Showing papers by "Kaixian Chen published in 2007"

Predicting protein-protein interactions based only on sequences information.

Abstract: Protein–protein interactions (PPIs) are central to most biological processes. Although efforts have been devoted to the development of methodology for predicting PPIs and protein interaction networks, the application of most existing methods is limited because they need information about protein homology or the interaction marks of the protein partners. In the present work, we propose a method for PPI prediction using only the information of protein sequences. This method was developed based on a learning algorithm-support vector machine combined with a kernel function and a conjoint triad feature for describing amino acids. More than 16,000 diverse PPI pairs were used to construct the universal model. The prediction ability of our approach is better than that of other sequence-based PPI prediction methods because it is able to predict PPI networks. Different types of PPI networks have been effectively mapped with our method, suggesting that, even with only sequence information, this method could be applied to the exploration of networks for any newly discovered protein with unknown biological relativity. In addition, such supplementary experimental information can enhance the prediction ability of the method.

Residues on the dimer interface of SARS coronavirus 3C-like protease: dimer stability characterization and enzyme catalytic activity analysis.

Abstract: 3C-like protease (3CL pro) plays pivotal roles in the life cycle of severe acute respiratory syndrome coronavirus (SARS-CoV) and only the dimeric protease is proposed as the functional form. Guided by the crystal structure and molecular dynamics simulations, we performed systematic mutation analyses to identify residues critical for 3CL pro dimerization and activity in this study. Seven residues on the dimer interface were selected for evaluating their contributions to dimer stability and catalytic activity by biophysical and biochemical methods. These residues are involved in dimerization through hydrogen bonding and broadly located in the N-terminal finger, the alpha-helix A' of domain I, and the oxyanion loop near the S1 substrate-binding subsite in domain II. We revealed that all seven single mutated proteases still have the dimeric species but the monomer-dimer equilibria of these mutants vary from each other, implying that these residues might contribute differently to the dimer stability. Such a conclusion could be further verified by the results that the proteolytic activities of these mutants also decrease to varying degrees. The present study would help us better understand the dimerization-activity relationship of SARS-CoV 3CL pro and afford potential information for designing anti-viral compounds targeting the dimer interface of the protease.

Hyrtiosal, a PTP1B Inhibitor from the Marine Sponge Hyrtios erectus, Shows Extensive Cellular Effects on PI3K/AKT Activation, Glucose Transport, and TGFβ/Smad2 Signaling

Abstract: Protein tyrosine phosphatase 1B (PTP1B) negatively regulates insulin signaling, and PTP1B inhibitors have been seen as promising therapeutic agents against obesity and type 2 diabetes. Here we report that the marine natural product hyrtiosal, from the marine sponge Hyrtios erectus, has been discovered to act as a PTP1B inhibitor and to show extensive cellular effects on PI3K/AKT activation, glucose transport, and TGFbeta/Smad2 signaling. This inhibitor wad able to inhibit PTP1B activity in dose-dependent fashion, with an IC(50) value of 42 microM in a noncompetitive inhibition mode. Further study with an IN Cell Analyzer 1000 cellular fluorescence imaging instrument showed that hyrtiosal displayed potent activity in abolishing the retardation of AKT membrane translocation caused by PTP1B overexpression in CHO cells. Moreover, it was found that this newly identified PTP1B inhibitor could dramatically enhance the membrane translocation of the key glucose transporter Glut4 in PTP1B-overexpressed CHO cells. Additionally, in view of our recent finding that PTP1B was able to modulate insulin-mediated inhibition of Smad2 activation, hyrtiosal was also tested for its capabilities in the regulation of Smad2 activity through the PI3K/AKT pathway. The results showed that hyrtiosal could effectively facilitate insulin inhibition of Smad2 activation. Our current study is expected to supply new clues for the discovery of PTP1B inhibitors from marine natural products, while the newly identified PTP1B inhibitor hyrtiosal might serve as a potential lead compound for further research.

Malonyl-CoA: acyl carrier protein transacylase from Helicobacter pylori: Crystal structure and its interaction with acyl carrier protein.

Abstract: Malonyl-CoA: acyl carrier protein transacylase (MCAT) is a critical enzyme responsible for the transfer of the malonyl moiety to holo-acyl carrier protein (ACP) forming the malonyl-ACP intermediates in the initiation step of type II fatty acid synthesis (FAS II) in bacteria. MCAT has been considered as an attractive drug target in the discovery of antibacterial agents. In this study, the crystal structure of MCAT from Helicobacter pylori (Hp) at 2.5 A resolution is reported, and the interaction of HpMCAT with HpACP is extensively investigated by using computational docking, GST-pull-down, and surface plasmon resonance (SPR) technology-based assays. The crystal structure results reveal that HpMCAT has a compact folding composed of a large subdomain with a similar core as in α/β hydrolases, and a similar ferredoxin-like small subdomain as in acylphosphatases. The docking result suggests two positively charged areas near the entrance of the active site of HpMCAT as the ACP-binding region. Binding assay research shows that HpMCAT demonstrates a moderately binding ability against HpACP. The solved 3D structure of HpMCAT is expected to supply useful information for the structure-based discovery of novel inhibitors against MCAT, and the quantitative study of HpMCAT interaction with HpACP is hoped to give helpful hints in the understanding of the detailed catalytic mechanisms for HpMCAT.

