Physicochemical factors such as pKa values, log-P values, and molecular size may influence the penetration of the blood-brain barrier.

the verdict

SUPPORTED

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Recorded sources

4 sources for · 0 against

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Is it true that Physicochemical factors such as pKa values, log-P values, and molecular size may influence the penetration of the blood-brain barrier?

Yes. Physicochemical properties such as lipophilicity, molecular size, ionization state, and hydrogen-bonding potential are well-established determinants that significantly influence the penetration of molecules across the blood-brain barrier.

Verdict: SUPPORTED · 4 sources for, 0 against · Last checked 4 Oct 2026

The analysis

The claim states that physicochemical factors like pKa values, log-P (lipophilicity) values, and molecular size may influence blood-brain barrier penetration. Multiple retrieved papers directly investigate and confirm the role of these specific physicochemical properties (lipophilicity, molecular size, polarity, hydrogen bonding, and ionization/pKa) in modulating blood-brain barrier permeability. Therefore, the claim is strongly supported by the literature.

Evidence for · 4

From the Gut to the Brain: Modeling Intestinal Absorption and Assessing Blood-Brain-Barrier Permeability of Small-Molecule Drugs by IAM Chromatography.

2026

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S, S., P, K., J, W., & T, L. (2026). From the Gut to the Brain: Modeling Intestinal Absorption and Assessing Blood-Brain-Barrier Permeability of Small-Molecule Drugs by IAM Chromatography.. doi.org. https://doi.org/10.1021/acsomega.6c00701

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More for · 3

The Role of Hydrogen Bond Donors and Intramolecular Hydrogen Bonding in Modulating Blood-Brain Barrier Permeability: Implications for CNS Drug Design.

2026

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M, N., N, B. L., L, S., E, U., & MJ, M. (2026). The Role of Hydrogen Bond Donors and Intramolecular Hydrogen Bonding in Modulating Blood-Brain Barrier Permeability: Implications for CNS Drug Design.. doi.org. https://doi.org/10.3390/molecules31132366

Quantitative Structural Thresholds for Blood-Brain Barrier Permeability Derived from Experimental logBB Measurements.

2026

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S, T., K, M., M, G., & Ł, S. (2026). Quantitative Structural Thresholds for Blood-Brain Barrier Permeability Derived from Experimental logBB Measurements.. doi.org. https://doi.org/10.3390/pharmaceutics18080967

A‑iMPO: A Design-Time Prediction Toolbox for Blood Brain Barrier Permeation Using an Integrated and Interpretable Multiparameter Optimization Framework.

2026

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S, P., A, N., & M, R. (2026). A‑iMPO: A Design-Time Prediction Toolbox for Blood Brain Barrier Permeation Using an Integrated and Interpretable Multiparameter Optimization Framework.. doi.org. https://doi.org/10.1021/acsmedchemlett.6c00347

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