Mirela Nicolov
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Mirela Nicolov has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Claudia Geanina Watz
Center for Drug Data Analysis, Cheminformatics, and the Internet of Medical Things, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square, No. 2, 300041 Timișoara, Romania
3 shared publications - Lucreția Udrescu
Center for Drug Data Analysis, Cheminformatics, and the Internet of Medical Things, Victor Babeş University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania
3 shared publications - Adrian Voicu
Center for Drug Data Analysis, Cheminformatics, and the Internet of Medical Things, Victor Babeş University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania
2 shared publications - Daiana Colibășanu
Center for Drug Data Analysis, Cheminformatics, and the Internet of Medical Things, Victor Babeş University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania
2 shared publications - Elena-Daniela Jurj
Center for Drug Data Analysis, Cheminformatics, and the Internet of Medical Things, Victor Babeş University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania
2 shared publications - Mirela Voicu
Department II–Pharmacology, Physiology and Physiopathology, Victor Babeş University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania
2 shared publications
Latest Publications
- Open Access
- 15 October 2026
- Published by MDPI AG in Pharmaceuticals
- Vol. 19 (10) , 1634
Physicochemical, Predicted ADME, and Structural Positioning of Azelaic Acid Within an Endocrine Oncology Reference Framework
Background: Azelaic acid, an established dermatologic dicarboxylic acid, was previously nominated as an unusual anticancer repurposing candidate. However, it remains unclear whether physicochemical properties, predicted ADME, or structural proximity to established endocrine anticancer drugs support this hypothesis. This study positioned azelaic acid relative to a clinically anchored endocrine anticancer reference panel using reference-defined space based on physicochemical and predicted ADME descriptors and two-dimensional structural similarity analyses. Methods: Sixteen clinically used endocrine anticancer drugs defined the reference set, with finasteride and dutasteride included as mechanistic comparators. SwissADME descriptors were screened for redundancy, standardized, and analyzed by principal component analysis and Euclidean nearest neighbor distances. Robustness was assessed by leave-one-reference-out, bootstrap, and WLOGP sensitivity analyses. Structural similarity was evaluated independently using Morgan fingerprints and Tanimoto coefficients. Results: The first two principal components explained 75.31% of reference variance. Flutamide was the nearest Clinical Reference to azelaic acid in physicochemical and predicted ADME space (d = 3.0063), but this distance exceeded the reference threshold (2.6521), classifying azelaic acid as extrapolative. This classification persisted in all 16 leave-one-reference-out analyses and in 73.69% of 992 valid bootstrap replicates. Structurally, the highest reference similarity was observed with toremifene (T = 0.08696), below the minimum internal Clinical Reference nearest-neighbor similarity (0.13761); radius-3 sensitivity analysis preserved this result. Conclusions: Azelaic acid is neither a close structural analog nor a physicochemical and predicted ADME neighbor of established endocrine anticancer drugs. Its network-derived nomination therefore represents a non-canonical repurposing hypothesis requiring further experimental validation.- 15 October 2026
- Published by MDPI AG in Pharmaceuticals
- Vol. 19 (10) , 1634
Open AccessPhysicochemical, Predicted ADME, and Structural Positioning of Azelaic Acid Within an Endocrine Oncology Reference Framework
Background: Azelaic acid, an established dermatologic dicarboxylic acid, was previously nominated as an unusual anticancer repurposing candidate. However, it remains unclear whether physicochemical properties, predicted ADME, or structural proximity to established endocrine anticancer drugs support this hypothesis. This study positioned azelaic acid relative to a clinically anchored endocrine anticancer reference panel using reference-defined space based on physicochemical and predicted ADME descriptors and two-dimensional structural similarity analyses. Methods: Sixteen clinically used endocrine anticancer drugs defined the reference set, with finasteride and dutasteride included as mechanistic comparators. SwissADME descriptors were screened for redundancy, standardized, and analyzed by principal component analysis and Euclidean nearest neighbor distances. Robustness was assessed by leave-one-reference-out, bootstrap, and WLOGP sensitivity analyses. Structural similarity was evaluated independently using Morgan fingerprints and Tanimoto coefficients. Results: The first two principal components explained 75.31% of reference variance. Flutamide was the nearest Clinical Reference to azelaic acid in physicochemical and predicted ADME space (d = 3.0063), but this distance exceeded the reference threshold (2.6521), classifying azelaic acid as extrapolative. This classification persisted in all 16 leave-one-reference-out analyses and in 73.69% of 992 valid bootstrap replicates. Structurally, the highest reference similarity was observed with toremifene (T = 0.08696), below the minimum internal Clinical Reference nearest-neighbor similarity (0.13761); radius-3 sensitivity analysis preserved this result. Conclusions: Azelaic acid is neither a close structural analog nor a physicochemical and predicted ADME neighbor of established endocrine anticancer drugs. Its network-derived nomination therefore represents a non-canonical repurposing hypothesis requiring further experimental validation. - Open Access
- 28 May 2026
- Published by MDPI AG in Pharmaceuticals
- Vol. 19 (6) , 840
The Complexity of Drug Development: Translational Value and Limitations of Computational ADMET Assays Applied to Approved Anticancer Drugs
Background: This study evaluates the translational relevance of free computer-assisted ADMET platforms in drug discovery by comparing SwissADME and FAF-Drugs4 predictions with regulatory and curated reference data for approved anticancer drugs. Methods: Fourteen approved anticancer agents representing diverse chemical classes were analyzed using SwissADME and FAF-Drugs4. We compared predicted physicochemical, pharmacokinetic, and toxicity-related properties with information extracted from FDA- and EMA-approved product information, DrugBank, and PubChem. We evaluated the concordance for oral absorption, permeability, metabolic stability, and toxicity-related trends. Results: The platforms showed good concordance for broad descriptor-driven properties, particularly oral suitability and physicochemical trends. Strong agreement was observed for intravenously administered taxanes, which displayed unfavorable oral drug characteristics, and for several orally active small molecules with generally compatible profiles. Partial concordance was observed for compounds such as temozolomide, whose clinical behavior is influenced by factors not fully captured by descriptor-based models. Toxicity outputs were informative as early warning signals, with vandetanib showing the clearest alignment between predicted elevated risk and documented safety concerns. Conclusions: Free computational ADMET tools are valuable computer-assisted drug discovery resources for early triage, predictive toxicology, and prioritization of repositioning candidates, but they should complement rigorous experimental and clinical evaluation.
