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PFAS-Biomolecule Interactions: Case Study Using Asclepios Nodes and Automated Workflows in KNIME for Drug Discovery and Toxicology.
Papavasileiou, Konstantinos D; Tsoumanis, Andreas C; Lagarias, Panagiotis I; Kolokathis, Panagiotis D; Koutroumpa, Nikoletta-Maria; Melagraki, Georgia; Afantitis, Antreas.
Affiliation
  • Papavasileiou KD; Department of ChemoInformatics, NovaMechanics Ltd., Nicosia, Cyprus.
  • Tsoumanis AC; Department of ChemoInformatics, NovaMechanics MIKE., Piraeus, Greece.
  • Lagarias PI; Division of Data Driven Innovation, Entelos Institute, Larnaca, Cyprus.
  • Kolokathis PD; Department of ChemoInformatics, NovaMechanics Ltd., Nicosia, Cyprus.
  • Koutroumpa NM; Department of ChemoInformatics, NovaMechanics MIKE., Piraeus, Greece.
  • Melagraki G; Division of Data Driven Innovation, Entelos Institute, Larnaca, Cyprus.
  • Afantitis A; Department of ChemoInformatics, NovaMechanics MIKE., Piraeus, Greece.
Methods Mol Biol ; 2834: 393-441, 2025.
Article de En | MEDLINE | ID: mdl-39312176
ABSTRACT
The Asclepios suite of KNIME nodes represents an innovative solution for conducting cheminformatics and computational chemistry tasks, specifically tailored for applications in drug discovery and computational toxicology. This suite has been developed using open-source and publicly accessible software. In this chapter, we introduce and explore the Asclepios suite through the lens of a case study. This case study revolves around investigating the interactions between per- and polyfluorinated alkyl substances (PFAS) and biomolecules, such as nuclear receptors. The objective is to characterize the potential toxicity of PFAS and gain insights into their chemical mode of action at the molecular level. The Asclepios KNIME nodes have been designed as versatile tools capable of addressing a wide range of computational toxicology challenges. Furthermore, they can be adapted and customized to accomodate the specific needs of individual users, spanning various domains such as nanoinformatics, biomedical research, and other related applications. This chapter provides an in-depth examination of the technical underpinnings and foundations of these tools. It is accompanied by a practical case study that demonstrates the utilization of Asclepios nodes in a computational toxicology investigation. This showcases the extendable functionalities that can be applied in diverse computational chemistry contexts. By the end of this chapter, we aim for readers to have a comprehensive understanding of the effectiveness of the Asclepios node functions. These functions hold significant potential for enhancing a wide spectrum of cheminformatics applications.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Logiciel / Découverte de médicament / Flux de travaux Limites: Humans Langue: En Journal: Methods Mol Biol Sujet du journal: BIOLOGIA MOLECULAR Année: 2025 Type de document: Article Pays d'affiliation: Chypre Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Logiciel / Découverte de médicament / Flux de travaux Limites: Humans Langue: En Journal: Methods Mol Biol Sujet du journal: BIOLOGIA MOLECULAR Année: 2025 Type de document: Article Pays d'affiliation: Chypre Pays de publication: États-Unis d'Amérique