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1.
PLoS One ; 11(12): e0167549, 2016.
Article in English | MEDLINE | ID: mdl-27907125

ABSTRACT

A hypothetical protein TON_0340 of a Thermococcus species is a protein conserved in a variety of organisms including human. Herein, we present four different crystal structures of TON_0340, leading to the identification of an active-site cavity harboring a metal-binding site composed of six invariant aspartate and glutamate residues that coordinate one to three metal ions. Biochemical and mutational analyses involving many phosphorous compounds show that TON_0340 is a Mn2+-dependent phosphatase. Mg2+ binds to TON_0340 less tightly and activates the phosphatase activity less efficiently than Mn2+. Whereas Ca2+ and Zn2+ are able to bind to the protein, they are unable to activate its enzymatic activity. Since the active-site cavity is small and largely composed of nearly invariant stretches of 11 or 13 amino acids, the physiological substrates of TON_0340 and its homologues are likely to be a small and the same molecule. The Mn2+-bound TON_0340 structure provides a canonical model for the ubiquitously present TON_0340 homologues and lays a strong foundation for the elucidation of their substrate and biological function.


Subject(s)
Archaeal Proteins/chemistry , Manganese/chemistry , Phosphoprotein Phosphatases/chemistry , Thermococcus/chemistry , Amino Acid Sequence , Archaeal Proteins/genetics , Archaeal Proteins/metabolism , Binding Sites , Cloning, Molecular , Conserved Sequence , Crystallography, X-Ray , Escherichia coli/genetics , Escherichia coli/metabolism , Gene Expression , Humans , Manganese/metabolism , Models, Molecular , Phosphoprotein Phosphatases/genetics , Phosphoprotein Phosphatases/metabolism , Protein Binding , Protein Interaction Domains and Motifs , Protein Structure, Secondary , Recombinant Proteins/chemistry , Recombinant Proteins/genetics , Recombinant Proteins/metabolism , Sequence Alignment , Sequence Homology, Amino Acid , Thermococcus/enzymology
2.
PLoS One ; 10(3): e0118683, 2015.
Article in English | MEDLINE | ID: mdl-25821953

ABSTRACT

Legionella pneumophila, a human intracellular pathogen, encodes about 290 effector proteins that are translocated into host cells through a secretion machinery. Some of these proteins have been shown to manipulate or subvert cellular processes during infection, but functional roles of a majority of them remain unknown. Lpg0393 is a newly identified Legionella effector classified as a hypothetical protein. Through X-ray crystallographic analysis, we show that Lpg0393 contains a Vps9-like domain, which is structurally most similar to the catalytic core of human Rabex-5 that activates the endosomal Rab proteins Rab5, Rab21 and Rab22. Consistently, Lpg0393 exhibited a guanine-nucleotide exchange factor activity toward the endosomal Rabs. This work identifies the first example of a bacterial guanine-nucleotide exchange factor that is active towards the Rab5 sub-cluster members, implying that the activation of these Rab proteins might be advantageous for the intracellular survival of Legionella.


Subject(s)
Bacterial Proteins/metabolism , Guanine Nucleotide Exchange Factors/metabolism , Legionella pneumophila/metabolism , rab GTP-Binding Proteins/metabolism , Amino Acid Sequence , Bacterial Proteins/chemistry , Golgi Apparatus/metabolism , Guanine Nucleotide Exchange Factors/chemistry , Humans , Models, Molecular , Molecular Sequence Data , Protein Binding , Protein Conformation , Protein Interaction Domains and Motifs , Protein Transport , Sequence Alignment , rab GTP-Binding Proteins/chemistry , rab5 GTP-Binding Proteins
3.
J Mol Graph Model ; 46: 1-9, 2013 Nov.
Article in English | MEDLINE | ID: mdl-24104184

ABSTRACT

Activation of the peroxisome proliferator-activated receptor γ (PPARγ) is important for the treatment of type 2 diabetes and obesity through the regulation of glucose metabolism and fatty acid accumulation. Hence, the discovery of novel PPARγ agonists is necessary to overcome these diseases. In this study, a newly developed approach, multi-conformation dynamic pharmacophore modeling (MCDPM), was used for screening candidate compounds that can properly bind PPARγ. Highly populated structures obtained from molecular dynamics (MD) simulations were selected by clustering analysis. Based on these structures, pharmacophore models were generated from the ligand-binding pocket and then validated to check the rationality. Consequently, two hits were retrieved as final candidates by utilizing virtual screening and molecular docking simulations. These compounds can be used in the design of novel PPARγ agonists.


