Literature DB >> 16635984

A high efficiency strategy for binding property characterization of peptide-binding domains.

Eli Song1, Shijuan Gao, Rui Tian, Sucan Ma, Haiming Huang, Jiayan Guo, Yingna Li, Ling Zhang, Youhe Gao.   

Abstract

A large proportion of protein-protein interactions is mediated by families of peptide-binding domains. Comprehensive characterization of each of these domains is critical for understanding the mechanisms and networks of protein interaction at the domain level. However, existing methods are all based on large scale screenings for each domain that are inefficient to deal with hundreds of members in major domain families. We developed a systematic strategy for efficient binding property characterization of peptide-binding domains based on high throughput validation screening of a specialized candidate ligand library using yeast two-hybrid mating array. Its outstanding feature is that the overall efficiency is dramatically improved compared with that of traditional screening, and it will be higher as the system cycles. PDZ domain family was first used to test the strategy. Five PDZ domains were rapidly characterized. Broader binding properties were identified compared with other methods, including novel recognition specificities that provided the basis for major revision of conventional PDZ classification. Several novel interactions were discovered, serving as significant clues for further functional investigation. This strategy can be easily extended to a variety of peptide-binding domains as a powerful tool for comprehensive analysis of domain binding property in proteomic scale.

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Year:  2006        PMID: 16635984     DOI: 10.1074/mcp.M600072-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  16 in total

1.  PDZ domain binding selectivity is optimized across the mouse proteome.

Authors:  Michael A Stiffler; Jiunn R Chen; Viara P Grantcharova; Ying Lei; Daniel Fuchs; John E Allen; Lioudmila A Zaslavskaia; Gavin MacBeath
Journal:  Science       Date:  2007-07-20       Impact factor: 47.728

Review 2.  High-throughput analysis of peptide-binding modules.

Authors:  Bernard A Liu; Brett W Engelmann; Piers D Nash
Journal:  Proteomics       Date:  2012-05       Impact factor: 3.984

3.  MotifAnalyzer-PDZ: A computational program to investigate the evolution of PDZ-binding target specificity.

Authors:  Jordan Valgardson; Robin Cosbey; Paul Houser; Milo Rupp; Raiden Van Bronkhorst; Michael Lee; Filip Jagodzinski; Jeanine F Amacher
Journal:  Protein Sci       Date:  2019-11-01       Impact factor: 6.725

4.  PDZ domains and their binding partners: structure, specificity, and modification.

Authors:  Ho-Jin Lee; Jie J Zheng
Journal:  Cell Commun Signal       Date:  2010-05-28       Impact factor: 5.712

5.  Interaction prediction and classification of PDZ domains.

Authors:  Sibel Kalyoncu; Ozlem Keskin; Attila Gursoy
Journal:  BMC Bioinformatics       Date:  2010-06-30       Impact factor: 3.169

6.  Identification of tripeptides recognized by the PDZ domain of Dishevelled.

Authors:  Ho-Jin Lee; Nick X Wang; Youming Shao; Jie J Zheng
Journal:  Bioorg Med Chem       Date:  2009-01-03       Impact factor: 3.641

7.  Direct association of connexin36 with zonula occludens-2 and zonula occludens-3.

Authors:  Xinbo Li; Shijun Lu; James I Nagy
Journal:  Neurochem Int       Date:  2009 May-Jun       Impact factor: 3.921

8.  Molecular characterization and ligand binding specificity of the PDZ domain-containing protein GIPC3 from Schistosoma japonicum.

Authors:  Yi Mu; Haiming Huang; Shuai Liu; Pengfei Cai; Youhe Gao
Journal:  Parasit Vectors       Date:  2012-10-10       Impact factor: 3.876

9.  A genome-wide study of PDZ-domain interactions in C. elegans reveals a high frequency of non-canonical binding.

Authors:  Nicolas Lenfant; Jolanta Polanowska; Sophie Bamps; Shizue Omi; Jean-Paul Borg; Jérôme Reboul
Journal:  BMC Genomics       Date:  2010-11-26       Impact factor: 3.969

10.  Novel nonphosphorylated peptides with conserved sequences selectively bind to Grb7 SH2 domain with affinity comparable to its phosphorylated ligand.

Authors:  Dan Zhang; Chen Shao; Siqi Hu; Sucan Ma; Youhe Gao
Journal:  PLoS One       Date:  2012-01-11       Impact factor: 3.240

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