A machine learning-based quantitative model (LogBB_Pred) to predict the blood–brain barrier permeability (logBB value) of drug compounds

MOTIVATION: Efficient assessment of the blood–brain barrier (BBB) penetration ability of a drug compound is one of the major hurdles in central nervous system drug discovery since experimental methods are costly and time-consuming. To advance and elevate the success rate of neurotherapeutic drug dis...

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Detalles Bibliográficos
Autores principales: Shaker, Bilal, Lee, Jingyu, Lee, Yunhyeok, Yu, Myeong-Sang, Lee, Hyang-Mi, Lee, Eunee, Kang, Hoon-Chul, Oh, Kwang-Seok, Kim, Hyung Wook, Na, Dokyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560102/
https://www.ncbi.nlm.nih.gov/pubmed/37713469
http://dx.doi.org/10.1093/bioinformatics/btad577

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560102/
https://www.ncbi.nlm.nih.gov/pubmed/37713469
http://dx.doi.org/10.1093/bioinformatics/btad577

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