Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P06889 (Mol)
 630,302 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Three extensions of the basic PCA and PLS methodologies are described. These extensions are hierarchical, non-linear and batch-based in nature. The objectives of these methods are to assist in problem understanding and problem solving in very complex (QSAR) problem formulations. The method extensions are illustrated using two example QSAR data sets containing many X- and Y-variables.
Mol Divers 2006 May
PMID:Megavariate analysis of environmental QSAR data. Part II--investigating very complex problem formulations using hierarchical, non-linear and batch-wise extensions of PCA and PLS. 1680 62

In the present study we analysed the gene expression database provided by the National Cancer Institute in an attempt to correlate activity profiles of geldanamycin, 17AAG and 11 other analogues in 60 human tumor cell lines with their gene expression profiles determined by the cDNA microarray technique. On the basis of the activity profiles two classes of geldanamycin analogues could be distinguished, having geldanamycin and 17AAG, respectively, as prototype compounds (denominated as gelda-like and 17AAG-like classes). Application of the "soft" statistical methodology of PLS (partial least squares modelling in latent variables or projections to latent structures) allowed us to evaluate the influence of each gene expression target in determining the therapeutical responses. The transcript encoding the translocating chain-associated membrane protein (TRAM) showed a significant statistical correlation with activity profiles of 17AAG. In order to validate the role of TRAM in determining sensitivity to 17AAG we induced a selective knocking-down of this transcript by the RNA interference methodology in H226 non-small cell lung carcinoma cell line. The efficiency of double-stranded RNA oligonucleotides (short-interfering RNAs, siRNAs) was determined by measuring TRAM mRNA levels by quantitative real-time RT-PCR at different times (24-72 hours) after siRNA lipotransfection. A significant increase in chemosensitivity to 17AAG was observed in siRNA-silenced cells. Although a number of factors may affect tumour sensitivity to 17AAG the present methodology allowed us to dissect out a single parameter which may be partly responsible for its activity.
Mol Biosyst 2006 May
PMID:Identification of genes involved in the sensitivity to antitumour drug 17-allylamino,17-demethoxygeldanamycin (17AAG). 1688 Sep 41

The effect of aging and development in male Wistar-derived rats on the profile of endogenous metabolites excreted in the urine was investigated using both (1)H NMR spectroscopy and HPLC-TOF MS using electrospray ionisation (ESI). The endogenous metabolites were profiled in samples collected from male rats every two weeks from just after weaning at 4 weeks up to 20 weeks of age. Multivariate data analysis enabled clusters to be visualised within the data according to age, with urine collected at 4 and 6 weeks showing the greatest differences by both analytical techniques. Markers detected by (1)H NMR spectroscopy included creatinine, taurine, hippurate and resonances associated with amino acids/fatty acids, which increased with age, whilst citrate and resonances resulting from glucose/myoinositol declined. A number of ions were detected by HPLC-MS that were only present in urine samples at 4 weeks of age in both positive and negative ESI, with a range of ions, including e.g. carnitine, increasing with age. Age predictions by PLS-regression modelling demonstrated an age-related trend within these data, between 4 and 12 weeks for HPLC-MS and 4-16 weeks for NMR. The possible utility of these techniques for metabonomic investigations of age-related changes in the rat is discussed and the importance of employing suitable control animals in pharmacological and toxicological studies is highlighted.
Mol Biosyst 2005 Jul
PMID:The metabonomics of aging and development in the rat: an investigation into the effect of age on the profile of endogenous metabolites in the urine of male rats using 1H NMR and HPLC-TOF MS. 1688 Sep 80

