Potential synergism and inhibitors to multiple target enzymes of Xuefu Zhuyu Decoction in cardiac disease therapeutics: a computational approach.

Peking University, Colloge Chemistry & Molecular Engineering, Beijing 100871, PR China.
Bioorganic & Medicinal Chemistry Letters (Impact Factor: 2.33). 04/2007; 17(6):1779-83. DOI: 10.1016/j.bmcl.2006.12.078
Source: PubMed

ABSTRACT In order to study the drug-like features of Xuefu Zhuyu Decoction (XFZYD), a Traditional Chinese Medicinal recipe, three different computational methods were introduced to characterize the molecules in XFZYD, including chemical space distribution, docking protocol, and ADME prediction. Chemical space compared between the compound sets from XFZYD and drug/drug-like shows XFZYD may have desired interaction with broader protein targets. And the docking results show that the XFZYD is a broad-spectrum recipe inhibiting many important target enzymes. Together with the predictions of ADME properties, clue of potential synergism of XFZYD was obtained.

  • [Show abstract] [Hide abstract]
    ABSTRACT: Stroke is an important cause of mortality and morbidity worldwide but effective therapeutic strategy for the prevention of brain injury in patients with cerebral ischemia is lacking. Although tissue plasminogen activator has been used to treat stroke patients, this therapeutic strategy is confronted with ill side effects and is limited to patients within 3 h of a stroke. Due to the complexity of the events and the disappointing results from single agent trials, the combination of thrombolytic therapy and effective neural protection therapy may be an alternative strategy for patients with cerebral ischemia. Chinese medicine (CM) is the most widely practiced form of herbalism worldwide, as it is a sophisticated system of medical theory and practice that is specifically different from Western medicine. Most traditional therapeutic formulations consist of a combination of several drugs. The combination of multiple drugs is thought to maximize therapeutic efficacy by facilitating synergistic actions and preventing possible adverse effects while at the same time marking at multiple targets. CM has been labeled in ancient medicine systems as a treatment for various diseases associated with stroke. This review summarizes various CMs, bioactive compounds and their effects on cerebral ischemia.
    Chinese Journal of Integrative Medicine 07/2014; 21(2). · 1.40 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: While the concept of "single component-single target" in drug discovery seems to have come to an end, "Multi-component-multi-target" is considered to be another promising way out in this field. The Traditional Chinese Medicine (TCM), which has thousands of years' clinical application among China and other Asian countries, is the pioneer of the "Multi-component-multi-target" and network pharmacology. Hundreds of different components in a TCM prescription can cure the diseases or relieve the patients by modulating the network of potential therapeutic targets. Although there is no doubt of the efficacy, it is difficult to elucidate convincing underlying mechanism of TCM due to its complex composition and unclear pharmacology. Without thorough investigation of its potential targets and side effects, TCM is not able to generate large-scale medicinal benefits, especially in the days when scientific reductionism and quantification are dominant. The use of ligand-protein networks has been gaining significant value in the history of drug discovery while its application in TCM is still in its early stage. This article firstly surveys TCM databases for virtual screening that have been greatly expanded in size and data diversity in recent years. On that basis, different screening methods and strategies for identifying active ingredients and targets of TCM are outlined based on the amount of network information available, both on sides of ligand bioactivity and the protein structures. Furthermore, applications of successful in silico target identification attempts are discussed in details along with experiments in exploring the ligand-protein networks of TCM. Finally, it will be concluded that the prospective application of ligand-protein networks can be used not only to predict protein targets of a small molecule, but also to explore the mode of action of TCM.
    Advances in Experimental Medicine and Biology 01/2015; 827:227-57. · 2.01 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Huoxue Huayu (HXHY) has been widely used in traditional Chinese medicine (TCM) as a key therapeutic principle for osteoarthritis (OA), and related herbs have been widely prescribed to treat OA in the clinic. The aims of the present study were to explore a multi-target therapy for OA using 10 common HXHY herbs and to investigate their potential applications for treatment of other diseases. A novel computational simulation approach that integrates chemical structure, ligand clusters, chemical space and drug‑likeness evaluations, as well as docking and network analysis, was used to investigate the properties and effects of the herbs. The compounds contained in the studied HXHY herbs were divided into 10 clusters. Comparison of the chemical properties of these compounds to those of other compounds described in the DrugBank database indicated that the properties of the former are more diverse than those of the latter and that most of the HXHY-derived compounds do not violate the 'Lipinski's rule of five'. Docking analysis allowed for the identification of 39 potential bioactive compounds from HXHY herbs and 11 potential targets for these compounds. The identified targets were closely associated with 49 diseases, including neoplasms, musculoskeletal, nervous system and cardiovascular diseases. Ligand‑target (L‑T) and ligand‑target‑disease (L‑T‑D) networks were constructed in order to further elucidate the pharmacological effects of the herbs. Our findings suggest that a number of compounds from HXHY herbs are promising candidates for mult‑target therapeutic application in OA and may exert diverse pharmacological effects, affecting additional diseases besides OA.
    Molecular Medicine Reports 01/2014; · 1.48 Impact Factor