Literature DB >> 20460129

Computational design of a PAK1 binding protein.

Ramesh K Jha1, Andrew Leaver-Fay, Shuangye Yin, Yibing Wu, Glenn L Butterfoss, Thomas Szyperski, Nikolay V Dokholyan, Brian Kuhlman.   

Abstract

We describe a computational protocol, called DDMI, for redesigning scaffold proteins to bind to a specified region on a target protein. The DDMI protocol is implemented within the Rosetta molecular modeling program and uses rigid-body docking, sequence design, and gradient-based minimization of backbone and side-chain torsion angles to design low-energy interfaces between the scaffold and target protein. Iterative rounds of sequence design and conformational optimization were needed to produce models that have calculated binding energies that are similar to binding energies calculated for native complexes. We also show that additional conformation sampling with molecular dynamics can be iterated with sequence design to further lower the computed energy of the designed complexes. To experimentally test the DDMI protocol, we redesigned the human hyperplastic discs protein to bind to the kinase domain of p21-activated kinase 1 (PAK1). Six designs were experimentally characterized. Two of the designs aggregated and were not characterized further. Of the remaining four designs, three bound to the PAK1 with affinities tighter than 350 muM. The tightest binding design, named Spider Roll, bound with an affinity of 100 muM. NMR-based structure prediction of Spider Roll based on backbone and (13)C(beta) chemical shifts using the program CS-ROSETTA indicated that the architecture of human hyperplastic discs protein is preserved. Mutagenesis studies confirmed that Spider Roll binds the target patch on PAK1. Additionally, Spider Roll binds to full-length PAK1 in its activated state but does not bind PAK1 when it forms an auto-inhibited conformation that blocks the Spider Roll target site. Subsequent NMR characterization of the binding of Spider Roll to PAK1 revealed a comparably small binding 'on-rate' constant (<<10(5) M(-1) s(-1)). The ability to rationally design the site of novel protein-protein interactions is an important step towards creating new proteins that are useful as therapeutics or molecular probes. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20460129      PMCID: PMC2903434          DOI: 10.1016/j.jmb.2010.05.006

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  37 in total

1.  Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.

Authors:  Jeffrey J Gray; Stewart Moughon; Chu Wang; Ora Schueler-Furman; Brian Kuhlman; Carol A Rohl; David Baker
Journal:  J Mol Biol       Date:  2003-08-01       Impact factor: 5.469

2.  Adaptation of a fast Fourier transform-based docking algorithm for protein design.

Authors:  Po-Ssu Huang; John J Love; Stephen L Mayo
Journal:  J Comput Chem       Date:  2005-09       Impact factor: 3.376

3.  Protein-protein docking with backbone flexibility.

Authors:  Chu Wang; Philip Bradley; David Baker
Journal:  J Mol Biol       Date:  2007-08-02       Impact factor: 5.469

4.  Maintaining solvent accessible surface area under rotamer substitution for protein design.

Authors:  Andrew Leaver-Fay; Glenn L Butterfoss; Jack Snoeyink; Brian Kuhlman
Journal:  J Comput Chem       Date:  2007-06       Impact factor: 3.376

Review 5.  Macromolecular modeling with rosetta.

Authors:  Rhiju Das; David Baker
Journal:  Annu Rev Biochem       Date:  2008       Impact factor: 23.643

6.  The program XEASY for computer-supported NMR spectral analysis of biological macromolecules.

Authors:  C Bartels; T H Xia; M Billeter; P Güntert; K Wüthrich
Journal:  J Biomol NMR       Date:  1995-07       Impact factor: 2.835

7.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

8.  Structure of PAK1 in an autoinhibited conformation reveals a multistage activation switch.

Authors:  M Lei; W Lu; W Meng; M C Parrini; M J Eck; B J Mayer; S C Harrison
Journal:  Cell       Date:  2000-08-04       Impact factor: 41.582

9.  High-affinity binders selected from designed ankyrin repeat protein libraries.

Authors:  H Kaspar Binz; Patrick Amstutz; Andreas Kohl; Michael T Stumpp; Christophe Briand; Patrik Forrer; Markus G Grütter; Andreas Plückthun
Journal:  Nat Biotechnol       Date:  2004-04-18       Impact factor: 54.908

10.  Ab initio folding of proteins with all-atom discrete molecular dynamics.

Authors:  Feng Ding; Douglas Tsao; Huifen Nie; Nikolay V Dokholyan
Journal:  Structure       Date:  2008-07       Impact factor: 5.006

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  38 in total

1.  Computational design of a symmetric homodimer using β-strand assembly.

Authors:  P Benjamin Stranges; Mischa Machius; Michael J Miley; Ashutosh Tripathy; Brian Kuhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-05       Impact factor: 11.205

2.  Computational design of a protein crystal.

Authors:  Christopher J Lanci; Christopher M MacDermaid; Seung-gu Kang; Rudresh Acharya; Benjamin North; Xi Yang; X Jade Qiu; William F DeGrado; Jeffery G Saven
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-25       Impact factor: 11.205

3.  Engineering a protein-protein interface using a computationally designed library.

Authors:  Gurkan Guntas; Carrie Purbeck; Brian Kuhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-25       Impact factor: 11.205

Review 4.  Molecular pathways: targeting p21-activated kinase 1 signaling in cancer--opportunities, challenges, and limitations.

Authors:  Jeyanthy Eswaran; Da-Qiang Li; Anil Shah; Rakesh Kumar
Journal:  Clin Cancer Res       Date:  2012-05-17       Impact factor: 12.531

5.  Redesign of the PAK1 autoinhibitory domain for enhanced stability and affinity in biosensor applications.

Authors:  Ramesh K Jha; Yi I Wu; Jon S Zawistowski; Chris MacNevin; Klaus M Hahn; Brian Kuhlman
Journal:  J Mol Biol       Date:  2011-08-24       Impact factor: 5.469

6.  Integration of cell-free protein coexpression with an enzyme-linked immunosorbent assay enables rapid analysis of protein-protein interactions directly from DNA.

Authors:  Curtis J Layton; Homme W Hellinga
Journal:  Protein Sci       Date:  2011-07-15       Impact factor: 6.725

7.  Restricted sidechain plasticity in the structures of native proteins and complexes.

Authors:  Sarel J Fleishman; Sagar D Khare; Nobuyasu Koga; David Baker
Journal:  Protein Sci       Date:  2011-04       Impact factor: 6.725

8.  A comparison of successful and failed protein interface designs highlights the challenges of designing buried hydrogen bonds.

Authors:  P Benjamin Stranges; Brian Kuhlman
Journal:  Protein Sci       Date:  2012-11-29       Impact factor: 6.725

9.  A structural bioinformatics approach for identifying proteins predisposed to bind linear epitopes on pre-selected target proteins.

Authors:  Eun Jung Choi; Ron Jacak; Brian Kuhlman
Journal:  Protein Eng Des Sel       Date:  2013-01-21       Impact factor: 1.650

10.  Computational design of proteins targeting the conserved stem region of influenza hemagglutinin.

Authors:  Sarel J Fleishman; Timothy A Whitehead; Damian C Ekiert; Cyrille Dreyfus; Jacob E Corn; Eva-Maria Strauch; Ian A Wilson; David Baker
Journal:  Science       Date:  2011-05-13       Impact factor: 47.728

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