A novel approach termed comparative residue-interaction analysis (CoRIA), emphasizing the trends and principles of QSAR in a ligand-receptor environment has been developed to analyze and predict the binding affinity of enzyme inhibitors. To test this new approach, a training set of 36 COX-2 inhibitors belonging to nine families was selected. The putative binding (bioactive) conformations of inhibitors in the COX-2 active site were searched using the program DOCK. The docked configurations were further refined by a combination of Monte Carlo and simulated annealing methods with the Affinity program. The non-bonded interaction energies of the inhibitors with the individual amino acid residues in the active site were then computed. These interaction energies, plus specific terms describing the thermodynamics of ligand-enzyme binding, were correlated to the biological activity with G/PLS. The various QSAR models obtained were validated internally by cross validation and boot strapping, and externally using a test set of 13 molecules. The QSAR models developed on the CoRIA formalism were robust with good r (2), q (2) and r (pred) (2) values. The major highlights of the method are: adaptation of the QSAR formalism in a receptor setting to answer both the type (qualitative) and the extent (quantitative) of ligand-receptor binding, and use of descriptors that account for the complete thermodynamics of the ligand-receptor binding. The CoRIA approach can be used to identify crucial interactions of inhibitors with the enzyme at the residue level, which can be gainfully exploited in optimizing the inhibitory activity of ligands. Furthermore, it can be used with advantage to guide point mutation studies. As regards the COX-2 dataset, the CoRIA approach shows that improving Coulombic interaction with Pro528 and reducing van der Waals interaction with Tyr385 will improve the binding affinity of inhibitors.
J Comput Aided Mol Des 2006 Jun
PMID:Comparative residue interaction analysis (CoRIA): a 3D-QSAR approach to explore the binding contributions of active site residues with ligands. 1700 94

Based primarily on further studies of a collection of eleven publications reporting fifteen successful 3D-QSAR relations, several phenomena are preliminarily described. The RMS error of 133 ligand binding energy predictions based on these successful 3D-QSARs is 0.75 kcal/mole, which compares favorably to the prediction accuracies of approaches that include the receptor. A similar result is obtained when topomer alignments are substituted for those published, with seemingly profound implications for the future of 3D-QSAR. The "alignment-averaged" molecular properties, log P and molar refractivity, have very little correlative power for these data sets, either alone or in combination with the 3D-QSAR field descriptors. The q (2 )metric for the number of PLS components necessarily tends to discard any unique or unconfirmed SAR information. Large drops in q (2) are thus to be expected whenever such unique information is first encountered. Predictive r (2) values from an exploratory new "series trajectory" analysis of these 3D-QSAR though highly variable do not differ much from their q (2) values, a phenomenon that seems to encourage prediction even when there are so few structures underlying a 3D-QSAR so that almost all information is unique.
J Comput Aided Mol Des
PMID:Pushing the boundaries of 3D-QSAR. 1725 17

In this work, a novel strategy was constructed to determine the enantiomeric composition of chiral substances discriminated by bovine serum albumin (BSA) based on the UV-vis spectra of the receptor-ligand mixtures coupled with partial least squares (PLS-1) analysis. Taking tryptophan (Trp) enantiomer as an example, when 20 microM BSA was used, the enantiomeric composition was accurately determined with concentration of only 100 nM and the corresponding enantiomeric excess as high as 98% (or -98%), which is relatively more sensitive than in literature. Furthermore, the BSA-based approach was also used to predict the enantiomeric composition of other chiral compounds, such as phenylalanine (Phe), tyrosine (Tyr), alanine (Ala), cysteine (Cys), DOPA and propranolol (Prop). The results fully demonstrate that BSA is effective in determination of enantiomeric composition of some chiral compounds.
Spectrochim Acta A Mol Biomol Spectrosc 2007 Oct
PMID:A novel strategy for the determination of enantiomeric compositions of chiral compounds by chemometric analysis of the UV-vis spectra of bovine serum albumin receptor-ligand mixtures. 1735 Aug 80

