A Computational Physics-based Approach to Predict Unbound Brain-to-Plasma Partition Coefficient, K<sub>p,uu</sub>-Reference-Cited by-同舟云学术

A Computational Physics-based Approach to Predict Unbound Brain-to-Plasma Partition Coefficient, K_p,uu

Published:2023-06-02 Issue:12 Volume:63 Page:3786-3798
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Lawrenz Morgan¹,Svensson Mats²,Kato Mitsunori²,Dingley Karen H.²,Chief Elk Jackson³,Nie Zhe¹,Zou Yefen¹,Kaplan Zachary²^ORCID,Lagiakos H. Rachel²,Igawa Hideyuki²,Therrien Eric²^ORCID

Affiliation:

1. Schrödinger Inc., San Diego, California 92122, United States

2. Schrödinger Inc., New York, New York 10036, United States

3. Schrödinger Inc., Portland, Oregon 97204, United States

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00150

Reference62 articles.

1. Unbound Brain-to-Plasma Partition Coefficient, Kp,uu,brain—a Game Changing Parameter for CNS Drug Discovery and Development

2. On The Rate and Extent of Drug Delivery to the Brain

3. The blood-brain barrier: Bottleneck in brain drug development

4. ABC Transporters and the Blood-Brain Barrier

5. Blood-brain barrier active efflux transporters: ATP-binding cassette gene family

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