Literature DB >> 33874825

Frontiers of metal-coordinating drug design.

Giulia Palermo1, Angelo Spinello2, Aakash Saha3, Alessandra Magistrato2.   

Abstract

Introduction: The occurrence of metal ions in biomolecules is required to exert vital cellular functions. Metal-containing biomolecules can be modulated by small-molecule inhibitors targeting their metal-moiety. As well, the discovery of cisplatin ushered the rational discovery of metal-containing-drugs. The use of both drug types exploiting metal-ligand interactions is well established to treat distinct pathologies. Therefore, characterizing and leveraging metal-coordinating drugs is a pivotal, yet challenging, part of medicinal chemistry.Area covered: Atomic-level simulations are increasingly employed to overcome the challenges met by traditional drug-discovery approaches and to complement wet-lab experiments in elucidating the mechanisms of drugs' action. Multiscale simulations, allow deciphering the mechanism of metal-binding inhibitors and metallo-containing-drugs, enabling a reliable description of metal-complexes in their biological environment. In this compendium, the authors review selected applications exploiting the metal-ligand interactions by focusing on understanding the mechanism and design of (i) inhibitors targeting iron and zinc-enzymes, and (ii) ruthenium and gold-based anticancer agents targeting the nucleosome and aquaporin protein, respectively.Expert opinion: The showcased applications exemplify the current role and the potential of atomic-level simulations and reveal how their synergic use with experiments can contribute to uncover fundamental mechanistic facets and exploit metal-ligand interactions in medicinal chemistry.

Entities:  

Keywords:  CYP450; Metallodrug; QM/MM; RAPTA; aromatase; breast cancer; metal-binding inhibitors; metallo-beta-lacatamases; molecular dynamics; prostate cancer; ruthenium drug

Year:  2020        PMID: 33874825     DOI: 10.1080/17460441.2021.1851188

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  4 in total

1.  Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer.

Authors:  Yeye Fan; Chunyu Kao; Fu Yang; Fei Wang; Gengshen Yin; Yongjiu Wang; Yong He; Jiadong Ji; Liyuan Liu
Journal:  Front Oncol       Date:  2022-06-10       Impact factor: 5.738

2.  Nep1-like proteins as a target for plant pathogen control.

Authors:  Katja Pirc; Vesna Hodnik; Tina Snoj; Tea Lenarčič; Simon Caserman; Marjetka Podobnik; Hannah Böhm; Isabell Albert; Anita Kotar; Janez Plavec; Jure Borišek; Martina Damuzzo; Alessandra Magistrato; Boris Brus; Izidor Sosič; Stanislav Gobec; Thorsten Nürnberger; Gregor Anderluh
Journal:  PLoS Pathog       Date:  2021-04-15       Impact factor: 6.823

3.  QM/MM Energy Decomposition Using the Interacting Quantum Atoms Approach.

Authors:  Roberto López; Natalia Díaz; Evelio Francisco; Angel Martín-Pendás; Dimas Suárez
Journal:  J Chem Inf Model       Date:  2022-02-25       Impact factor: 4.956

Review 4.  Computational Studies of Au(I) and Au(III) Anticancer MetalLodrugs: A Survey.

Authors:  Iogann Tolbatov; Alessandro Marrone; Cecilia Coletti; Nazzareno Re
Journal:  Molecules       Date:  2021-12-15       Impact factor: 4.411

  4 in total

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