Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound

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Query: EC:3.4.21.4 (trypsin)
42,187 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Fourteen popular scoring functions, i.e., X-Score, DrugScore, five scoring functions in the Sybyl software (D-Score, PMF-Score, G-Score, ChemScore, and F-Score), four scoring functions in the Cerius2 software (LigScore, PLP, PMF, and LUDI), two scoring functions in the GOLD program (GoldScore and ChemScore), and HINT, were tested on the refined set of the PDBbind database, a set of 800 diverse protein-ligand complexes with high-resolution crystal structures and experimentally determined Ki or Kd values. The focus of our study was to assess the ability of these scoring functions to predict binding affinities based on the experimentally determined high-resolution crystal structures of proteins in complex with their ligands. The quantitative correlation between the binding scores produced by each scoring function and the known binding constants of the 800 complexes was computed. X-Score, DrugScore, Sybyl::ChemScore, and Cerius2::PLP provided better correlations than the other scoring functions with standard deviations of 1.8-2.0 log units. These four scoring functions were also found to be robust enough to carry out computation directly on unaltered crystal structures. To examine how well scoring functions predict the binding affinities for ligands bound to the same target protein, the performance of these 14 scoring functions were evaluated on three subsets of protein-ligand complexes from the test set: HIV-1 protease complexes (82 entries), trypsin complexes (45 entries), and carbonic anhydrase II complexes (40 entries). Although the results for the HIV-1 protease subset are less than desirable, several scoring functions are able to satisfactorily predict the binding affinities for the trypsin and the carbonic anhydrase II subsets with standard deviation as low as 1.0 log unit (corresponding to 1.3-1.4 kcal/mol at room temperature). Our results demonstrate the strengths as well as the weaknesses of current scoring functions for binding affinity prediction.
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PMID:An extensive test of 14 scoring functions using the PDBbind refined set of 800 protein-ligand complexes. 1555 82

We have undertaken to continue the proteomic study of human umbilical vein endothelial cells (HUVECs) using the combination of 2-DE, automated trypsin digestion, and PMF analysis after MALDI-TOF MS and peptide sequencing using nano LC-ESI-MS/MS. The overall functional characterization of the 162 identified proteins from primary cultures of HUVECs confirms the metabolic capabilities of endothelium and illustrates various cellular functions more related to cell motility and angiogenesis, protein folding, anti-oxidant defenses, signal transduction, proteasome pathway and resistance to apoptosis. In comparison with controls cells, the differential proteomic analysis of HUVECs treated by the pro-apoptotic topoisomerase inhibitor etoposide further revealed the variation of eight proteins, namely, GRP78, GRP94, valosin-containing protein, proteinase inhibitor 9, cofilin, 37-kDa laminin receptor protein, bovine apolipoprotein, and tropomyosin. These data suggest that etoposide-induced apoptosis of human vascular endothelial cells results from the intricate involvement of multiple apoptosis processes including at least the mitochondrial and the ER stress pathways. The presented 2-D pattern and protein database, as well as the data related to apoptosis of HUVECs, are available at http://www.huvec.com.
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PMID:Proteomics of human umbilical vein endothelial cells applied to etoposide-induced apoptosis. 1613 Jan 69

Secreted proteins of the human pathogen Corynebacterium diphtheriae might be involved in important pathogen-host cell interactions. Here, we present the first systematic reference map of the extracellular and cell surface proteome fractions of the type strain C. diphtheriae C7s(-)tox-. The analysis window of 2-DE covered the pI range from 3 to 10 along with a MW range from 8 to 150 kDa. Computational analysis of the 2-D gels detected almost 150 protein spots in the extracellular proteome fraction and about 80 protein spots of the cell surface proteome. MALDI-TOF-MS and PMF with trypsin unambiguously identified 107 extracellular protein spots and 53 protein spots of the cell surface, representing in total 85 different proteins of C. diphtheriae C7s(-)tox-. Several of the identified proteins are encoded by pathogenicity islands and might represent virulence factors of C. diphtheriae. Additionally, four solute-binding proteins (HmuT, Irp6A, CiuA, and FrgD) of different iron ABC transporters were identified, with the hitherto uncharacterized FrgD protein being the most abundant one of the cell surface proteome of C. diphtheriae C7s(-)tox-.
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PMID:Mapping and comprehensive analysis of the extracellular and cell surface proteome of the human pathogen Corynebacterium diphtheriae. 1654 77