Subject(s)
Molecular Dynamics Simulation , PPAR gamma/chemistry , Amino Acid Motifs , Binding Sites , Cluster Analysis , Drug Discovery , Humans , Hydrogen Bonding , Molecular Docking Simulation , PPAR gamma/agonists , Protein Binding , Rosiglitazone , Small Molecule Libraries , Thiazolidinediones/chemistry
4.
Biochim Biophys Acta ; 1828(3): 1131-42, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23200789

ABSTRACT

TWIK (tandem-pore domain weak inward rectifying K(+))-related spinal cord K(+) channel, TRESK, a member of the tandem-pore domain K(+) channel family, is the most recently cloned K(2P) channel. TRESK is highly expressed in dorsal root ganglion neuron, a pain sensing neuron, which is a target for analgesics. In this study, a reliable 3D structure for transmembrane (TM) region of mouse TRESK (mTRESK) was constructed, and then the reasonable blocker binding mode of the protein was investigated. The 3D structure of the mTRESK built by homology modeling method was validated with recommend value of stereochemical quality. Based on the validated structure, K(+) channel blocker-bound conformation was obtained by molecular docking and 5ns MD simulation with DPPC lipid bilayer. Our docking study provides the plausible binding mode of known blockers with key interacting residues, especially, F156 and F364. Finally, these modeling results were verified by experimental study with mutation from phenylalanine to alanine (F156A, F364A and F156A/F364A) at the TM2 and TM4. This is the first modeling study for TRESK that can provide structural information of the protein including ligand binding information. These results can be useful in structure based drug design for finding new blockers of the TRESK as potential therapeutic target of pain treatment.


Subject(s)
Potassium Channels/metabolism , 1,2-Dipalmitoylphosphatidylcholine/chemistry , Alanine/chemistry , Amino Acid Sequence , Animals , Binding Sites , DNA Mutational Analysis , Electrophysiology/methods , HEK293 Cells , Humans , Ions , Ligands , Lipid Bilayers/chemistry , Mice , Molecular Conformation , Molecular Dynamics Simulation , Molecular Sequence Data , Mutagenesis, Site-Directed , Phenylalanine/chemistry , Protein Conformation , Sequence Homology, Amino Acid , Transfection
5.
Int J Mol Sci ; 13(4): 5138-5162, 2012.
Article in English | MEDLINE | ID: mdl-22606035

ABSTRACT

11ß-Hydroxysteroid dehydrogenase type1 (11ßHSD1) regulates the conversion from inactive cortisone to active cortisol. Increased cortisol results in diabetes, hence quelling the activity of 11ßHSD1 has been thought of as an effective approach for the treatment of diabetes. Quantitative hypotheses were developed and validated to identify the critical chemical features with reliable geometric constraints that contribute to the inhibition of 11ßHSD1 function. The best hypothesis, Hypo1, which contains one-HBA; one-Hy-Ali, and two-RA features, was validated using Fischer's randomization method, a test and a decoy set. The well validated, Hypo1, was used as 3D query to perform a virtual screening of three different chemical databases. Compounds selected by Hypo1 in the virtual screening were filtered by applying Lipinski's rule of five, ADMET, and molecular docking. Finally, five hit compounds were selected as virtual novel hit molecules for 11ßHSD1 based on their electronic properties calculated by Density functional theory.


Subject(s)
11-beta-Hydroxysteroid Dehydrogenase Type 1/antagonists & inhibitors , Diabetes Mellitus, Type 2/drug therapy , Drug Design , Molecular Docking Simulation , Quantitative Structure-Activity Relationship , Binding Sites/physiology , Cortisone/metabolism , Glucose/metabolism , Humans , Hydrocortisone/biosynthesis , Insulin Resistance , Models, Molecular
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