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Certain protein kinase C (PKC) isotypes are localized to the nucleus during cellular proliferation in murine erythroid cells, as well as in human promyelocytic leukemia and erythroleukemia cells. Because the structure of these PKC isotypes contains a conserved cysteine-rich region that contains the zinc finger DNA binding motif, we tested the hypothesis that selected PKC isotypes found in Friend erythroleukemia cells can bind to DNA. Cell lysates from murine Friend erythroleukemia cells, which express , I, and II PKC, expressed greater amounts of the isoforms than the isoform of PKC in their nuclei, and PKC I was found in the chromatin of these cells. Lysates of these cells were tested for their ability to bind to a DNA-cellulose columm. Bound proteins were eluted with a step gradient of increasing KCl concentrations, and eluant fractions were then subjected to immunoblot analysis using isotype-specific antibodies to the and I isotypes of PKC. DNA binding was detected for the PKC I isotype, which is present in the nucleus, but not for the more abundant PKC isotype, which resides primarily in the cytoplasm. These results demonstrate that PKC can associate with DNA, and that this association is isotype specific in Friend erythroleukemia cells. (Mol Cell Biochem151: 107–111, 1995)  相似文献   

3.
Lysine acetylation is an essentially reversible and high regulated post-translational modification which regulates diverse protein properties. Experimental identification of acetylation sites is laborious and expensive. Hence, there is significant interest in the development of computational methods for reliable prediction of acetylation sites from amino acid sequences. In this paper we use an ensemble of support vector machine classifiers to perform this work. The experimentally determined acetylation lysine sites are extracted from Swiss-Prot database and scientific literatures. Experiment results show that an ensemble of support vector machine classifiers outperforms single support vector machine classifier and other computational methods such as PAIL and LysAcet on the problem of predicting acetylation lysine sites. The resulting method has been implemented in EnsemblePail, a web server for lysine acetylation sites prediction available at http://www.aporc.org/EnsemblePail/.  相似文献   

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Predicting the subcellular localization of proteins is an important and challenging problem. Traditional experimental approaches are often expensive and time‐consuming. Consequently, a growing number of research efforts employ a series of machine learning approaches to predict the subcellular location of proteins. There are two main challenges among the state‐of‐the‐art prediction methods. First, most of the existing techniques are designed to deal with multi‐class rather than multi‐label classification, which ignores connections between multiple labels. In reality, multiple locations of particular proteins imply that there are vital and unique biological significances that deserve special focus and cannot be ignored. Second, techniques for handling imbalanced data in multi‐label classification problems are necessary, but never employed. For solving these two issues, we have developed an ensemble multi‐label classifier called HPSLPred, which can be applied for multi‐label classification with an imbalanced protein source. For convenience, a user‐friendly webserver has been established at http://server.malab.cn/HPSLPred.  相似文献   

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Binding of nuclear proteins to the promoter region was studied by a nonradioactive gel-retardation assay. The procedure uses biotinylated oligonucleotides in combination with streptavidin and biotin-conjugated alkaline phosphatase. This method offers sensitivity comparable to radioactive detection, and the advantage of the high stability of probes. Moreover the hazards of usage associated with radiation are avoided.  相似文献   

7.
Using ultraviolet light, both the 33,000-dalton single-stranded DNA-binding protein from T4 bacteriophage (gp32) as well as a 25,000-dalton limited trypsin cleavage product of gp32 (core gp32*) that retains high affinity for single-stranded DNA can be crosslinked to an oligodeoxynucleotide, p(dT)8. After photolysis, a single tryptic peptide crosslinked to p(dT)8 was isolated by anion-exchange high-performance liquid chromatography. Gas-phase sequencing of this modified peptide gave the following sequence: Gln-Val-Ser-Gly-(X)-Ser-Asn-Tyr-Asp-Glu-Ser-Lys, which corresponds to residues 179-190 in gp32. Based on the absence of the expected phenylthiohydantoin derivative of phenylalanine 183 at cycle 5 (X) we infer that crosslinking has occurred at this position and that phenylalanine 183 is at the interface of the gp32:p(dT)8 complex in an orientation that allows covalent bond formation with the thymine radical produced by ultraviolet irradiation.  相似文献   