As the new fluorescent stains such as SyproRuby and DeepPurple are getting widespread recognition for proteome analyses by the traditional 2-D gel method, it becomes important to test the feasibility of these stains with respect to staining reproducibility, protein quantitation, and compatibility of the stain with downstream MS. The binding of epicocconone, active ingredient of DeepPurple, to one of the primary cleavage sites of trypsin (lysine residue) raises the possibility of incomplete cleavage and interference with PMF. However, the current study tests and concludes that the DeepPurple stain can result in increased peptide recovery compared to SyproRuby stain and can improve MS-based identification of lower intensity proteins spots.
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PMID:Effect of staining reagent on peptide mass fingerprinting from in-gel trypsin digestions: a comparison of SyproRuby and DeepPurple. 1680 26

Previously, we have reported a high-efficiency method of protein extraction from CBB-stained polyacrylamide gels for molecular mass measurement with MALDI-TOF MS [1]. In the present work, the alkaline extraction method was applied to CBB-stained 2-DE gels on which human plasma proteins were separated in the absence of denaturant. In order to examine the performance of the method, ten spots with apparent molecular masses (MMapp) in the range of 65 to 1000 kDa were selected and the proteins were extracted from the gel pieces. The extracts were subjected to whole-mass measurement by MALDI-TOF MS, with and without DTT treatment. In addition, the extracts were subjected to in-solution trypsin digestion followed by MALDI-TOF MS and PMF analysis. Successful extraction of proteins from the ten spots, up to MMapp 1000 kDa, has been ascertained by the significant PMF assignment (MASCOT) with high sequence coverage of the respective proteins or polypeptides. When direct mass measurement of the extracted proteins was attempted, three spots in MMapp range 65-100 kDa provided mass peaks. Five spots in MMapp range 150-400 kDa did not give mass peaks of the intact proteins, but showed those of the constituent polypeptides after the DTT treatment. Extraction of proteins prior to trypsin digestion enabled the procedure of PMF analysis to be much simpler than the conventional in-gel digestion method, providing comparable protein scores and sequence coverage. The technique presented here suggests a new strategy for the characterization of proteins separated by nondenaturing 2-DE.
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PMID:Alkaline extraction of human plasma proteins from nondenaturing micro-2-D gels for protein/polypeptide mass measurement and peptide mass fingerprinting using MALDI-TOF MS. 1719 Dec 81

PMF is one of the major methods for protein identification using the MS technology. It is faster and cheaper than MS/MS. Although PMF does not differentiate trypsin-digested peptides of identical mass, which makes it less informative than MS/MS, current computational methods for PMF have the potential to improve its detection accuracy by better use of the information content in PMF spectra. We developed a number of new probability-based scoring functions for PMF protein identification based on the MOWSE algorithm. We considered a detailed distribution of matching masses in a protein database and peak intensity, as well as the likelihood of peptide matches to be close to each other in a protein sequence. Our computational methods are assessed and compared with other methods using PMF data of 52 gel spots of known protein standards. The comparison shows that our new scoring schemes have higher or comparable accuracies for protein identification in comparison to the existing methods. Our software is freely available upon request. The scoring functions can be easily incorporated into other proteomics software packages.
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PMID:Development and assessment of scoring functions for protein identification using PMF data. 1726 38

