Literature DB >> 30625288

Changing the Apoptosis Pathway through Evolutionary Protein Design.

David Shultis1, Pralay Mitra1, Xiaoqiang Huang1, Jarrett Johnson1, Naureen Aslam Khattak1, Felicia Gray2, Clint Piper1, Jeff Czajka1, Logan Hansen1, Bingbing Wan3, Krishnapriya Chinnaswamy4, Liu Liu5, Mi Wang5, Jingxi Pan6, Jeanne Stuckey4, Tomasz Cierpicki2, Christoph H Borchers6, Shaomeng Wang5, Ming Lei3, Yang Zhang7.   

Abstract

One obstacle in de novo protein design is the vast sequence space that needs to be searched through to obtain functional proteins. We developed a new method using structural profiles created from evolutionarily related proteins to constrain the simulation search process, with functions specified by atomic-level ligand-protein binding interactions. The approach was applied to redesigning the BIR3 domain of the X-linked inhibitor of apoptosis protein (XIAP), whose primary function is to suppress the cell death by inhibiting caspase-9 activity; however, the function of the wild-type XIAP can be eliminated by the binding of Smac peptides. Isothermal calorimetry and luminescence assay reveal that the designed XIAP domains can bind strongly with the Smac peptides but do not significantly inhibit the caspase-9 proteolytic activity in vitro compared with the wild-type XIAP protein. Detailed mutation assay experiments suggest that the binding specificity in the designs is essentially determined by the interplay of structural profile and physical interactions, which demonstrates the potential to modify apoptosis pathways through computational design.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  XIAP; apoptosis pathway; evolutionary profile; isothermal calorimetry; protein design

Mesh:

Substances:

Year:  2019        PMID: 30625288      PMCID: PMC6876990          DOI: 10.1016/j.jmb.2018.12.016

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


  46 in total

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Authors:  David E Kim; Dylan Chivian; David Baker
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

Review 2.  Theoretical and computational protein design.

Authors:  Ilan Samish; Christopher M MacDermaid; Jose Manuel Perez-Aguilar; Jeffery G Saven
Journal:  Annu Rev Phys Chem       Date:  2011       Impact factor: 12.703

3.  Evolutionary information for specifying a protein fold.

Authors:  Michael Socolich; Steve W Lockless; William P Russ; Heather Lee; Kevin H Gardner; Rama Ranganathan
Journal:  Nature       Date:  2005-09-22       Impact factor: 49.962

4.  Subzero temperature chromatography and top-down mass spectrometry for protein higher-order structure characterization: method validation and application to therapeutic antibodies.

Authors:  Jingxi Pan; Suping Zhang; Carol E Parker; Christoph H Borchers
Journal:  J Am Chem Soc       Date:  2014-09-03       Impact factor: 15.419

5.  Position-based sequence weights.

Authors:  S Henikoff; J G Henikoff
Journal:  J Mol Biol       Date:  1994-11-04       Impact factor: 5.469

6.  Structural basis of IAP recognition by Smac/DIABLO.

Authors:  G Wu; J Chai; T L Suber; J W Wu; C Du; X Wang; Y Shi
Journal:  Nature       Date:  2000 Dec 21-28       Impact factor: 49.962

7.  The FoldX web server: an online force field.

Authors:  Joost Schymkowitz; Jesper Borg; Francois Stricher; Robby Nys; Frederic Rousseau; Luis Serrano
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

8.  An evolution-based approach to De Novo protein design and case study on Mycobacterium tuberculosis.

Authors:  Pralay Mitra; David Shultis; Jeffrey R Brender; Jeff Czajka; David Marsh; Felicia Gray; Tomasz Cierpicki; Yang Zhang
Journal:  PLoS Comput Biol       Date:  2013-10-24       Impact factor: 4.475

9.  The Phyre2 web portal for protein modeling, prediction and analysis.

Authors:  Lawrence A Kelley; Stefans Mezulis; Christopher M Yates; Mark N Wass; Michael J E Sternberg
Journal:  Nat Protoc       Date:  2015-05-07       Impact factor: 13.491

10.  EvoDesign: De novo protein design based on structural and evolutionary profiles.

Authors:  Pralay Mitra; David Shultis; Yang Zhang
Journal:  Nucleic Acids Res       Date:  2013-05-13       Impact factor: 16.971

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  6 in total

1.  FASPR: an open-source tool for fast and accurate protein side-chain packing.

Authors:  Xiaoqiang Huang; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

2.  EvoDesign: Designing Protein-Protein Binding Interactions Using Evolutionary Interface Profiles in Conjunction with an Optimized Physical Energy Function.

Authors:  Robin Pearce; Xiaoqiang Huang; Dani Setiawan; Yang Zhang
Journal:  J Mol Biol       Date:  2019-03-07       Impact factor: 5.469

3.  EvoEF2: accurate and fast energy function for computational protein design.

Authors:  Xiaoqiang Huang; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-02-15       Impact factor: 6.937

4.  SSIPe: accurately estimating protein-protein binding affinity change upon mutations using evolutionary profiles in combination with an optimized physical energy function.

Authors:  Xiaoqiang Huang; Wei Zheng; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-04-15       Impact factor: 6.937

5.  Landscape of variable domain of heavy-chain-only antibody repertoire from alpaca.

Authors:  Zhui Tu; Xiaoqiang Huang; Jinheng Fu; Na Hu; Wei Zheng; Yanping Li; Yang Zhang
Journal:  Immunology       Date:  2020-06-30       Impact factor: 7.397

6.  Ebola Virus VP35 Protein: Modeling of the Tetrameric Structure and an Analysis of Its Interaction with Human PKR.

Authors:  Anupam Banerjee; Pralay Mitra
Journal:  J Proteome Res       Date:  2020-09-18       Impact factor: 4.466

  6 in total

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