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《IRBM》2020,41(5):241-251
Respiratory scoring is an important step in the diagnosis of Obstructive Sleep Apnea (OSA). Airflow, abdolmel-thorax and pulse oximetry signals are obtained with the help of Polysomnography (PSG) device for the respiration scoring stage. These signals are visually scored by a specialist physician. The PSG has several disadvantages: one of them is that a technician is required to use the device. In addition, the records must be taken in the hospital environment. The aim of this study is to develop a new machine learning based hybrid sleep/awake detection method with single channel ECG alternative to respiratory scoring. For this purpose, electrocardiography (ECG) signal of 10 patients with OSA was used. The Heart Rate Variable signal was derived from the ECG signal. Then, QRS components in different frequency bands were obtained from ECG signal by digital filtering. In this way, a total of nine more signals were obtained. Each of the nine signals consists of 25 features, which amounts to a total of 225 features. Fisher feature selection algorithm and Principal Component Analysis (PCA) were used to reduce the number of features. Ultimately the features extracted from the first received signals were classified with Decision Tree, Support Vector Machines, k-Nearest Neighborhood Algorithm and Ensemble classifiers. In addition, the proposed model was checked with the Leave One Out method. At the end of the study, for the detection of apnea, 82.11% accuracy with only 3 features and 85.12% accuracy with 13 features were obtained. The sensitivity and specificity values for the 3 properties are 0.82 and 0.82, respectively. For the 13 properties, 0.85 and 0.86, respectively. These results show that the proposed model can be used for the detection of Respiratory Scoring in the OSA diagnostic process.  相似文献   

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Ecologists collect their data manually by visiting multiple sampling sites. Since there can be multiple species in the multiple sampling sites, manually classifying them can be a daunting task. Much work in literature has focused mostly on statistical methods for classification of single species and very few studies on classification of multiple species. In addition to looking at multiple species, we noted that classification of multiple species result in multi-class imbalanced problem. This study proposes to use machine learning approach to classify multiple species in population ecology. In particular, bagging (random forests (RF) and bagging classification trees (bagCART)) and boosting (boosting classification trees (bootCART), gradient boosting machines (GBM) and adaptive boosting classification trees (AdaBoost)) classifiers were evaluated for their performances on imbalanced multiple fish species dataset. The recall and F1-score performance metrics were used to select the best classifier for the dataset. The bagging classifiers (RF and bagCART) achieved high performances on the imbalanced dataset while the boosting classifiers (bootCART, GBM and AdaBoost) achieved lower performances on the imbalanced dataset. We found that some machine learning classifiers were sensitive to imbalanced dataset hence they require data resampling to improve their performances. After resampling, the bagging classifiers (RF and bagCART) had high performances compared to boosting classifiers (bootCART, GBM and AdaBoost). The strong performances shown by bagging classifiers (RF and bagCART) suggest that they can be used for classifying multiple species in ecological studies.  相似文献   

10.
The physiological role of the nonspecific DNA-binding protein Sso7d from the crenarchaeon Sulfolobus solfataricus is unknown. In vitro studies have shown that Sso7d promotes annealing of complementary DNA strands (Guagliardi et al. 1997), induces negative supercoiling (Lopez-Garcia et al. 1998), and chaperones the disassembly and renaturation of protein aggregates in an ATP hydrolysis-dependent manner (Guagliardi et al. 2000). In this study, we examined the relationships among the binding of Sso7d to double-stranded DNA, its interaction with protein aggregates, and its ATPase activity. Experiments with 1-anilinonaphthalene-8-sulfonic acid as probe demonstrated that exposed hydrophobic surfaces in Sso7d are responsible for interactions with protein aggregates and double-stranded DNA, whereas the site of ATPase activity has a non-hydrophobic character. The interactions of Sso7d with double-stranded DNA and with protein aggregates are mutually exclusive events, suggesting that the disassembly activity and the DNA-related activities of Sso7d may be competitive in vivo. In contrast, the hydrolysis of ATP by Sso7d is independent of the binding of Sso7d to double-stranded DNA or protein aggregates.  相似文献   

11.
By incorporating the information of gene ontology, functional domain, and sequential evolution, a new predictor called Gneg-mPLoc was developed. It can be used to identify Gram-negative bacterial proteins among the following eight locations: (1) cytoplasm, (2) extracellular, (3) fimbrium, (4) flagellum, (5) inner membrane, (6) nucleoid, (7) outer membrane, and (8) periplasm. It can also be used to deal with the case when a query protein may simultaneously exist in more than one location. Compared with the original predictor called Gneg-PLoc, the new predictor is much more powerful and flexible. For a newly constructed stringent benchmark dataset in which none of proteins included has ≥25% pairwise sequence identity to any other in a same subset (location), the overall jackknife success rate achieved by Gneg-mPLoc was 85.5%, which was more than 14% higher than the corresponding rate by the Gneg-PLoc. As a user friendly web-server, Gneg-mPLoc is freely accessible at http://www.csbio.sjtu.edu.cn/bioinf/Gneg-multi/.  相似文献   

