De-Xin Kong

Prof. De-Xin Kong

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2009 in Drug Discovery Today
Verified
Journal Article
Closed access
DKDe-Xin Kong
De-Xin Kong
XLXue-Juan Li
Xue-Juan Li
HZHong-Yu Zhang
Hong-Yu Zhang

1 November 2010 in Drug Discovery Today
Verified
Journal Article
Closed access
DKDe-Xin Kong
De-Xin Kong
YJYing-Ying Jiang
Ying-Ying Jiang
HZHong-Yu Zhang
Hong-Yu Zhang

24 May 2018 in Journal of Chemical Information and Modeling
Verified
Journal Article
Closed access
JSJun Shang
Jun Shang
BHBen Hu
Ben Hu
Junmei WangJunmei Wang
Junmei Wang
FZFeng Zhu
Feng Zhu
YKYu Kang
Yu Kang
THTingjun Hou
Tingjun Hou

1 January 2015 in International Journal of Biological Sciences
Verified
Journal Article
Open access
DLDong-Zhen Li
Dong-Zhen Li
GYGuang-Qiang Yu
Guang-Qiang Yu
SYShan-Cheng Yi
Shan-Cheng Yi
YZYinan Zhang
Yinan Zhang
DKDe-Xin Kong
De-Xin Kong
Man-Qun WangMan-Qun Wang
Man-Qun Wang
Odorant binding proteins (OBPs) transport hydrophobic odor molecules across the sensillar lymph to trigger a neuronal response. Herein, the Minus-C OBP (DhelOBP21) was characterized from Dastarcus helophoroides, the most important natural parasitic enemy insect that targets Monochamus alternatus. Homology modeling and molecular docking were conducted on the interaction between DhelOBP21 and 17 volatile molecules (including volatiles from pine bark, the larva of M. alternatus, and the faeces of the larva). The predicted three-dimensional structure showed only two disulfide bridges and a hydrophobic binding cavity with a short C-terminus. Ligand-binding experiments using N-phenylnaphthylamine (1-NPN) as a fluorescent probe showed that DhelOBP21 exhibited better binding affinities against those ligands with a molecular volume between 100 and 125 ų compared with ligands with a molecular volume between 160 and 185 ų. Molecules that are too big or too small are not conducive for binding. We mutated the amino acid residues of the binding cavity to increase either hydrophobicity or hydrophilia. Ligand-binding experiments and cyber molecular docking assays indicated that hydrophobic interactions are more significant than hydrogen-bonding interactions. Although hydrogen-bond interactions could be predicted for some binding complexes, the hydrophobic interactions had more influence on binding following hydrophobic changes that affected the cavity. The orientation of ligands affects binding by influencing hydrophobic interactions. The binding process is controlled by multiple factors. This study provides a basis to explore the ligand-binding mechanisms of Minus-C OBP.

29 August 2007 in Genome Biology
Verified
Journal Article
Open access
PDF file
HJHong-Fang Ji
Hong-Fang Ji
DKDe-Xin Kong
De-Xin Kong
LSLiang Shen
Liang Shen
LCLing-Ling Chen
Ling-Ling Chen
BMBin-Guang Ma
Bin-Guang Ma
HZHong-Yu Zhang
Hong-Yu Zhang
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, dihydro-nicotinamide-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.

1 November 2013 in Journal of Chemical Information and Modeling
Verified
Journal Article
Closed access
ZDZhi-Luo Deng
Zhi-Luo Deng
CDCai-Xia Du
Cai-Xia Du
XLXiao Li
Xiao Li
BHBen Hu
Ben Hu
ZKZheng-Kun Kuang
Zheng-Kun Kuang
DKDe-Xin Kong
De-Xin Kong