Details

Autor(en) / Beteiligte

• Chu, Ming
• Chen, Xi
• Wang, Jing
• Guo, Likai
• Wang, Qianqian
• Gao, Zirui
• Kang, Jiarui
• Zhang, Mingbo
• Feng, Jinqiu
• Guo, Qi
• Li, Binghua
• Zhang, Chengrui
• Guo, Xueyuan
• Chu, Zhengyun
• Wang, Yuedan

Titel

Polypharmacology of Berberine Based on Multi-Target Binding Motifs

Ist Teil von

• Frontiers in pharmacology, 2018-07, Vol.9, p.801-801

Ort / Verlag

Switzerland: Frontiers Media S.A

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Polypharmacology is emerging as the next paradigm in drug discovery. However, considerable challenges still exist for polypharmacology modeling. In this study, we developed a rational design to identify highly potential targets (HPTs) for polypharmacological drugs, such as berberine. All the proven co-crystal structures locate berberine in the active cavities of a redundancy of aromatic, aliphatic, and acidic residues. The side chains from residues provide hydrophobic and electronic interactions to aid in neutralization for the positive charge of berberine. Accordingly, we generated multi-target binding motifs (MBM) for berberine, and established a new mathematical model to identify HPTs based on MBM. Remarkably, the berberine MBM was embodied in 13 HPTs, including beta-secretase 1 (BACE1) and amyloid-β (Aβ ). Further study indicated that berberine acted as a high-affinity BACE1 inhibitor and prevented Aβ aggregation to delay the pathological process of Alzheimer's disease. Here, we proposed a MBM-based drug-target space model to analyze the underlying mechanism of multi-target drugs against polypharmacological profiles, and demonstrated the role of berberine in Alzheimer's disease. This approach can be useful in derivation of rules, which will illuminate our understanding of drug action in diseases.