- 28 May 2026
- Published by MDPI AG in Pharmaceuticals
- Vol. 19 (6) , 840
Open AccessThe Complexity of Drug Development: Translational Value and Limitations of Computational ADMET Assays Applied to Approved Anticancer Drugs
Background: This study evaluates the translational relevance of free computer-assisted ADMET platforms in drug discovery by comparing SwissADME and FAF-Drugs4 predictions with regulatory and curated reference data for approved anticancer drugs. Methods: Fourteen approved anticancer agents representing diverse chemical classes were analyzed using SwissADME and FAF-Drugs4. We compared predicted physicochemical, pharmacokinetic, and toxicity-related properties with information extracted from FDA- and EMA-approved product information, DrugBank, and PubChem. We evaluated the concordance for oral absorption, permeability, metabolic stability, and toxicity-related trends. Results: The platforms showed good concordance for broad descriptor-driven properties, particularly oral suitability and physicochemical trends. Strong agreement was observed for intravenously administered taxanes, which displayed unfavorable oral drug characteristics, and for several orally active small molecules with generally compatible profiles. Partial concordance was observed for compounds such as temozolomide, whose clinical behavior is influenced by factors not fully captured by descriptor-based models. Toxicity outputs were informative as early warning signals, with vandetanib showing the clearest alignment between predicted elevated risk and documented safety concerns. Conclusions: Free computational ADMET tools are valuable computer-assisted drug discovery resources for early triage, predictive toxicology, and prioritization of repositioning candidates, but they should complement rigorous experimental and clinical evaluation.
- Open Access
- 4 August 2025
- Published by MDPI AG in Nanomaterials
- Vol. 15 (15) , 1192
Fe3O4@β-cyclodextrin Nanosystem: A Promising Adjuvant Approach in Cancer Treatment
The high incidence of melanoma leading to a poor prognosis rate endorses the development of alternative and innovative approaches in the treatment of melanoma. Therefore, the present study aims to develop and characterize, in terms of physicochemical features and biological impact, an aqueous suspension of magnetite (Fe3O4) coated with β-cyclodextrin (Fe3O4@β-CD) as a potential innovative alternative nanosystem for melanoma therapy. The nanosystem exhibited physicochemical characteristics suitable for biological applications, revealing a successful complexation of Fe3O4 NPs with β-CD and an average size of 18.1 ± 2.1 nm. In addition, the in vitro evaluations revealed that the newly developed nanosystem presented high biocompatibility on a human keratinocyte (HaCaT) monolayer and selective antiproliferative activity on amelanotic human melanoma (A375) cells, inducing early apoptosis features when concentrations of 10, 15, and 20 μg/mL were employed for 48 h and 72 h. Collectively, the Fe3O4@β-CD nanosystem reveals promising features for an adjuvant approach in melanoma treatment, mainly due to its β-cyclodextrin coating, thus endorsing a potential co-loading of therapeutic drugs. Furthermore, the intrinsic magnetic core of Fe3O4 NPs supports the magnetically based cancer treatment strategies.
- 4 August 2025
- Published by MDPI AG in Nanomaterials
- Vol. 15 (15) , 1192
Open AccessFe3O4@β-cyclodextrin Nanosystem: A Promising Adjuvant Approach in Cancer Treatment
The high incidence of melanoma leading to a poor prognosis rate endorses the development of alternative and innovative approaches in the treatment of melanoma. Therefore, the present study aims to develop and characterize, in terms of physicochemical features and biological impact, an aqueous suspension of magnetite (Fe3O4) coated with β-cyclodextrin (Fe3O4@β-CD) as a potential innovative alternative nanosystem for melanoma therapy. The nanosystem exhibited physicochemical characteristics suitable for biological applications, revealing a successful complexation of Fe3O4 NPs with β-CD and an average size of 18.1 ± 2.1 nm. In addition, the in vitro evaluations revealed that the newly developed nanosystem presented high biocompatibility on a human keratinocyte (HaCaT) monolayer and selective antiproliferative activity on amelanotic human melanoma (A375) cells, inducing early apoptosis features when concentrations of 10, 15, and 20 μg/mL were employed for 48 h and 72 h. Collectively, the Fe3O4@β-CD nanosystem reveals promising features for an adjuvant approach in melanoma treatment, mainly due to its β-cyclodextrin coating, thus endorsing a potential co-loading of therapeutic drugs. Furthermore, the intrinsic magnetic core of Fe3O4 NPs supports the magnetically based cancer treatment strategies.
- 1 January 2025
- Published by University of Szeged
Computational ADMET pre-screening used for pharmaceutical formulation design improvement
- 1 January 2025
- Published by University of Szeged
Computational ADMET pre-screening used for pharmaceutical formulation design improvement