Prediction of the Brain−Blood Distribution of a Large Set of Drugs from Structurally Derived Descriptors Using Partial Least-Squares (PLS) Modeling-Reference-Cited by-同舟云学术

Prediction of the Brain−Blood Distribution of a Large Set of Drugs from Structurally Derived Descriptors Using Partial Least-Squares (PLS) Modeling

Published:1999-02-27 Issue:2 Volume:39 Page:396-404
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Luco Juan M.¹

Affiliation:

1. Laboratorio de Alimentos, Facultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco y Pedernera, 5700 San Luis, Argentina

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci980411n

Reference42 articles.

1. Greig, N. H.; Brossi, A.; Pei, X. F.; Ingram, D. K.; Soncrant, T. T. InNewConcepts of a Blood−Brain Barrier; Greenwood J.et al., Eds.; Plenum: New York, 1995; pp 251−264.

2. Brain drug delivery and blood–brain barrier transport

3. QSAR studies on drugs acting at the central nervous system

4. Hydrophobicity and Central Nervous System Agents: On the Principle of Minimal Hydrophobicity in Drug Design

5. Development of a new physicochemical model for brain penetration and its application to the design of centrally acting H2 receptor histamine antagonists

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