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  2. Matching Content Categories
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  6. Keywords
  7. Topics
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We are analyzing https://link.springer.com/article/10.1186/1471-2164-9-s1-s1.

Title:
Flexible nets: disorder and induced fit in the associations of p53 and 14-3-3 with their partners | BMC Genomics
Description:
Background Proteins are involved in many interactions with other proteins leading to networks that regulate and control a wide variety of physiological processes. Some of these proteins, called hub proteins or hubs, bind to many different protein partners. Protein intrinsic disorder, via diversity arising from structural plasticity or flexibility, provide a means for hubs to associate with many partners (Dunker AK, Cortese MS, Romero P, Iakoucheva LM, Uversky VN: Flexible Nets: The roles of intrinsic disorder in protein interaction networks. FEBS J 2005, 272:5129-5148). Results Here we present a detailed examination of two divergent examples: 1) p53, which uses different disordered regions to bind to different partners and which also has several individual disordered regions that each bind to multiple partners, and 2) 14-3-3, which is a structured protein that associates with many different intrinsically disordered partners. For both examples, three-dimensional structures of multiple complexes reveal that the flexibility and plasticity of intrinsically disordered protein regions as well as induced-fit changes in the structured regions are both important for binding diversity. Conclusions These data support the conjecture that hub proteins often utilize intrinsic disorder to bind to multiple partners and provide detailed information about induced fit in structured regions.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {๐Ÿ“š}

  • Education
  • Books & Literature
  • Science

Content Management System {๐Ÿ“}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {๐Ÿ“ˆ}

What is the average monthly size of link.springer.com audience?

๐ŸŒ  Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {๐Ÿ’ธ}

We see no obvious way the site makes money.

While many websites aim to make money, others are created to share knowledge or showcase creativity. People build websites for various reasons. This could be one of them. Link.springer.com might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {๐Ÿ”}

pubmed, google, scholar, binding, protein, proteins, partners, disordered, regions, disorder, interactions, residues, structure, multiple, figure, structures, domain, region, interaction, complexes, peptide, central, bound, side, biol, intrinsic, sequence, dunker, analysis, structured, chain, structural, peptides, networks, partner, sites, bind, complex, backbone, rmsf, cell, uversky, recognition, mol, molecular, dbd, hub, proteinprotein, conformational, differences,

Topics {โœ’๏ธ}

bovine immunodeficiency viruses grants r01 lm007688-01a1 open access article forming protein-protein complexes double nma-nia plot exhibit scale-free architecture ball--rapid software prototyping scale-free network architecture single-stranded dna mimicry serotonin n-acetyltransferase complex rna degradosome-organizing domain separate nma-nia plots c-terminal regulatory domain x-ray characterized n nma-nia plot approach pondr vl-xt detects pondrยฎ vl-xt integrates 4-panel induced-fit profile scale-free network topology induced-fit profiles exhibit protein-protein interaction network article download pdf related subjects fragment-based drug discovery methods pondrs vl-xt c-terminal domain interacts protein-protein interaction sites protein-protein recognition sites single c-terminal domain jembrana disease virus interaction profile-structure pairs protein-protein interaction networks c-terminal tetramerization domain disorder-dependent molecular recognition metal-binding protein s100b phage display-derived peptide eukaryotic protein-interaction networks ligand binding bovine serum albumin human dna-repair enzyme protein-protein interactions based c-terminal end participate protein-protein complexes involving large-scale data sets annu rev microbiol general order/disorder tendencies 14-3-3ฮถ-peptide interaction profiles induced-fit movements privacy choices/manage cookies serotonin n-acetyltransferase

Questions {โ“}

  • Ekman D, Light S, Bjorklund AK, Elofsson A: What properties characterize the hub proteins of the protein-protein interaction network of Saccharomyces cerevisiae?
  • Hohenstein P, Giles RH: BRCA1: a scaffold for p53 response?
  • Huang S: Back to the biology in systems biology, what can we learn from biomolecular networks?
  • What if a region used to bind to multiple partners uses different secondary structures and different amino acids?
  • Why would nature use one mechanism rather than the other for a particular biological role?
  • Yaffe MB: How do 14-3-3 proteins work?
  • Com/1471-2164/9?

Schema {๐Ÿ—บ๏ธ}

WebPage:
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         headline:Flexible nets: disorder and induced fit in the associations of p53 and 14-3-3 with their partners
         description:Proteins are involved in many interactions with other proteins leading to networks that regulate and control a wide variety of physiological processes. Some of these proteins, called hub proteins or hubs, bind to many different protein partners. Protein intrinsic disorder, via diversity arising from structural plasticity or flexibility, provide a means for hubs to associate with many partners (Dunker AK, Cortese MS, Romero P, Iakoucheva LM, Uversky VN: Flexible Nets: The roles of intrinsic disorder in protein interaction networks. FEBS J 2005, 272:5129-5148). Here we present a detailed examination of two divergent examples: 1) p53, which uses different disordered regions to bind to different partners and which also has several individual disordered regions that each bind to multiple partners, and 2) 14-3-3, which is a structured protein that associates with many different intrinsically disordered partners. For both examples, three-dimensional structures of multiple complexes reveal that the flexibility and plasticity of intrinsically disordered protein regions as well as induced-fit changes in the structured regions are both important for binding diversity. These data support the conjecture that hub proteins often utilize intrinsic disorder to bind to multiple partners and provide detailed information about induced fit in structured regions.
         datePublished:2008-03-20T00:00:00Z
         dateModified:2008-03-20T00:00:00Z
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            Root Mean Square Fluctuation
            Intrinsic Disorder
            Bovine Immunodeficiency Virus
            Side Chain Conformation
            Life Sciences
            general
            Microarrays
            Proteomics
            Animal Genetics and Genomics
            Microbial Genetics and Genomics
            Plant Genetics and Genomics
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      headline:Flexible nets: disorder and induced fit in the associations of p53 and 14-3-3 with their partners
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      dateModified:2008-03-20T00:00:00Z
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         Root Mean Square Fluctuation
         Intrinsic Disorder
         Bovine Immunodeficiency Virus
         Side Chain Conformation
         Life Sciences
         general
         Microarrays
         Proteomics
         Animal Genetics and Genomics
         Microbial Genetics and Genomics
         Plant Genetics and Genomics
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                     type:PostalAddress
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            name:Indiana University Schools of Medicine and Informatics
            address:
               name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
               type:PostalAddress
            type:Organization
      name:Mary Qu Yang
      affiliation:
            name:Indiana University Schools of Medicine and Informatics
            address:
               name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
               type:PostalAddress
            type:Organization
      name:Vladimir N Uversky
      affiliation:
            name:Indiana University Schools of Medicine and Informatics
            address:
               name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
               type:PostalAddress
            type:Organization
            name:Russian Academy of Sciences
            address:
               name:Institute for Biological Instrumentation, Russian Academy of Sciences, Pushchino, Russia
               type:PostalAddress
            type:Organization
      name:A Keith Dunker
      affiliation:
            name:Indiana University Schools of Medicine and Informatics
            address:
               name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
      name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
      name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
      name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
      name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA
      name:Institute for Biological Instrumentation, Russian Academy of Sciences, Pushchino, Russia
      name:Center for Computational Biology and Bioinformatics, Indiana University Schools of Medicine and Informatics, Indianapolis, USA

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