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001-es BibID:	BIBFORM103800
035-os BibID:	(WoS)000852426500002 (Scopus)85138128529
Első szerző:	Pacza Tünde (alkalmazott matematikus, informatikus, prediktív táplálkozástudomány)
Cím:	MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions / Tünde Pacza, Mayara L. Martins, Maha Rockaya, Katalin Müller, Ayan Chatterjee, Albert-László Barabási, József Baranyi
Dátum:	2022
ISSN:	2052-4463
Megjegyzések:	This study describes the development of a database, called MilkyBase, of the biochemical composition of human milk. The data were selected, digitized and curated partly by machine-learning, partly manually from publications. The database can be used to find patterns in the milk composition as a function of maternal-, infant- and measurement conditions and as a platform for users to put their own data in the format shown here. The database is an Excel workbook of linked sheets, making it easy to input data by non-computationally minded nutritionists. The hierarchical organisation of the fields makes sure that statistical inference methods can be programmed to analyse the data. Uncertainty quantification and recording dynamic (time-dependent) compositions offer predictive potentials.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Scientific Data. - 9 : 1 (2022), p. 1-7. -
További szerzők:	Martins, Mayara Lopes (1993-) Rockaya, Maha (1993-) (PhD hallgató) Müller Katalin Eszter Chatterjee, Ayan Barabási Albert-László Baranyi József (1956-) (biomatematikus)
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001-es BibID:	BIBFORM136775
Első szerző:	Pecsenye Bence (vegyészmérnök, vegyész analitikus)
Cím:	Making Sense of Developmental Kinetics Under High-Sugar Stress : Mathematical Modeling of Phenotypic Plasticity in Drosophila melanogaster / Bence Pecsenye, Maha Rockaya, Tünde Pacza, Zibuyile Mposula, Endre Máthé
Dátum:	2026
ISSN:	2072-6643
Megjegyzések:	Background/Objectives: Although Drosophila melanogaster is widely used in genetics and nutrition research, developmental kinetics are rarely analyzed using formal mathematical modeling. Most dietary studies present developmental curves without rigorous fitting, limiting quantitative interpretation. This study applies and compares three primary models, as well as develops secondary models, to characterize the effects of high-sugar diets on egg-to-adult (life cycle) development. Methods: Standardized husbandry and an embryo-to-pupa feeding assay were performed across 11 sucrose concentrations. Synchronized embryo collection and high-resolution monitoring were used for this assay. Three primary models?dose?response, Gompertz, and logit-based linearization?were fitted to developmental curves to extract timing (tmid) and synchrony (sdvp) parameters. Secondary modeling was used to evaluate how these parameters change with respect to sucrose concentration. A custom VBA implementation of the Levenberg?Marquardt algorithm was used for fitting. Results: Increasing sucrose concentration markedly delayed pupariation and reduced viability at the highest levels. All models showed increasing tmid and decreasing sdvp with rising sugar concentration, with the Gompertz model providing the best overall performance. Secondary modeling revealed a consistent bilinear response with a breakpoint at 0.52-0.62 M, separating low-, medium-, and high-sucrose conditions. Reduced sampling frequency decreased model robustness, while twice-daily observations remained sufficient. Conclusions: Mathematical modeling provides a robust, practical framework for quantifying the effects of diet on D. melanogaster development. The Gompertz model provided the best fit and yielded biologically interpretable parameters. The bilinear secondary model effectively captured sucrose-dependent stress responses and quantified plasticity through environment-dependent changes in developmental timing and synchrony. Overall, this work establishes a quantitative practical framework for modeling developmental kinetics under nutritional perturbations, and the approach can be extended with additional secondary environmental factors to improve predictive analyses of nutritional effects.
Tárgyszavak:	Természettudományok Biológiai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Drosophila melanogaster nutritional modeling sugar stress sucrose life cycle developmental kinetics
Megjelenés:	Nutrients. - "Accepted by Publisher" 18 (2026), p. 1-17. -
További szerzők:	Rockaya, Maha (1993-) (PhD hallgató) Pacza Tünde (1967-) (alkalmazott matematikus, informatikus, prediktív táplálkozástudomány) Mposula, Zibuyile (1991-) (phd hallgató) Máthé Endre (1964-) (genetikus, molekuláris sejtbiológus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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