12.
Predicting subcellular localization of human proteins is a challenging problem, particularly when query proteins may have a multiplex character, i.e., simultaneously exist at, or move between, two or more different subcellular location sites. In a previous study, we developed a predictor called “Hum-mPLoc” to deal with the multiplex problem for the human protein system. However, Hum-mPLoc has the following shortcomings. (1) The input of accession number for a query protein is required in order to obtain a higher expected success rate by selecting to use the higher-level prediction pathway; but many proteins, such as synthetic and hypothetical proteins as well as those newly discovered proteins without being deposited into databanks yet, do not have accession numbers. (2) Neither functional domain nor sequential evolution information were taken into account in Hum-mPLoc, and hence its power may be reduced accordingly. In view of this, a top-down strategy to address these shortcomings has been implemented. The new predictor thus obtained is called Hum-mPLoc 2.0, where the accession number for input is no longer needed whatsoever. Moreover, both the functional domain information and the sequential evolution information have been fused into the predictor by an ensemble classifier. As a consequence, the prediction power has been significantly enhanced. The web server of Hum-mPLoc2.0 is freely accessible at http://www.csbio.sjtu.edu.cn/bioinf/hum-multi-2/.  相似文献   

13.
通过wx基因转录起始点上游2120bp长的DNA序列的测定,用不同的限制性内切酶对此片段进行消化,获得15个大小不同的DNA片段并构建成不同的亚克隆。这些片段经32P标记后分别做探针同水稻不同组织来源的核蛋白进行凝胶滞后实验和特异的竞争实验,表明HinfIa-2、HinfIc-1、HinfIc-2、HinfId、RsaIa和RsaIe(RsaIa片段与HinfIa、HinfIc片段重叠)片段能与从未成熟的水稻种子中抽提的核蛋白结合。  相似文献   

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Sac7d is a hyperthermophile chromatin protein which binds non-specifically to the minor groove of duplex DNA and induces a sharp kink of 66 degrees with intercalation of valine and methionine side-chains. We have utilized the thermal stability of Sac7d and the lack of sequence specificity to define the thermodynamics of DNA binding over a wide temperature range. The binding affinity for poly(dGdC) was moderate at 25 degrees C (Ka = 3.5(+/-1.6) x 10(6) M(-1)) and increased by nearly an order of magnitude from 10 degrees C to 80 degrees C. The enthalpy of binding was unfavorable at 25 degrees C, and decreased linearly from 5 degrees C to 60 degrees C. A positive binding heat at 25 degrees C is attributed in part to the energy of distorting DNA, and ensures that the temperature of maximal binding affinity (75.1+/-5.6 degrees C) is near the growth temperature of Sulfolobus acidocaldarius. Truncation of the two intercalating residues to alanine led to a decreased ability to bend and unwind DNA at 25 degrees C with a small decrease in binding affinity. The energy gained from intercalation is slightly greater than the free energy penalty of bending duplex DNA. Surprisingly, reduced distortion from the double alanine substitution did not lead to a significant decrease in the heat of binding at 25 degrees C. In addition, an anomalous positive DeltaCp of binding was observed for the double alanine mutant protein which could not be explained by the change in polar and apolar accessible surface areas. Both the larger than expected binding enthalpy and the positive heat capacity can be explained by a temperature dependent structural transition in the protein-DNA complex with a Tm of 15-20 degrees C and a DeltaH of 15 kcal/mol. Data are discussed which indicate that the endothermic transition in the complex is consistent with DNA distortion.  相似文献   