Discovering potassium channel blockers from synthetic compound database by using structure-based virtual screening in conjunction with electrophysiological assay.

Abstract: Potassium ion (K+) channels are attractive targets for drug discovery because of the essential roles played in biological systems. However, high-throughput screening (HTS) cannot be used to screen K+ channel blockers. To overcome this disadvantage of HTS, we have developed a virtual screening approach for discovering novel blockers of K+ channels. On the basis of a three-dimensional model of the eukaryotic K+ channels, molecular docking-based virtual screening was employed to search the chemical database MDL Available Chemicals Directory (ACD). Compounds were ranked according to their relative binding energy, favorable shape complementarity, and potential to form hydrogen bonds with the outer mouth of the K+ channel model. Twenty candidate compounds selected from the virtual screening were examined using the whole-cell voltage-clamp recording in rat dissociated hippocampal neurons. Among them, six compounds (5, 6, 8, 18−20) potently blocked both the delayed rectifier (IK) and fast transient K+ currents (I...

Understanding the regulation mechanisms of PAF receptor by agonists and antagonists: molecular modeling and molecular dynamics simulation studies.

Abstract: Platelet-activating factor receptor (PAFR) is a member of G-protein coupled receptor (GPCR) superfamily. Understanding the regulation mechanisms of PAFR by its agonists and antagonists at the atomic level is essential for designing PAFR antagonists as drug candidates for treating PAF-mediated diseases. In this study, a 3D model of PAFR was constructed by a hierarchical approach integrating homology modeling, molecular docking and molecular dynamics (MD) simulations. Based on the 3D model, regulation mechanisms of PAFR by agonists and antagonists were investigated via three 8-ns MD simulations on the systems of apo-PAFR, PAFR-PAF and PAFR-GB. The simulations revealed that binding of PAF to PAFR triggers the straightening process of the kinked helix VI, leading to its activated state. In contrast, binding of GB to PAFR locks PAFR in its inactive state. Proteins 2007. © 2007 Wiley-Liss, Inc.

Design, synthesis, antitumor evaluations and molecular modeling studies of novel 3,5-substituted indolin-2-one derivatives

Abstract: Aim: To design and synthesize a novel class of antitumor agents, featuring the 3, 5-substituted indolin-2-one framework. Methods: Based on enzyme binding features of (Z)-SU5402, introducing a β-pyrrole group at the 3-position of the indolin- 2-one core, a series of novel 3,5-substituted indolin-2-ones were designed and synthesized. Four human carcinoma cell lines of A-431, A-549, MDA-MB-468, and Autosomal Dominant Polycystic Kidney disease were chosen for the cell proliferation assay. Results: Twenty new compounds (1a–t) with E configuration have been designed, synthesized and bioassayed. Their structural features were determined by nuclear magnetic resonance (NMR) spectra, low- and high-resolution mass spectra, and confirmed by X-ray crystallography. Although the enzyme assay showed a weak inhibition effect against the epidermal growth factor receptor, vascular endothelial growth factor receptor, fibroblast growth factor receptor and platelet-derived growth factor receptor tyrosine kinases, the cell-based antitumor activity was promising. Compounds 1g and 1h showed higher inhibitory activity toward the A-549 and MDA-MB-468 cell lines with IC 50 of 0.065–9.4 μmol/L. Conclusion: This study provides a new template for further development of potent antitumor drugs.

Pharmacophore-directed homology modeling and molecular dynamics simulation of G protein-coupled receptor: study of possible binding modes of 5-HT2C receptor agonists.

Abstract: A new pharmacophore-based modeling procedure, including homology modeling, pharmacophore study, flexible molecular docking, and long-time molecular dynamics (MD) simulations was employed to construct the structure of the human 5-HT 2C receptor and determine the characteristics of binding modes of 5-HT 2C receptor agonists. An agonist-receptor complex has been constructed based on homology modeling and a pharmacophore hypothesis model based on some high active compounds. Then MD simulations of the ligand-receptor complex in an explicit membrane environment were carried out. The conformation of the 5-HT 2C receptor during MD simulation was explored, and the stable binding modes of the studies agonist were determined. Flexible molecular docking of several structurally diverse agonists of the human 5-HT 2C receptor was carried out, and the general binding modes of these agonists were investigated. According to the models presented in this work and the results of Flexi-Dock, the involvement of the amino acid residues Asp134, Ser138, Asn210, Asn331, Tyr358, Ile131, Ser132, Val135, Thr139, Ile189, Val202, Val208, Leu209, Phe214, Val215, Gly218, Ser219, Phe223, Trp324, Phe327, and Phe328, in agonist recognition was studied. The obtained binding modes of the human 5-HT 2C receptor agonists have good agreement with the site-directed mutagenesis data and other studies.

Transformation of Aryl Acyloin O-Alkyl and O-Phenyl Derivatives to Ketones.

Abstract: The treatment of aryl acyloin (α‐hydroxyketone) O‐alkyl and O‐phenyl derivatives with 2–3 equiv of Zn and 1–2 equiv of NH4Cl in ethanol, refluxing for 20–120 min, gave the corresponding ketones with excellent yields. Further, α,β‐epoxy ketones can be efficiently transformed to β‐hydroxy ketones, and 2,2‐dialkoxy‐1‐phenyl ketone also can be dealkoxylated to 1‐phenyl ketone.