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Simcyp in vitro analysis (siva) tool
In Vitro Analysis (Siva) Tool, supplied by Simcyp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/in+vitro+analysis+(siva)+tool/in+vitro+data+analysis++siva++toolkit/pmc12167915-94-48-46
Average 90 stars, based on 1 article reviews
in vitro analysis (siva) tool - by Bioz Stars, 2026-09
90/100 stars

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Solubility:

Article Title: Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective.
Article Snippet: Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure.. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models.. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model.

Article Title: Middle‐Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH‐solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Article Title: Middle-Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib.
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH- solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

In Vitro:

Article Title: Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective.
Article Snippet: Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure.. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models.. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model.

Article Title: Middle‐Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH‐solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Article Title: Middle-Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib.
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH- solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Software:

Article Title: Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective.
Article Snippet: Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure.. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models.. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model.

Article Title: Middle‐Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH‐solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Article Title: Middle-Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib.
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH- solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Dissolution:

Article Title: Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective.
Article Snippet: Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure.. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models.. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model.

Article Title: Middle‐Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH‐solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Article Title: Middle-Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib.
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH- solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Diffusion-based Assay:

Article Title: Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective.
Article Snippet: Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure.. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models.. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model.

Article Title: Middle‐Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH‐solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).

Article Title: Middle-Out Physiologically Based Pharmacokinetic Modeling to Support Pediatric Dosing Recommendation for Alectinib.
Article Snippet: First, the solubility results under different conditions (i.e., (i) pH- solubility profile in the absence of SLS, (ii) solubility obtained at various percentages of SLS in aqueous buffer at pH 9, and (iii) solubility in FaSSIF and FeSSIF in the presence of SLS) were incorporated into the Simcyp In Vitro Analysis (SIVA) tool to estimate the micelle: buffer partition coefficient (logKm:w).



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