Drug-likeness analysis of traditional Chinese medicines: 1. property distributions of drug-like compounds, non-drug-like compounds and natural compounds from traditional Chinese medicines

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Drug-likeness analysis of traditional Chinese medicines: 1. property distributions of drug-like compounds, non-drug-like compounds and natural compounds from traditional Chinese medicines

UNLABELLED BACKGROUND In this work, we analyzed and compared the distribution profiles of a wide variety of molecular properties for three compound classes: drug-like compounds in MDL Drug Data Report (MDDR), non-drug-like compounds in Available Chemical Directory (ACD), and natural compounds in Traditional Chinese Medicine Compound Database (TCMCD). RESULTS The comparison of the property ...

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Drug-likeness analysis of traditional Chinese medicines: 2. Characterization of scaffold architectures for drug-like compounds, non-drug-like compounds, and natural compounds from traditional Chinese medicines

UNLABELLED BACKGROUND In order to better understand the structural features of natural compounds from traditional Chinese medicines, the scaffold architectures of drug-like compounds in MACCS-II Drug Data Report (MDDR), non-drug-like compounds in Available Chemical Directory (ACD), and natural compounds in Traditional Chinese Medicine Compound Database (TCMCD) were explored and compared. R...

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Drug-likeness analysis of traditional Chinese medicines: prediction of drug-likeness using machine learning approaches.

Quantitative or qualitative characterization of the drug-like features of known drugs may help medicinal and computational chemists to select higher quality drug leads from a huge pool of compounds and to improve the efficiency of drug design pipelines. For this purpose, the theoretical models for drug-likeness to discriminate between drug-like and non-drug-like based on molecular physicochemic...

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Traditional Chinese medicines and new drug development

The recent study of the traditional medicines in China has given us confidence that what was recorded in Chinese ancient medical literature through empirical observations is indeed still coincident with modem chemistry, pharmacology and medicine. An antimalarial drug, artemether, and an acetylcholinesterase inhibitor, huperzine A, are exemplified.

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Improving the Odds in Discriminating "Drug-like" from "Non Drug-like" Compounds

We have used a feed-forward neural network technique to classify chemical compounds into potentially "drug-like" and "non drug-like" candidates. The neural network was trained to distinguish between a set of "drug-like" and "non drug-like" chemical compounds taken from the MACCS-II Drug Data Report (MDDR) and the Available Chemicals Directory (ACD). The 2D atom types (of the full atomic represe...

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ژورنال

عنوان ژورنال: Journal of Cheminformatics

سال: 2012

ISSN: 1758-2946

DOI: 10.1186/1758-2946-4-31