Art
J-GLOBAL ID:201902280468083124
Reference number:19A0415926
Computational biostability prediction for cyclic peptides by multiple lasso solutions to construct interpretable prediction model
複数のLasso回帰解に基づく解釈性の良い予測モデルを目指した環状ペプチド医薬品の体内安定性予測
Author (4):
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Material:
Volume:
2018
Issue:
MPS-118
Page:
Vol.2018-MPS-118,No.45,1-8(WEB ONLY)
Publication year:
Jun. 06, 2018
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (4):
JST classification
Category name(code) classified by JST.
Molecular and genetic information processing
, Pattern recognition
, Molecular structure
, Research and development
Reference (21):
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Olson, R. E. and David, D. C., ′′Plasma Protein Binding of Drugs.′′, Annual Reports in Medicinal Chemistry, 31, 327-336, 1996.
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Smith, D. A. et al. ′′The effect of plasma protein binding on in vivo efficacy: Misconceptions in drug discovery.′′ Nature Reviews Drug Discovery, 9(12), 929-939, 2010.
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Lambrinidis, G. et al. ′′In vitro, in silico and integrated strategies for the estimation of plasma protein binding. A review.′′ Advanced Drug Delivery Reviews, 86, 27-45, 2015.
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Senthilkumar, R. et al. ′′Plasma Protein Binding of Anisomelic Acid: Spectroscopy and Molecular Dynamic Simulations.′′ Journal of Chemical Information and Modeling, 56(12), 2401-2412, 2016.
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Ingle, B. L. et al. ′′Informing the human plasma protein binding of environmental chemicals by machine learning in the pharmaceutical space: Applicability domain and limits of predictability.′′ Journal of Chemical Information and Modeling, 56(11), 2243-2252, 2016.
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