Pharmacological Systems — Relational Framework and Validation Package

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Authors: Anna Beáta Markó
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Abstract

This record provides the pharmacological appendix of the MAB–ST (Markó–Anna–Beáta Set-Theoretic) framework, together with application-relevant validation materials for pharmacological and drug development systems.The purpose of this package is to demonstrate how the relational MAB–ST framework can be interpreted and applied in pharmacological contexts, without making empirical or therapeutic claims. Important – Read Before UseInterpretation and application of the materials in this record require consultation of the document Interpretative Boundaries and Critical Clarifications, which defines the valid scope of interpretation, usage constraints, and non-admissible readings of the MAB–ST framework.Any application or interpretation that ignores these boundaries is considered incomplete and non-compliant with the intended use of the framework. Core Framework (Main Document)The formal core (“Gerinc”) of the MAB–ST framework is available under the following DOI: MAB–ST Core Framework: 10.5281/zenodo.18518738 Mathematical Interpretation PackageFor users interested in the formal and mathematical interpretation layer of the framework, the dedicated mathematical package is available at: MAB–ST Mathematical Package: 10.5281/zenodo.18520515 AI-Related PackageFor computational and AI-related interpretations and applications: MAB–ST AI Package: 10.5281/zenodo.18521094 Pharmacological Package (this record) MAB–ST Pharmacological Package: 10.5281/zenodo.18525924 License and Terms of UseThe applicable license and terms of use for the materials in this record are provided within the package itself.Users are required to consult the included licensing and usage conditions prior to any reuse, redistribution, or application of the materials.No rights beyond those explicitly stated in the included license terms are granted. Scope and Intended UseThe MAB–ST framework provides a formal relational meta-structure for modeling complex systems.It does not, by itself, constitute a discovery engine, a decision-making system, or a source of empirical or clinical claims.All empirical validation, causal interpretation, and clinical relevance must be established independently within domain-specific scientific and regulatory frameworks. Citation and UseIf you use or reference this pharmacological package, please cite the corresponding DOI and consult the Core Framework and the Critical Clarifications document to ensure correct interpretation.

Fields of Study & Subjects

Computational Drug Discovery Methods Medical and Pharmaceutic Studies Methodologies in Health Research and Practice

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026
Language
EN