Literature DB >> 33955480

A fragment-based protein interface design algorithm for symmetric assemblies.

Joshua Laniado1, Kyle Meador2, Todd O Yeates1,2,3.   

Abstract

Theoretical and experimental advances in protein engineering have led to the creation of precisely defined, novel protein assemblies of great size and complexity, with diverse applications. One powerful approach involves designing a new attachment or binding interface between two simpler symmetric oligomeric protein components. The required methods of design, which present both similarities and key differences compared to problems in protein docking, remain challenging and are not yet routine. With the aim of more fully enabling this emerging area of protein material engineering, we developed a computer program, nanohedra, to introduce two key advances. First, we encoded in the program the construction rules (i.e. the search space parameters) that underlie all possible symmetric material constructions. Second, we developed algorithms for rapidly identifying favorable docking/interface arrangements based on tabulations of empirical patterns of known protein fragment-pair associations. As a result, the candidate poses that nanohedra generates for subsequent amino acid interface design appear highly native-like (at the protein backbone level), while simultaneously conforming to the exacting requirements for symmetry-based assembly. A retrospective computational analysis of successful vs failed experimental studies supports the expectation that this should improve the success rate for this challenging area of protein engineering.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  algorithms; docking; protein design; protein interfaces; secondary structure; self-assembly; symmetry

Mesh:

Substances:

Year:  2021        PMID: 33955480      PMCID: PMC8101011          DOI: 10.1093/protein/gzab008

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.952


  49 in total

1.  Programmable design of orthogonal protein heterodimers.

Authors:  Zibo Chen; Scott E Boyken; Mengxuan Jia; Florian Busch; David Flores-Solis; Matthew J Bick; Peilong Lu; Zachary L VanAernum; Aniruddha Sahasrabuddhe; Robert A Langan; Sherry Bermeo; T J Brunette; Vikram Khipple Mulligan; Lauren P Carter; Frank DiMaio; Nikolaos G Sgourakis; Vicki H Wysocki; David Baker
Journal:  Nature       Date:  2018-12-19       Impact factor: 49.962

2.  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

Review 3.  The design of symmetric protein nanomaterials comes of age in theory and practice.

Authors:  Todd O Yeates; Yuxi Liu; Joshua Laniado
Journal:  Curr Opin Struct Biol       Date:  2016-07-29       Impact factor: 6.809

4.  PDB-wide identification of biological assemblies from conserved quaternary structure geometry.

Authors:  Sucharita Dey; David W Ritchie; Emmanuel D Levy
Journal:  Nat Methods       Date:  2017-11-20       Impact factor: 28.547

5.  Biopython: freely available Python tools for computational molecular biology and bioinformatics.

Authors:  Peter J A Cock; Tiago Antao; Jeffrey T Chang; Brad A Chapman; Cymon J Cox; Andrew Dalke; Iddo Friedberg; Thomas Hamelryck; Frank Kauff; Bartek Wilczynski; Michiel J L de Hoon
Journal:  Bioinformatics       Date:  2009-03-20       Impact factor: 6.937

6.  Structure of a designed protein cage that self-assembles into a highly porous cube.

Authors:  Yen-Ting Lai; Eamonn Reading; Greg L Hura; Kuang-Lei Tsai; Arthur Laganowsky; Francisco J Asturias; John A Tainer; Carol V Robinson; Todd O Yeates
Journal:  Nat Chem       Date:  2014-11-10       Impact factor: 24.427

Review 7.  Array programming with NumPy.

Authors:  Charles R Harris; K Jarrod Millman; Stéfan J van der Walt; Ralf Gommers; Pauli Virtanen; David Cournapeau; Eric Wieser; Julian Taylor; Sebastian Berg; Nathaniel J Smith; Robert Kern; Matti Picus; Stephan Hoyer; Marten H van Kerkwijk; Matthew Brett; Allan Haldane; Jaime Fernández Del Río; Mark Wiebe; Pearu Peterson; Pierre Gérard-Marchant; Kevin Sheppard; Tyler Reddy; Warren Weckesser; Hameer Abbasi; Christoph Gohlke; Travis E Oliphant
Journal:  Nature       Date:  2020-09-16       Impact factor: 49.962

8.  Tailored design of protein nanoparticle scaffolds for multivalent presentation of viral glycoprotein antigens.

Authors:  George Ueda; Aleksandar Antanasijevic; Jorge A Fallas; William Sheffler; Jeffrey Copps; Daniel Ellis; Geoffrey B Hutchinson; Adam Moyer; Anila Yasmeen; Yaroslav Tsybovsky; Young-Jun Park; Matthew J Bick; Banumathi Sankaran; Rebecca A Gillespie; Philip Jm Brouwer; Peter H Zwart; David Veesler; Masaru Kanekiyo; Barney S Graham; Rogier W Sanders; John P Moore; Per Johan Klasse; Andrew B Ward; Neil P King; David Baker
Journal:  Elife       Date:  2020-08-04       Impact factor: 8.140

9.  A general-purpose protein design framework based on mining sequence-structure relationships in known protein structures.

Authors:  Jianfu Zhou; Alexandra E Panaitiu; Gevorg Grigoryan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-31       Impact factor: 11.205

10.  Modular repeat protein sculpting using rigid helical junctions.

Authors:  T J Brunette; Matthew J Bick; Jesse M Hansen; Cameron M Chow; Justin M Kollman; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-03       Impact factor: 11.205

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