张红雨
主要从事生物信息学和化学信息学方面的研究,在多靶点药物设计和生命起源与进化的基础方面做出了一些创新性发现
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- 姓名:张红雨
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学术头衔:
博士生导师
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学科领域:
生物物理学
- 研究兴趣:主要从事生物信息学和化学信息学方面的研究,在多靶点药物设计和生命起源与进化的基础方面做出了一些创新性发现
张红雨,男,1970年6月生于山东省济南市。1997年1月毕业于中国科学院生物物理研究所生物物理专业,获理学博士学位。现为山东理工大学学术委员会委员、特聘教授、博士生导师、国际期刊Current Computer-Aided Drug Design编委、Genomics Insights编委、International Journal of Pharmacology、Trends in Molecular Sciences、Trends in Bioinformatics地区编辑。近年来主要从事生物信息学和化学信息学方面的研究,在多靶点药物设计和生命起源与进化的基础方面做出了一些创新性发现。已发表SCI收录论文140余篇,被国内外同行引用800余次,1篇论文被ISI评为Top 1%论文,1篇论文入选Faculty of 1000 Biology。1998年获得第五届山东省青年科技奖;1999年获得第三届中国药理学会Servier奖;2005年获得中国化学会青年化学奖。近年来多次担任J. Am. Chem. Soc.等35种国际期刊的审稿人。
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【期刊论文】Where is the hope for drug discovery? Let history tell the future
张红雨, De-Xin Kong, Xue-Juan Li and Hong-Yu Zhang
Drug Discovery Today Volume 14, Numbers 3/4 February 2009,-0001,():
-1年11月30日
For drug discovery, historical experience is always of significance. Through examining the history of traditional medicines, we find that these medicines have more implications for drug discovery than just providing new chemical entities. The history of traditional medicines indicates that they depended more on the combination of natural agents than on screening new agents to find new remedies. This phenomenon suggests that shifting the current drug discovery paradigm from 'finding new-entity drugs' to 'combining existing agents' may be helpful for overcoming the 'more investment, fewer drugs' challenge. We show that clues to finding antidementia combinatorial drugs can be derived from traditional medicine formulae. It seems that to create a brighter future of drug discovery, we would better go back to history.
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张红雨, Hong-Fang Ji, De-Xin Kong, Liang Shen, Ling-Ling Chen, Bin-Guang Ma and Hong-Yu Zhang
Genome Biology 2007, Volume 8, Issue 8, Article R176 Ji et al. R176.11,-0001,():
-1年11月30日
Background: Extant life depends greatly on the binding of small molecules (such as ligands) with macromolecules (such as proteins), and one ligand can bind multiple proteins. However, little is known about the global patterns of ligand-protein mapping. Results: By examining 2,186 well-defined small-molecule ligands and thousands of protein domains derived from a database of druggable binding sites, we show that a few ligands bind tens of protein domains or folds, whereas most ligands bind only one, which indicates that ligand-protein mapping follows a power law. Through assigning the protein-binding orders (early or late) for bio-ligands, we demonstrate that the preferential attachment principle still holds for the power-law relation between ligands and proteins. We also found that polar molecular surface area, H-bond acceptor counts, H-bond donor counts and partition coefficient are potential factors to discriminate ligands from ordinary molecules and to differentiate super ligands (shared by three or more folds) from others. Conclusion: These findings have significant implications for evolution and drug discovery. First, the chronology of ligand-protein binding can be inferred by the power-law feature of ligand-protein mapping. Some nucleotide-containing ligands, such as ATP, ADP, GDP, NAD, FAD, dihydronicotinamide-adenine-dinucleotide phosphate (NDP), nicotinamide-adenine-dinucleotide phosphate (NAP), flavin mononucleotide (FMN) and AMP, are found to be the earliest cofactors bound to proteins, agreeing with the current understanding of evolutionary history. Second, the finding that about 30% of ligands are shared by two or more domains will help with drug discovery, such as in finding new functions from old drugs, developing promiscuous drugs and depending more on natural products.
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张红雨, Hong-Fang Ji, Lei Chen, and Hong-Yu Zhang*
BioEssays 30: 766-771,-0001,():
-1年11月30日
Protein redox reactions are one of the most basic and important biochemical actions. As amino acids are weak redox mediators, most protein redox functions are undertaken by protein cofactors, which include organic ligands and transition metal ions. Since both kinds of redox cofactors were available in the pre-proteinRNAworld, it is challenging to explore which one was more involved in redox processes of primitive proteins? In this paper, using an examination of the redox cofactor usage of putative ancient proteins, we infer that organic ligands participated more frequently than transition metals in redox reactions of primitive proteins, at least as protein cofactors. This is further supported by the relative abundance of amino acids in the primordial world. Supplementary material for this article can be found on the BioEssays website (http://www.mrw.interscience. wiley.com/suppmat/0265-9247/suppmat/index.html). BioEssays 30: 766-771, 2008.
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张红雨
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【期刊论文】Substituent Effects on O-H Bood Dissociation Enthalpies and Ionization Potentials of Catechols
张红雨
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-1年11月30日
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张红雨
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