Literature DB >> 32502338

Mapping Protein-Protein Interaction Interface Peptides with Jun-Fos Assisted Phage Display and Deep Sequencing.

Wanzhi Huang, Victoria Soeung, David M Boragine, Timothy Palzkill.   

Abstract

Protein-protein interactions govern many cellular processes, and identifying binding interaction sites on proteins can facilitate the discovery of inhibitors to block such interactions. Here we identify peptides from a randomly fragmented plasmid encoding the β-lactamase inhibitory protein (BLIP) and the Lac repressor (LacI) that represent regions of protein-protein interactions. We utilized a Jun-Fos-assisted phage display system that has previously been used to screen cDNA and genomic libraries to identify antibody antigens. Affinity selection with polyclonal antibodies against LacI or BLIP resulted in the rapid enrichment of in-frame peptides from various regions of the proteins. Further, affinity selection with β-lactamase enriched peptides that encompass regions of BLIP previously shown to contribute strongly to the binding energy of the BLIP/β-lactamase interaction, i.e., hotspot residues. Further, one of the regions enriched by affinity selection encompassed a disulfide-constrained region of BLIP that forms part of the BLIP interaction surface in the native complex that we show also binds to β-lactamase as a disulfide-constrained macrocycle peptide with a KD of ∼1 μM. Fragmented open reading frame (ORF) libraries may efficiently identify such naturally constrained peptides at protein-protein interaction interfaces. With sufficiently deep coverage of ORFs by peptide-coding inserts, phage display and deep sequencing can provide detailed information on the domains or peptides that contribute to an interaction. Such information should enable the design of potentially therapeutic macrocycles or peptidomimetics that block the interaction.

Entities:  

Keywords:  Lac repressor; bZIP domain; genomic library; leucine zipper; macrocycle; peptide; phage display; protein−protein interaction; β-lactamase; β-lactamase inhibitory protein

Mesh:

Substances:

Year:  2020        PMID: 32502338      PMCID: PMC7671604          DOI: 10.1021/acssynbio.0c00242

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  58 in total

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Journal:  Protein Eng Des Sel       Date:  2008-09-30       Impact factor: 1.650

3.  Contributions of aspartate 49 and phenylalanine 142 residues of a tight binding inhibitory protein of beta-lactamases.

Authors:  J Petrosino; G Rudgers; H Gilbert; T Palzkill
Journal:  J Biol Chem       Date:  1999-01-22       Impact factor: 5.157

Review 4.  Exploring sequence space: harnessing chemical and biological diversity towards new peptide leads.

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Journal:  Curr Opin Chem Biol       Date:  2017-03-17       Impact factor: 8.822

5.  ORF phage display to identify cellular proteins with different functions.

Authors:  Wei Li
Journal:  Methods       Date:  2012-07-23       Impact factor: 3.608

Review 6.  Cloning allergens via phage display.

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Journal:  Methods       Date:  2004-03       Impact factor: 3.608

7.  Characterization of phage that bind plastic from phage-displayed random peptide libraries.

Authors:  N B Adey; A H Mataragnon; J E Rider; J M Carter; B K Kay
Journal:  Gene       Date:  1995-04-14       Impact factor: 3.688

Review 8.  Getting in shape: controlling peptide bioactivity and bioavailability using conformational constraints.

Authors:  Jonathan E Bock; Jason Gavenonis; Joshua A Kritzer
Journal:  ACS Chem Biol       Date:  2012-11-30       Impact factor: 5.100

9.  Discovery of Leptospira spp. seroreactive peptides using ORFeome phage display.

Authors:  Siti Roszilawati Ramli; Gustavo M S G Moreira; Jonas Zantow; Marga G A Goris; Van Kinh Nguyen; Natalia Novoselova; Frank Pessler; Michael Hust
Journal:  PLoS Negl Trop Dis       Date:  2019-01-24

10.  A novel helper phage enabling construction of genome-scale ORF-enriched phage display libraries.

Authors:  Amita Gupta; Nimisha Shrivastava; Payal Grover; Ajay Singh; Kapil Mathur; Vaishali Verma; Charanpreet Kaur; Vijay K Chaudhary
Journal:  PLoS One       Date:  2013-09-27       Impact factor: 3.240

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  2 in total

1.  Deep Sequencing of a Systematic Peptide Library Reveals Conformationally-Constrained Protein Interface Peptides that Disrupt a Protein-Protein Interaction.

Authors:  David M Boragine; Wanzhi Huang; Lynn H Su; Timothy Palzkill
Journal:  Chembiochem       Date:  2021-12-07       Impact factor: 3.164

2.  High-Resolution Mapping of Human Norovirus Antigens via Genomic Phage Display Library Selections and Deep Sequencing.

Authors:  Wanzhi Huang; Victoria Soeung; David M Boragine; Liya Hu; B V Venkataram Prasad; Mary K Estes; Robert L Atmar; Timothy Palzkill
Journal:  J Virol       Date:  2020-12-09       Impact factor: 5.103

  2 in total

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