16.
Mycobacterium smegmatis Dps degrades spontaneously into a species in which 16 C-terminal residues are cleaved away. A second species, in which all 26 residues constituting the tail were deleted, was cloned, expressed and purified. The first did not bind DNA but formed dodecamers like the native protein, while the second did not bind to DNA and failed to assemble into dodecamers, indicating a role in assembly also for the tail. In the crystal structure of the species without the entire C-terminal tail the molecule has an unusual open decameric structure resulting from the removal of two adjacent subunits from the original dodecameric structure of the native form. A Dps dodecamer could assemble with a dimer or one of two trimers (trimer-A and trimer-B) as intermediate. Trimer-A is the intermediate species in the M. smegmatis protein. Estimation of the surface area buried on trimerization indicates that association within trimer-B is weak. It weakens further when the C-terminal tail is removed, leading to the disruption of the dodecameric structure. Thus, the C-terminal tail has a dual role, one in DNA binding and the other in the assembly of the dodecamer. M. smegmatis Dps also has a short N-terminal tail. A species with nine N-terminal residues deleted formed trimers but not dodecamers in solution, unlike wild-type M. smegmatis Dps, under the same conditions. Unlike in solution, the N-terminal mutant forms dodecamers in the crystal. In native Dps, the N-terminal stretch of one subunit and the C-terminal stretch of a neighboring subunit lock each other into ordered positions. The deletion of one stretch results in the disorder of the other. This disorder appears to result in the formation of a trimeric species of the N-terminal deletion mutant contrary to the indication provided by the native structure. The ferroxidation site is intact in the mutants.  相似文献   

17.
Replication protein A (RPA) consisting of three subunits is a eukaryotic single-stranded DNA (ssDNA)-binding protein involved in DNA replication, repair and recombination. We report here the identification and characterization of a RPA large subunit (CpRPA1) gene from the apicomplexan Cryptosporidium parvum. The CpRPA1 gene encodes a 53.9-kDa peptide that is remarkably smaller than that from other eukaryotes (i.e. approximately 70 kDa) and is actively expressed in both free sporozoites and parasite intracellular stages. This short-type RPA large subunit has also been characterized from one other protist, Crithidia fasciculata. Three distinct domains have been identified in the RPA large subunit of humans and yeasts: an N-terminal protein interaction domain, a central ssDNA-binding area, and a C-terminal subunit-interacting region. Sequence analysis reveals that the short-type RPA large subunit differs from that of other eukaryotes in that only the domains required for ssDNA binding and heterotrimer formation are present. It lacks the N-terminal domain necessary for the binding of proteins mainly involved in DNA repair and recombination. This major structural difference suggests that the mechanism for DNA repair and recombination in some protists differs from that of other eukaryotes. Since replication proteins play an essential role in the cell cycle, the fact that RPA proteins of C. parvum differ from those of its host suggests that RPA be explored as a potential chemotherapeutic target for controlling cryptosporidiosis and/or diseases caused by other apicomplexans.  相似文献   

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周雅  高贝  张道远 《生物信息学》2014,12(4):233-241
从齿肋赤藓转录组数据库出发,共得到39条注释的早期光诱导蛋白Sc ELIPs unigene,其中2条(Sc ELIP1与Sc ELIP2)具有完整ORF。利用多种生物信息学分析工具,对这2条Sc ELIPs序列的同源性、理化性质、保守域、信号肽、疏水性、亚细胞定位、二级结构、跨膜结构、三维结构、活性位点等方面进行分析。结果表明:2条Sc ELIPs序列的ORF全长分别为711 bp和624 bp,分别编码236和207个氨基酸,二者都具有完整的Chloroa_b-bind功能域,定位于叶绿体类囊体膜,含有3个跨膜α螺旋,第1、3螺旋通过Glu和Arg残基形成双重对称结构,且具有至少4个叶绿素结合活性位点。通过对得到的2条Sc ELIPs进行氨基酸序列比对及基因树分析,得出Sc ELIP1与小立碗藓、山墙藓及盐生杜氏藻聚为一支,而Sc ELIP2与高等植物聚为一支,表现出ELIP从低等到高等植物的进化特征。本研究为Sc ELIPs基因后续的克隆和功能研究奠定了基础。  相似文献   

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There is an increasing demand to develop cost‐effective and accurate approaches to analyzing biological tissue samples. This is especially relevant in the fishing industry where closely related fish samples can be mislabeled, and the high market value of certain fish leads to the use of alternative species as substitutes, for example, Barramundi and Nile Perch (belonging to the same genus, Lates). There is a need to combine selective proteomic datasets with sophisticated computational analysis to devise a robust classification approach. This paper describes an integrated MS‐based proteomics and bioinformatics approach to classifying a range of fish samples. A classifier is developed using training data that successfully discriminates between Barramundi and Nile Perch samples using a selected protein subset of the proteome. Additionally, the classifier is shown to successfully discriminate between test samples not used to develop the classifier, including samples that have been cooked, and to classify other fish species as neither Barramundi nor Nile Perch. This approach has applications to truth in labeling for fishmongers and restaurants, monitoring fish catches, and for scientific research into distances between species.  相似文献   

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