Literature DB >> 33315215

Disclosing Allostery Through Protein Contact Networks.

Luisa Di Paola1, Giampiero Mei2, Almerinda Di Venere2, Alessandro Giuliani3.   

Abstract

Proteins are located in the twilight zone between chemistry and biology, where a peculiar kind of complexity starts. Proteins are the smallest 'devices' showing a sensible adaptation to their environment by the production of appropriate behavior when facing a specific stimulus. This fact qualifies (from the 'effector' side) proteins as nanomachines working as catalysts, motors, or switches. However (from the sensor side), the need to single out the 'specific stimulus' out of thermal noise qualifies proteins as information processing devices. Allostery corresponds to the modification of the configuration (in a broad sense) of the protein molecule in response to a specific stimulus in a non-strictly local way, thereby connecting the sensor and effector sides of the nanomachine. This is why the 'disclosing' of allostery phenomenon is at the very heart of protein function; in this chapter, we will demonstrate how a network-based representation of protein structure in terms of nodes (aminoacid residues) and edges (effective contacts between residues) is the natural language for getting rid of allosteric phenomena and, more in general, of protein structure/function relationships.

Entities:  

Keywords:  Network descriptors; Protein contact networks; Spectral clustering

Mesh:

Substances:

Year:  2021        PMID: 33315215     DOI: 10.1007/978-1-0716-1154-8_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  13 in total

1.  Shedding light on protein-ligand binding by graph theory: the topological nature of allostery.

Authors:  Micol De Ruvo; Alessandro Giuliani; Paola Paci; Daniele Santoni; Luisa Di Paola
Journal:  Biophys Chem       Date:  2012-03-12       Impact factor: 2.352

2.  Network analysis of protein structures identifies functional residues.

Authors:  Gil Amitai; Arye Shemesh; Einat Sitbon; Maxim Shklar; Dvir Netanely; Ilya Venger; Shmuel Pietrokovski
Journal:  J Mol Biol       Date:  2004-12-03       Impact factor: 5.469

3.  Exploring the stability of dimers through protein structure topology.

Authors:  Luisa Di Paola; Giampiero Mei; Almerinda Di Venere; Alessandro Giuliani
Journal:  Curr Protein Pept Sci       Date:  2016       Impact factor: 3.272

4.  Modules identification in protein structures: the topological and geometrical solutions.

Authors:  Setareh Tasdighian; Luisa Di Paola; Micol De Ruvo; Paola Paci; Daniele Santoni; Pasquale Palumbo; Giampiero Mei; Almerinda Di Venere; Alessandro Giuliani
Journal:  J Chem Inf Model       Date:  2013-12-13       Impact factor: 4.956

Review 5.  Protein contact network topology: a natural language for allostery.

Authors:  Luisa Di Paola; Alessandro Giuliani
Journal:  Curr Opin Struct Biol       Date:  2015-03-18       Impact factor: 6.809

Review 6.  Protein contact networks: an emerging paradigm in chemistry.

Authors:  L Di Paola; M De Ruvo; P Paci; D Santoni; A Giuliani
Journal:  Chem Rev       Date:  2012-11-27       Impact factor: 60.622

7.  The centrality of a graph.

Authors:  G Sabidussi
Journal:  Psychometrika       Date:  1966-12       Impact factor: 2.500

8.  GIANT: a cytoscape plugin for modular networks.

Authors:  Fabio Cumbo; Paola Paci; Daniele Santoni; Luisa Di Paola; Alessandro Giuliani
Journal:  PLoS One       Date:  2014-10-02       Impact factor: 3.240

9.  Comparative Study of Elastic Network Model and Protein Contact Network for Protein Complexes: The Hemoglobin Case.

Authors:  Guang Hu; Luisa Di Paola; Zhongjie Liang; Alessandro Giuliani
Journal:  Biomed Res Int       Date:  2017-01-22       Impact factor: 3.411

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  4 in total

1.  Biophysical Insight into the SARS-CoV2 Spike-ACE2 Interaction and Its Modulation by Hepcidin through a Multifaceted Computational Approach.

Authors:  Hamid Hadi-Alijanvand; Luisa Di Paola; Guang Hu; David M Leitner; Gennady M Verkhivker; Peixin Sun; Humanath Poudel; Alessandro Giuliani
Journal:  ACS Omega       Date:  2022-05-10

2.  Polymorphism on human aromatase affects protein dynamics and substrate binding: spectroscopic evidence.

Authors:  Giovanna Di Nardo; Almerinda Di Venere; Chao Zhang; Eleonora Nicolai; Silvia Castrignanò; Luisa Di Paola; Gianfranco Gilardi; Giampiero Mei
Journal:  Biol Direct       Date:  2021-04-26       Impact factor: 4.540

3.  A Statistical Journey through the Topological Determinants of the β2 Adrenergic Receptor Dynamics.

Authors:  Luisa Di Paola; Humanath Poudel; Mauro Parise; Alessandro Giuliani; David M Leitner
Journal:  Entropy (Basel)       Date:  2022-07-19       Impact factor: 2.738

4.  The Odd Faces of Oligomers: The Case of TRAF2-C, A Trimeric C-Terminal Domain of TNF Receptor-Associated Factor.

Authors:  Almerinda Di Venere; Eleonora Nicolai; Velia Minicozzi; Anna Maria Caccuri; Luisa Di Paola; Giampiero Mei
Journal:  Int J Mol Sci       Date:  2021-05-30       Impact factor: 5.923

  4 in total

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