Literature DB >> 32050068

Quantitative Characterization of Binding Pockets and Binding Complementarity by Means of Zernike Descriptors.

Lorenzo Di Rienzo1, Edoardo Milanetti1,2, Josephine Alba3, Marco D'Abramo3.   

Abstract

In this work, we describe the application of the Zernike formalism to quantitatively characterize the binding pockets of two sets of biologically relevant systems. Such an approach, when applied to molecular dynamics trajectories, is able to pinpoint the subtle differences between very similar molecular regions and their impact on the local propensity to ligand binding, allowing us to quantify such differences. The statistical robustness of our procedure suggests that it is very suitable to describe protein binding sites and protein-ligand interactions within a rigorous and well-defined framework.

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Year:  2020        PMID: 32050068      PMCID: PMC7997106          DOI: 10.1021/acs.jcim.9b01066

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  47 in total

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2.  Pocketome via comprehensive identification and classification of ligand binding envelopes.

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Review 3.  Structure and regulation of Src family kinases.

Authors:  Titus J Boggon; Michael J Eck
Journal:  Oncogene       Date:  2004-10-18       Impact factor: 9.867

4.  Pocket extraction on proteins via the Voronoi diagram of spheres.

Authors:  Donguk Kim; Cheol-Hyung Cho; Youngsong Cho; Joonghyun Ryu; Jonghwa Bhak; Deok-Soo Kim
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5.  The application of 3D Zernike moments for the description of "model-free" molecular structure, functional motion, and structural reliability.

Authors:  Scott Grandison; Carl Roberts; Richard J Morris
Journal:  J Comput Biol       Date:  2009-03       Impact factor: 1.479

6.  Efficient and Accurate Modeling of Conformational Transitions in Proteins: The Case of c-Src Kinase.

Authors:  Edoardo Milanetti; Alexandra G Trandafir; Josephine Alba; Domenico Raimondo; Marco D'Abramo
Journal:  J Phys Chem B       Date:  2018-09-17       Impact factor: 2.991

7.  Multi-LZerD: multiple protein docking for asymmetric complexes.

Authors:  Juan Esquivel-Rodríguez; Yifeng David Yang; Daisuke Kihara
Journal:  Proteins       Date:  2012-05-08

8.  Comparison of clinical features in HLA-B27 positive and negative patients with ankylosing spondylitis.

Authors:  M A Khan; I Kushner; W E Braun
Journal:  Arthritis Rheum       Date:  1977-05

9.  Superposition-free comparison and clustering of antibody binding sites: implications for the prediction of the nature of their antigen.

Authors:  Lorenzo Di Rienzo; Edoardo Milanetti; Rosalba Lepore; Pier Paolo Olimpieri; Anna Tramontano
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

10.  Exploring Protein Cavities through Rigidity Analysis.

Authors:  Stephanie Mason; Brian Y Chen; Filip Jagodzinski
Journal:  Molecules       Date:  2018-02-07       Impact factor: 4.411

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  7 in total

1.  Shape Complementarity Optimization of Antibody-Antigen Interfaces: The Application to SARS-CoV-2 Spike Protein.

Authors:  Alfredo De Lauro; Lorenzo Di Rienzo; Mattia Miotto; Pier Paolo Olimpieri; Edoardo Milanetti; Giancarlo Ruocco
Journal:  Front Mol Biosci       Date:  2022-05-20

2.  Insights into the Interaction Mechanism of DTP3 with MKK7 by Using STD-NMR and Computational Approaches.

Authors:  Annamaria Sandomenico; Lorenzo Di Rienzo; Luisa Calvanese; Emanuela Iaccarino; Gabriella D'Auria; Lucia Falcigno; Angela Chambery; Rosita Russo; Guido Franzoso; Laura Tornatore; Marco D'Abramo; Menotti Ruvo; Edoardo Milanetti; Domenico Raimondo
Journal:  Biomedicines       Date:  2020-12-30

3.  Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor.

Authors:  Mattia Miotto; Lorenzo Di Rienzo; Giorgio Gosti; Leonardo Bo'; Giacomo Parisi; Roberta Piacentini; Alberto Boffi; Giancarlo Ruocco; Edoardo Milanetti
Journal:  Commun Biol       Date:  2022-01-06

4.  Binding site identification of G protein-coupled receptors through a 3D Zernike polynomials-based method: application to C. elegans olfactory receptors.

Authors:  Lorenzo Di Rienzo; Luca De Flaviis; Giancarlo Ruocco; Viola Folli; Edoardo Milanetti
Journal:  J Comput Aided Mol Des       Date:  2022-01-01       Impact factor: 3.686

5.  A novel computational strategy for defining the minimal protein molecular surface representation.

Authors:  Greta Grassmann; Mattia Miotto; Lorenzo Di Rienzo; Giorgio Gosti; Giancarlo Ruocco; Edoardo Milanetti
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.240

6.  In-Silico Evidence for a Two Receptor Based Strategy of SARS-CoV-2.

Authors:  Edoardo Milanetti; Mattia Miotto; Lorenzo Di Rienzo; Madhu Nagaraj; Michele Monti; Thaddeus W Golbek; Giorgio Gosti; Steven J Roeters; Tobias Weidner; Daniel E Otzen; Giancarlo Ruocco
Journal:  Front Mol Biosci       Date:  2021-06-09

7.  Molecular Dynamics Simulations Reveal Canonical Conformations in Different pMHC/TCR Interactions.

Authors:  Josephine Alba; Lorenzo Di Rienzo; Edoardo Milanetti; Oreste Acuto; Marco D'Abramo
Journal:  Cells       Date:  2020-04-10       Impact factor: 6.600

  7 in total

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