Literature DB >> 35227887

Bridging informatics and medicinal inorganic chemistry: Toward a database of metallodrugs and metallodrug candidates.

José L Medina-Franco1, Edgar López-López2, Emma Andrade3, Lena Ruiz-Azuara4, Angelo Frei5, Davy Guan6, Johannes Zuegg6, Mark A T Blaskovich6.   

Abstract

Metallodrug discovery has evolved in recent years, yielding several compounds in the clinic for therapeutic and medical imaging diagnostic applications. As reviewed here, several research groups in well-established medicinal inorganic chemistry groups are consistently generating high-quality SAR data representing an ideal starting point in the use of computational methods to advance the development of new drugs. Although there are representative chemical structures of metallodrugs in public databases annotated with biological activity, there is currently no public compound database dedicated to metallodrugs. Here, we also discuss the significance, viability, applications and challenges of developing a public compound database of metallodrugs - with consistent representation of metallodrug structure being a crucial obstacle. A curated metallo-compound database would substantially benefit metallodrug discovery and development.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemical space; Chemoinformatics; Compound databases; Medicinal inorganic chemistry; Metal-based compound; Metallodrugs; Structure–activity relationships

Mesh:

Year:  2022        PMID: 35227887     DOI: 10.1016/j.drudis.2022.02.021

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  1 in total

Review 1.  Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications.

Authors:  Claudia Andreini; Antonio Rosato
Journal:  Int J Mol Sci       Date:  2022-07-12       Impact factor: 6.208

  1 in total

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