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Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening
Research article (Molecular Pharmaceutics, 2015) · cited 22× · AI/ML
Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening
Summary
Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening is a scholarly article[1].
Key Facts
Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-in-silico-models-for-predicting-p-glycoprotein-inhibitors-based-on-a-two-step-approach-for-feature-select
MLA“Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-in-silico-models-for-predicting-p-glycoprotein-inhibitors-based-on-a-two-step-approach-for-feature-select.
BibTeX@misc{4ortxyz_development-of-in-silico-models-for-predicting-p-glycoprotein-inhibitors-based-on-a-two-step-approach-for-feature-select_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-in-silico-models-for-predicting-p-glycoprotein-inhibitors-based-on-a-two-step-approach-for-feature-select}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of in Silico Models for Predicting P-Glycoprotein Inhibitors Based on a Two-Step Approach for Feature Selection and Its Application to Chinese Herbal Medicine Screening — https://4ort.xyz/entity/development-of-in-silico-models-for-predicting-p-glycoprotein-inhibitors-based-on-a-two-step-approach-for-feature-select (retrieved 2026-05-24)
