Literature DB >> 23791741

Atom depth analysis delineates mechanisms of protein intermolecular interactions.

Davide Alocci1, Andrea Bernini, Neri Niccolai.   

Abstract

The systematic analysis of amino acid distribution, performed inside a large set of resolved protein structures, sheds light on possible mechanisms driving non random protein-protein approaches. Protein Data Bank entries have been selected using as filters a series of restrictions ensuring that the shape of protein surface is not modified by interactions with large or small ligands. 3D atom depth has been evaluated for all the atoms of the 2,410 selected structures. The amino acid relative population in each of the structural layers formed by grouping atoms on the basis of their calculated depths, has been evaluated. We have identified seven structural layers, the inner ones reproducing the core of proteins and the outer one incorporating their most protruding moieties. Quantitative analysis of amino acid contents of structural layers identified, as expected, different behaviors. Atoms of Q, R, K, N, D residues are increasingly more abundant in going from core to surfaces. An opposite trend is observed for V, I, L, A, C, and G. An intermediate behavior is exhibited by P, S, T, M, W, H, F and Y. The outer structural layer hosts predominantly E and K residues whose charged moieties, protruding from outer regions of the protein surface, reorient free from steric hindrances, determining specific electrodynamics maps. This feature may represent a protein signature for long distance effects, driving the formation of encounter complexes and the eventual short distance approaches that are required for protein-protein functional interactions.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  3D atom depth; Protein surface charge; Protein–protein interactions; Protein–protein network; Structural layers

Mesh:

Substances:

Year:  2013        PMID: 23791741     DOI: 10.1016/j.bbrc.2013.06.024

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  3 in total

Review 1.  The brain as a "hyper-network": the key role of neural networks as main producers of the integrated brain actions especially via the "broadcasted" neuroconnectomics.

Authors:  Luigi F Agnati; Manuela Marcoli; Guido Maura; Amina Woods; Diego Guidolin
Journal:  J Neural Transm (Vienna)       Date:  2018-02-09       Impact factor: 3.575

2.  Dynamic allostery in substrate binding by human thymidylate synthase.

Authors:  Jeffrey P Bonin; Paul J Sapienza; Andrew L Lee
Journal:  Elife       Date:  2022-10-06       Impact factor: 8.713

3.  On Nature's Strategy for Assigning Genetic Code Multiplicity.

Authors:  Simone Gardini; Sara Cheli; Silvia Baroni; Gabriele Di Lascio; Guido Mangiavacchi; Nicholas Micheletti; Carmen Luigia Monaco; Lorenzo Savini; Davide Alocci; Stefano Mangani; Neri Niccolai
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.