| Naslov: | Higher incidence of common polymorphisms in the genes of folate and methionine cycles in children with orofacial clefs and congenital heart defects compared to their unaffected siblings |
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| Avtorji: | ID Karas Kuželički, Nataša (Avtor)
ID Šmid, Alenka (Avtor)
ID Vidmar, Maša (Avtor)
ID Kek, Tina (Avtor)
ID Eberlinc, Andreja (Avtor)
ID Geršak, Borut (Avtor)
ID Mazić, Uroš (Avtor)
ID Mlinarič-Raščan, Irena (Avtor)
ID Geršak, Ksenija (Avtor) |
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| Datoteke: |  PDF - Predstavitvena datoteka, prenos (1,23 MB)
MD5: ED451CA1260907925914A2231AEF16E6
 URL - Izvorni URL, za dostop obiščite https://onlinelibrary.wiley.com/doi/10.1002/bdr2.2408
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| Jezik: | Angleški jezik |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: |  UKC LJ - Univerzitetni klinični center Ljubljana
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| Povzetek: | Background: Bioequivalence risk assessment as an extension of quality risk management lacks examples of quantitative approaches to risk assessment at an early stage of generic drug development. The aim of our study was to develop a model-based approach for bioequivalence risk assessment that uses pharmacokinetic and physicochemical characteristics of drugs as predictors and would standardize the first step of risk assessment. Methods: The Sandoz in-house bioequivalence database of 128 bioequivalence studies with poorly soluble drugs (23.5% non-bioequivalent) was used to train and validate the model. Four different modeling approaches, random forest, XGBoost, logistic regression and naïve Bayes, were compared. Results: Among the best performing machine learning models, random forest was selected and optimized for the number of features, resulting in an accuracy of 84% on the test data set. The most important features for prediction were those related to solubility (dose number, acid dissociation constant), absorption and elimination rate, effective permeability, variability of pharmacokinetic endpoints, and absolute bioavailability. All features had a conceivable influence on the model predictions. Conclusion: The model was used to develop a bioequivalence risk assessment approach to categorize drugs in early development into high, medium or low risk classes. |
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| Ključne besede: | congenital heart disease, folate metabolism, FPGS, genetics, orofacial clefts, polymorphisms, sibling pairs |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Leto izida: | 2024 |
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| Št. strani: | 11 str. |
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| Številčenje: | Vol. 116, iss. 11 |
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| PID: | 20.500.12556/DiRROS-29737  |
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| UDK: | 575:616.12-039 |
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| ISSN pri članku: | 2472-1727 |
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| DOI: | 10.1002/bdr2.2408 |
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| COBISS.SI-ID: | 213546755 |
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| Opomba: | Št. članka: e2408;
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| Datum objave v DiRROS: | 04.06.2026 |
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| Število ogledov: | 122 |
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| Število prenosov: | 87 |
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| Metapodatki: |    |
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