In this project, several docking conditions, scoring functions and corresponding protein-aligned molecular field analysis (CoMFA) models were evaluated for a diverse set of neuraminidase (NA) inhibitors. To this end, a group of inhibitors were docked into the active site of NA. The docked structures were utilized to construct a corresponding protein-aligned CoMFA models by employing probe-based (H+, OH, CH3) energy grids and genetic partial least squares (G/PLS) statistical analysis. A total of 16 different docking configurations were evaluated, of which some succeeded in producing self-consistent and predictive CoMFA models. However, the best model coincided with docking the ionized ligands into the hydrated form of the binding site via PLP1 scoring function (r2LOO=0.735, r2PRESS against 24 test compounds=0.828). The highest-ranking CoMFA models were employed to probe NA-ligand interactions. Further validation by comparison with a co-crystallized ligand-NA crystallographic structure was performed. This combination of docking/scoring/CoMFA modeling provided interesting insights into the binding of different NA inhibitors.
J Mol Graph Model 2007 Sep
PMID:Combining docking, scoring and molecular field analyses to probe influenza neuraminidase-ligand interactions. 1736 Feb 7

A novel approach of combining flexible molecular docking, GRID molecular interaction fields, analysis of ligand-protein hydrogen bond interactions, conformational energy penalties and 3D-QSAR analysis was used to propose a binding mode in the dimer interface of the iGluR2 receptor for the biarylpropylsulfonamide class of positive allosteric AMPA modulators. Possible binding poses were generated by flexible molecular docking. GRID molecular interaction fields of the binding site, ligand-protein hydrogen bonding interactions and conformational energy penalties were used to select the most likely binding mode. The selected binding poses were subjected to a 3D-QSAR analysis using previously published activity data. The resulting model (2 LVs, R2=0.89, q2=0.61) predicted the activities of the compounds in the test set with a standard deviation on error of prediction of 0.17. The proposed binding mode was validated by interpretation of the PLS-coefficient regions from the 3D-QSAR analysis in terms of interactions between the receptor and the modulators.
J Mol Graph Model 2008 Jan
PMID:Prediction of the binding mode of biarylpropylsulfonamide allosteric AMPA receptor modulators based on docking, GRID molecular interaction fields and 3D-QSAR analysis. 1764 44

We have used multivariate statistics and z-scales to represent peptide sequences in a PLS-QSAR model of previously studied binding affinities [Kofler,M., Motzny,K. and Freund,C. (2005b) Mol. Cell. Proteomics, 4, 1797-1811.] of two GYF domains to an array of immobilized synthetic peptides. As a result, we established structural determinants of the binding specificities of the two proteins. Our model was used to define new sets of yeast proteins potentially interacting with Syh1 (YPL105C) and Smy2 (YBR172C). These sets were subsequently examined for co-occurrence of Gene Ontology terms, leading to suggest a group of likely interacting proteins with a common function in mRNA catabolism. Finally, subcellular localization of a GFP-fused Syh1 and Smy2 reinforced the possibility that these proteins reside in cytoplasmic sites of mRNA degradation, thereby providing experimental confirmation to the predictions from the model.
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PMID:Binding specificities of the GYF domains from two Saccharomyces cerevisiae paralogs. 1780 96

High-performance liquid chromatography (HPLC) and multivariate spectrophotometric methods are described for the simultaneous determination of ambroxol hydrochloride (AM) and doxycycline (DX) in combined pharmaceutical capsules. The chromatographic separation was achieved on reversed-phase C(18) analytical column with a mobile phase consisting of a mixture of 20mM potassium dihydrogen phosphate, pH 6-acetonitrile in ratio of (1:1, v/v) and UV detection at 245 nm. Also, the resolution has been accomplished by using numerical spectrophotometric methods as classical least squares (CLS), principal component regression (PCR) and partial least squares (PLS-1) applied to the UV spectra of the mixture and graphical spectrophotometric method as first derivative of the ratio spectra ((1)DD) method. Analytical figures of merit (FOM), such as sensitivity, selectivity, analytical sensitivity, limit of quantitation and limit of detection were determined for CLS, PLS-1 and PCR methods. The proposed methods were validated and successfully applied for the analysis of pharmaceutical formulation and laboratory-prepared mixtures containing the two component combination.
Spectrochim Acta A Mol Biomol Spectrosc 2008 Aug
PMID:HPLC and chemometrics-assisted UV-spectroscopy methods for the simultaneous determination of ambroxol and doxycycline in capsule. 1793 62


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