Human plasma proteins were separated by 2-DE under nondenaturing conditions followed by the assignment of the CBB-stained spots using MALDI-MS and PMF, aiming to correlate the information of intact proteins with that of constituent polypeptides. A microgel system was employed to facilitate the analysis. Totally 157 spots on a nondenaturing micro-2-DE gel were numbered, the spots were excised, the proteins in the gel pieces were subjected to in-gel digestion with trypsin followed by polypeptide analysis using MALDI-MS and PMF. Two PMF algorithms, MASCOT (with Swiss-Prot database) and ProFound (with NCBInr database) were employed. A total of 153 spots out of the 157 provided significant match (p <0.05) with polypeptides in databases. Eighty spots were assigned to contain multiple (2-4) polypeptides, suggesting (i) noncovalent interaction between proteins/polypeptides, (ii) disulfide bonding of polypeptides, or (iii) overlapping of the protein locations on the gel. The results of polypeptide assignment coincided very well with the results of protein mapping previously reported, in which 33 plasma proteins were identified using blotting-immunochemical staining (Manabe, T., Takahashi, Y., Higuchi, N., Okuyama, T., Electrophoresis 1985, 6, 462-467). Further, 19 polypeptides in 25 spots were newly assigned. These results demonstrate that the techniques of MALDI-MS and PMF can be applied for analysis of proteins separated on nondenaturing 2-DE gels, providing information on their polypeptide structure. The integrated information on proteins and polypeptides would help the comprehensive understanding on the functions of complex protein systems.
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PMID:Assignment of human plasma polypeptides on a nondenaturing 2-D gel using MALDI-MS and PMF and comparisons with the results of intact protein mapping. 1727 1

Both top-down (combining protein separation with MS analysis of intact proteins) and bottom-up (MS analysis of digested proteins) proteomic approaches were used for detailed characterization of nonspecific lipid transfer protein from barley malt. The aim was obtaining high-coverage of the primary structure of the proteins and the determination of PTMs such as lipid adduction and glycation. Here we present an influence of 15 proteomic protocols (differing in applied separation technique, enzyme and digestion procedure) on the extent of the coverage of the protein primary structure. The most successful protocols were in-gel digestion with trypsin of alkylated protein and in-solution digestions with trypsin or trypsin/chymotrypsin mixture of the nonalkylated protein. Totally, full sequence coverage based on the PMF and 85% sequence coverage based on the peptide fragmentation including PTMs was obtained.
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PMID:Influence of different proteomic protocols on degree of high-coverage identification of nonspecific lipid transfer protein 1 modified during malting. 1915 68

The sequencing of the moss Physcomitrella patens genome has facilitated studies of the plant proteome. To develop a proteome reference map based on the genome sequence, we conducted 2D electrophoreses of proteins extracted from moss protoplasts, protonemata, and gametophores grown under standard conditions on Petri dishes. On silver-stained gels, depending on the developmental stage of the moss, we resolved from 500 to 600 protein spots that were then excised and digested by trypsin, and 212 proteins were identified by PMF-MALDI-TOF. To enhance the proteome coverage, we performed 1D SDS-PAGE with subsequent separation of tryptic peptides derived from digested gel band slices by LC-ESI-MS/MS. The proposed approach allowed us to identify 186 proteins had not been determined by 2D PMF-MALDI-TOF. Proteins identified by both methods were categorized using a system of clusterization of orthologous genes as metabolism (26%), cellular processes and signaling (16%), and information storage and processing (7%). Proteome analysis by differential gel electrophoresis revealed moderate differences between filamentous protonemata and leafy shoots. Surprisingly, protoplasts isolated from protonema filaments displayed significant differences in protein composition compared with both protonemata and gametophores.
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PMID:Proteome analysis of the moss Physcomitrella patens (Hedw.) B.S.G. 1953 21

Charge derivatization with succinimidyloxycarbonylmethyl tris(2,4,6-trimethoxyphenyl)phosphonium bromide (TMPP-Ac-OSu) has great potential in several aspects of proteomics, such as peptide de novo sequencing, PTM analysis, etc. However, the excess reagent and its side products greatly limited its scope of use. Here, we report an improved method to perform charge derivatization of peptides by TMPP-Ac-OSu without interference from the excess reagent and corresponding side products. Briefly, the protein was first separated on sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) or coagulated with the gel. The protein in-gel was then incubated with a high concentration of reagent, followed by extensive washing. Afterwards, the protein was in-gel digested with trypsin according to the routine protocol. The mainly resultant peptides were attached with one positive tag on the N-termini or Lys-epsilon-NH(2). The process has been successfully applied to 2-DE resolved protein spots. Compared to the native proteins, the derivatized counterparts have higher rates of PMF identification and more straightforward tandem mass spectra. This promising method should pave the way for the practical use of charge derivatization in proteomics.
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PMID:Efficient and clean charge derivatization of peptides for analysis by mass spectrometry. 2053 16


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