau; M Lane Gilchrist; Jin Kim Montclare
Journal:  Biomacromolecules       Date:  2014-10-02       Impact factor: 6.988

5.  Amino acid preferences for specific locations at the ends of alpha helices.

Authors:  J S Richardson; D C Richardson
Journal:  Science       Date:  1988-06-17       Impact factor: 47.728

6.  Automatic classification and analysis of alpha alpha-turn motifs in proteins.

Authors:  R T Wintjens; M J Rooman; S J Wodak
Journal:  J Mol Biol       Date:  1996-01-12       Impact factor: 5.469

7.  Computational design of ligand-binding proteins with high affinity and selectivity.

Authors:  Christine E Tinberg; Sagar D Khare; Jiayi Dou; Lindsey Doyle; Jorgen W Nelson; Alberto Schena; Wojciech Jankowski; Charalampos G Kalodimos; Kai Johnsson; Barry L Stoddard; David Baker
Journal:  Nature       Date:  2013-09-04       Impact factor: 49.962

8.  NMR data collection and analysis protocol for high-throughput protein structure determination.

Authors:  Gaohua Liu; Yang Shen; Hanudatta S Atreya; David Parish; Ying Shao; Dinesh K Sukumaran; Rong Xiao; Adelinda Yee; Alexander Lemak; Aneerban Bhattacharya; Thomas A Acton; Cheryl H Arrowsmith; Gaetano T Montelione; Thomas Szyperski
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-18       Impact factor: 11.205

9.  Computational design of self-assembling protein nanomaterials with atomic level accuracy.

Authors:  Neil P King; William Sheffler; Michael R Sawaya; Breanna S Vollmar; John P Sumida; Ingemar André; Tamir Gonen; Todd O Yeates; David Baker
Journal:  Science       Date:  2012-06-01       Impact factor: 47.728

10.  Principles for designing ideal protein structures.

Authors:  Nobuyasu Koga; Rie Tatsumi-Koga; Gaohua Liu; Rong Xiao; Thomas B Acton; Gaetano T Montelione; David Baker
Journal:  Nature       Date:  2012-11-08       Impact factor: 49.962

View more
  42 in total

1.  Massively parallel de novo protein design for targeted therapeutics.

Authors:  Aaron Chevalier; Daniel-Adriano Silva; Gabriel J Rocklin; Derrick R Hicks; Renan Vergara; Patience Murapa; Steffen M Bernard; Lu Zhang; Kwok-Ho Lam; Guorui Yao; Christopher D Bahl; Shin-Ichiro Miyashita; Inna Goreshnik; James T Fuller; Merika T Koday; Cody M Jenkins; Tom Colvin; Lauren Carter; Alan Bohn; Cassie M Bryan; D Alejandro Fernández-Velasco; Lance Stewart; Min Dong; Xuhui Huang; Rongsheng Jin; Ian A Wilson; Deborah H Fuller; David Baker
Journal:  Nature       Date:  2017-09-27       Impact factor: 49.962

2.  Cyclic oligomer design with de novo αβ-proteins.

Authors:  Yu-Ru Lin; Nobuyasu Koga; Sergey M Vorobiev; David Baker
Journal:  Protein Sci       Date:  2017-11       Impact factor: 6.725

3.  Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics Simulations.

Authors:  Emilia P Barros; Jamie M Schiffer; Anastassia Vorobieva; Jiayi Dou; David Baker; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2019-09-10       Impact factor: 6.006

Review 4.  The coming of age of de novo protein design.

Authors:  Po-Ssu Huang; Scott E Boyken; David Baker
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

Review 5.  Hierarchical design of artificial proteins and complexes toward synthetic structural biology.

Authors:  Ryoichi Arai
Journal:  Biophys Rev       Date:  2017-12-14

Review 6.  Biophysical research in Okazaki, Japan.

Authors:  Shuji Akiyama; Kazuhiro Aoki; Yoshihiro Kubo
Journal:  Biophys Rev       Date:  2020-02-15

Review 7.  Building machines with DNA molecules.

Authors:  Hamid Ramezani; Hendrik Dietz
Journal:  Nat Rev Genet       Date:  2019-10-21       Impact factor: 53.242

Review 8.  Algorithms for protein design.

Authors:  Pablo Gainza; Hunter M Nisonoff; Bruce R Donald
Journal:  Curr Opin Struct Biol       Date:  2016-04-14       Impact factor: 6.809

9.  Incorporation of sensing modalities into de novo designed fluorescence-activating proteins.

Authors:  Lindsey A Doyle; Justin Daho Lee; Jason C Klima; Michael Rappleye; Lauren A Gagnon; Min Yen Lee; Emilia P Barros; Anastassia A Vorobieva; Jiayi Dou; Samantha Bremner; Jacob S Quon; Cameron M Chow; Lauren Carter; David L Mack; Rommie E Amaro; Joshua C Vaughan; Andre Berndt; Barry L Stoddard; David Baker
Journal:  Nat Commun       Date:  2021-02-08       Impact factor: 14.919

10.  Expanding the space of protein geometries by computational design of de novo fold families.

Authors:  Xingjie Pan; Michael C Thompson; Yang Zhang; Lin Liu; James S Fraser; Mark J S Kelly; Tanja Kortemme
Journal:  Science       Date:  2020-08-28       Impact factor: 47.728

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.