Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
CNS Neurol Disord Drug Targets ; 7(2): 159-71, 2008 Apr.
Article in English | MEDLINE | ID: mdl-18537644

ABSTRACT

Over the last couple of years, transient receptor potential vanilloid 1(TRPV1) channels have been a hot topic in ion channel research. Since this research field is still rather new, there is not much known about the working mechanism of TRPV1 and its ligands. Nevertheless, the important physiological role and therapeutic potential are promising. Therefore, extensive research is going on and a lot of natural as well as synthetic compounds are already described. In this review, we briefly give an overview of capsaicin's history and the current knowledge of its working mechanism and physiological role. We discuss the best known plant molecules acting on TRPV1 and highlight the latest discovery in TRPV1 research: animal venoms and toxins acting on TRPV1 channels. In an effort to give the complete image of TRPV1 ligands known today, the most promising synthetic compounds are presented. Finally, we present a novel pharmacophore model describing putative ligand binding domains.


Subject(s)
TRPV Cation Channels/antagonists & inhibitors , Xenobiotics/pharmacology , Animals , Capsaicin/analogs & derivatives , Capsaicin/pharmacology , Capsaicin/therapeutic use , Humans , Models, Molecular , Plants/chemistry , TRPV Cation Channels/physiology , Toxins, Biological/pharmacology , Venoms/chemistry , Venoms/pharmacology
2.
J Med Chem ; 44(14): 2333-43, 2001 Jul 05.
Article in English | MEDLINE | ID: mdl-11428927

ABSTRACT

In this work, eight different scoring functions have been combined with the aim of improving the prediction of protein-ligand binding conformations and affinities. The obtained scores were analyzed using multivariate statistical methods to generate expressions, with the ability (1) to select the best candidate between different docked conformations of an inhibitor (MultiSelect) and (2) to quantify the protein-ligand binding affinity (MultiScore). By use of the docking program GOLD, 40 different inhibitors were docked into the active site of three matrix metalloproteinases (MMP's), yielding a total of 120 enzyme-inhibitor complexes. For each complex, a single conformation of the inhibitor was selected using principal component analysis (PCA) for the scores obtained by the eight functions SCORE, LUDI, GRID, PMF_Score, D_Score, G_Score, ChemScore, and F_Score. Binding affinities were estimated based on partial least-squares projections onto latent structures (PLS) on the eight scores of each selected inhibitor conformation. By use of this procedure, R(2) = 0.78 and Q(2) = 0.78 were obtained when comparing experimental and calculated binding affinities. MultiSelect was evaluated by applying the same method for selecting docked conformations for 18 different protein-ligand complexes of known three-dimensional structure. In all cases, the selected ligand conformations were found to be very similar to the experimentally determined ligand conformations. A more general evaluation of MultiScore was performed using a set of 120 different protein-ligand complexes for which both the three-dimensional structures and the binding affinities were known. This approach allowed an evaluation of MultiScore independently of MultiSelect. The generality of the method was verified by obtaining R(2) = 0.68 and Q(2) = 0.67, when comparing calculated and experimental binding affinities for the 120 X-ray structures. In all cases, LUDI, SCORE, GRID, and F_Score were included as important functions, whereas the fifth function was PMF_Score and ChemScore for the MMP and X-ray models, respectively.


Subject(s)
Proteins/chemistry , Crystallography, X-Ray , Ligands , Matrix Metalloproteinase Inhibitors , Matrix Metalloproteinases/chemistry , Models, Molecular , Molecular Conformation , Multivariate Analysis , Protease Inhibitors/chemistry , Protein Binding , Quantitative Structure-Activity Relationship
3.
Curr Med Chem ; 8(8): 967-76, 2001 Jul.
Article in English | MEDLINE | ID: mdl-11375764

ABSTRACT

Pseudopeptide inhibitors of MMP-12 with a phosphinic dipeptide G psi[PO(2)H-CH(2)]L covering the P1-P1'- positions originating from a combinatorial solid phase library have been identified and kinetically analysed with respect to binding mechanism and selectivity towards MMP-7, MMP-9, MMP-13 and MMP-14. One compound with a low nanomolar dissociation constant for MMP-12 showed significantly lower affinity towards all other MMPs tested compared to MMP-12. Two compounds showed selectivity against MMP-9, MMP-13 and MMP-14. One additional compound showed selectivity against MMP-7. The selectivity of these compounds could partly be rationalized by analysis of homology models of the enzymes. Truncated versions of one inhibitor spanning P2 to P2', P3 to P2' or P2 to P3' showed that interactions on both the prime and the non-prime side are important for binding. A two-step binding mechanism, with a rate limiting second step, was shown for binding of a tryptophane containing inhibitor to MMP-12 by transient state analysis, using the tryptophane residue of the inhibitor as fluorescent probe.


Subject(s)
Dipeptides/pharmacology , Metalloendopeptidases/antagonists & inhibitors , Animals , Binding Sites , Dipeptides/chemistry , Matrix Metalloproteinase 12 , Matrix Metalloproteinase 7/metabolism , Matrix Metalloproteinase 9/metabolism , Matrix Metalloproteinase Inhibitors , Matrix Metalloproteinases, Membrane-Associated , Metalloendopeptidases/metabolism , Models, Molecular , Phosphinic Acids/chemistry , Protein Conformation , Rabbits , Recombinant Proteins/antagonists & inhibitors , Recombinant Proteins/metabolism , Structure-Activity Relationship
4.
J Biomol Struct Dyn ; 17(6): 933-46, 2000 Jun.
Article in English | MEDLINE | ID: mdl-10949161

ABSTRACT

Matrix metalloproteinases are extracellular enzymes taking part in the remodeling of extracellular matrix. The structures of the catalytic domain of MMP1, MMP3, MMP7 and MMP8 are known, but structures of enzymes belonging to this family still remain to be determined. A general approach to the homology modeling of matrix metalloproteinases, exemplified by the modeling of MMP2, MMP9, MMP12 and MMP14 is described. The models were refined using an energy minimization procedure developed for matrix metalloproteinases. This procedure includes incorporation of parameters for zinc and calcium ions in the AMBER 4.1 force field, applying a non-bonded approach and a full ion charge representation. Energy minimization of the apoenzymes yielded structures with distorted active sites, while reliable three-dimensional structures of the enzymes containing a substrate in active site were obtained. The structural differences between the eight enzyme-substrate complexes were studied with particular emphasis on the active site, and possible sites for obtaining selectivity among the MMP's are discussed. Differences in the P1' pocket are well-documented and have been extensively exploited in inhibitor design. The present work indicates that selectivity could be further improved by considering the P2 pocket as well.


Subject(s)
Matrix Metalloproteinase 2/chemistry , Matrix Metalloproteinase 9/chemistry , Matrix Metalloproteinases/chemistry , Metalloendopeptidases/chemistry , Amino Acid Sequence , Binding Sites , Calcium/chemistry , Catalytic Domain , Crystallography, X-Ray , Databases, Factual , Humans , Ions , Ligands , Matrix Metalloproteinase 12 , Matrix Metalloproteinases, Membrane-Associated , Microscopy, Electron , Models, Chemical , Models, Molecular , Molecular Sequence Data , Nitrogen/chemistry , Protein Binding , Protein Structure, Secondary , Sequence Homology, Amino Acid , Zinc/chemistry
SELECTION OF CITATIONS
SEARCH DETAIL
...