Literature DB >> 30108981

An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.

Ugo Perricone1, Maria Rita Gulotta1,2, Jessica Lombino1,2, Barbara Parrino2, Stella Cascioferro2, Patrizia Diana2, Girolamo Cirrincione2, Alessandro Padova1.   

Abstract

Molecular dynamics (MD) has become increasingly popular due to the development of hardware and software solutions and the improvement in algorithms, which allowed researchers to scale up calculations in order to speed them up. MD simulations are usually used to address protein folding issues or protein-ligand complex stability through energy profile analysis over time. In recent years, the development of new tools able to deeply explore a potential energy surface (PES) has allowed researchers to focus on the dynamic nature of the binding recognition process and binding-induced protein conformational changes. Moreover, modern approaches have been demonstrated to be effective and reliable in calculating some kinetic and thermodynamic parameters behind the host-guest recognition process. Starting from all of these considerations, several efforts have been made in order to integrate MD within the virtual screening process in drug discovery. Knowledge retrieved from MD can, in fact, be exploited as a starting point to build pharmacophores or docking constraints in the early stage of the screening campaign as well as to define key features, in order to unravel hidden binding modes and help the optimisation of the molecular structure of a lead compound. Based on these outcomes, researchers are nowadays using MD as an invaluable tool to discover and target previously considered undruggable binding sites, including protein-protein interactions and allosteric sites on a protein surface. As a matter of fact, the use of MD has been recognised as vital to the discovery of selective protein-protein interaction modulators. The use of a dynamic overview on how the host-guest recognition occurs and of the relative conformational modifications induced allows researchers to optimise small molecules and small peptides capable of tightly interacting within the cleft between two proteins. In this review, we aim to present the most recent applications of MD as an integrated tool to be used in the rational design of small molecules or small peptides able to modulate undruggable targets, such as allosteric sites and protein-protein interactions.

Year:  2018        PMID: 30108981      PMCID: PMC6072422          DOI: 10.1039/c8md00166a

Source DB:  PubMed          Journal:  Medchemcomm        ISSN: 2040-2503            Impact factor:   3.597


  144 in total

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Authors:  Marie C M Halliez; André G Buret
Journal:  World J Gastroenterol       Date:  2013-12-21       Impact factor: 5.742

Review 9.  Alternative modulation of protein-protein interactions by small molecules.

Authors:  Gerhard Fischer; Maxim Rossmann; Marko Hyvönen
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10.  Comparing pharmacophore models derived from crystal structures and from molecular dynamics simulations.

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Journal:  Monatsh Chem       Date:  2016-02-22       Impact factor: 1.451

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  8 in total

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Journal:  Int J Mol Sci       Date:  2019-10-09       Impact factor: 5.923

Review 2.  Mimicking Strategy for Protein-Protein Interaction Inhibitor Discovery by Virtual Screening.

Authors:  Ke-Jia Wu; Pui-Man Lei; Hao Liu; Chun Wu; Chung-Hang Leung; Dik-Lung Ma
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3.  Exploring Molecular Contacts of MUC1 at CIN85 Binding Interface to Address Future Drug Design Efforts.

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Review 4.  Natural and Synthetic Halogenated Amino Acids-Structural and Bioactive Features in Antimicrobial Peptides and Peptidomimetics.

Authors:  Mario Mardirossian; Marina Rubini; Mauro F A Adamo; Marco Scocchi; Michele Saviano; Alessandro Tossi; Renato Gennaro; Andrea Caporale
Journal:  Molecules       Date:  2021-12-06       Impact factor: 4.411

5.  A Rational Design of α-Helix-Shaped Peptides Employing the Hydrogen-Bond Surrogate Approach: A Modulation Strategy for Ras-RasGRF1 Interaction in Neuropsychiatric Disorders.

Authors:  Maria Rita Gulotta; Riccardo Brambilla; Ugo Perricone; Andrea Brancale
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6.  Procyanidin C1 Location, Interaction, and Aggregation in Two Complex Biomembranes.

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Journal:  Membranes (Basel)       Date:  2022-07-05

7.  Targeting SARS-CoV-2 RBD Interface: a Supervised Computational Data-Driven Approach to Identify Potential Modulators.

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Journal:  ChemMedChem       Date:  2020-09-04       Impact factor: 3.540

8.  A Computer-Based Methodology to Design Non-Standard Peptides Potentially Able to Prevent HOX-PBX1-Associated Cancer Diseases.

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  8 in total

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