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Featured researches published by Fu Xc.


Molecules | 2003

Synthesis, Crystal Structure, Stacking Effect and Antibacterial Studies of a Novel Quaternary Copper (II) Complex with Quinolone

Guangguo Wu; Wang Gp; Fu Xc; Longguan Zhu

The structural properties of a new copper (II) complex [Cu2(cip)2(bpy)2(pip)]·6H2O (bpy=2,2’-bipyridyl, cip=1-cyclopropyl-6-4-oxo-1,4-dihydroquinoline-3-carboxylic acid, pip= piperazinyl anion), obtained during the synthesis of the copper complex with ciprofloxacin (cpf), has been investigated. The complex crystallizes in the triclinic system, space group P-1. The cell dimensions are: a=6.874(2) Å, b= 10.761(3) Å, c= 17.969(5) Å, α=80.071(6)°, β= 85.253(6)°, γ=79.109(6)°,V=1284.5(6) Å3, and Z=2. The Cu (II) ion displays a five-coordinate square pyramidal coordination with two nitrogen donors from bpy, the 4-keto and 3-carboxylate oxygen donors of cip, and the third nitrogen atom of the pip anion occupying the fifth site. There is a stack effect between cip ring and bpy ring from another molecule, where the stacking distance is about 3.5 Å. The results of elemental analysis and FT-IR measurement are also included. Both ligand and complex were assayed against gram-positive and gram-negative bacteria by the doubling dilutions method. The complex shows the same minimal inhibitory concentration (MIC) against S. Aureus and E. Coli bacteria as the corresponding ligand.


European Journal of Pharmaceutics and Biopharmaceutics | 2008

Predicting blood–brain barrier penetration from molecular weight and number of polar atoms

Fu Xc; Wang Gp; Hai-Li Shan; Wen-Quan Liang; Jian-Qing Gao

A simple three-descriptor model to predict blood-brain barrier is derived from a training set of 78 compounds: logBB=-9.880 x 10(-6)M(W)(2)+7.339 x 10(-3)M(W)-0.2268n(pol)-0.1143 (n=78, r(2)=0.74), where logBB is the logarithm of the ratio of the steady-state concentration of the compound in the brain to concentration in the blood, M(W) is the molecular weight, n(pol) is the number of polar atoms (oxygen, nitrogen, and attached hydrogen), n is the number of compounds, and r is the correlation coefficient. The model is validated through use of leave-one-out procedure and an external test set (25 compounds). The model is suitable for the rapid prediction of the blood-brain barrier penetration of drug candidates because of its predictive ability and simplicity.


Journal of Controlled Release | 2004

Prediction of drug release from HPMC matrices: effect of physicochemical properties of drug and polymer concentration.

Fu Xc; Wang Gp; Wen-Quan Liang; M.S.S. Chow


Die Pharmazie | 2005

A simple predictive model for blood-brain barrier penetration.

Fu Xc; Song Zf; Fu Cy; Wen-Quan Liang


Die Pharmazie | 2004

Predicting blood-brain barrier penetration of drugs using an artificial neural network.

Fu Xc; Wang Gp; Wen-Quan Liang; Yu Qs


Die Pharmazie | 2001

Correlation of drug absorption with molecular charge distribution.

Fu Xc; Wen-Quan Liang; Yu Qs


Die Pharmazie | 2007

Prediction of plasma protein binding of cephalosporins using an artificial neural network.

Fu Xc; Wang Gp; Jian-Qing Gao; Zhan Sy; Wen-Quan Liang


Die Pharmazie | 2005

Prediction of human intestinal absorption using an artificial neural network

Fu Xc; Chen Cx; Wang Gp; Wen-Quan Liang; Yu Qs


Die Pharmazie | 2004

A predictive model for the release of slightly water-soluble drugs from HPMC matrices.

Fu Xc; Wang Gp; Wang Yh; Wen-Quan Liang


Spectroscopy and Spectral Analysis | 2008

[Synthesis, spectral analysis, antibacterial and antitumor activities of Co(II) and Ni(II) ofloxacin complexes].

Wang Yl; Fu Xc; Lei Qf; Chen W; Wang Gp

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M.S.S. Chow

The Chinese University of Hong Kong

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