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pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning 被引量:3
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作者 Yutao Shao Kuo-Chen Chou 《Natural Science》 2020年第6期400-428,共29页
<span style="font-family:Verdana;"> <p class="MsoNormal"> <span lang="EN-US" style="" color:black;"="">Recently, the life of worldwide human bei... <span style="font-family:Verdana;"> <p class="MsoNormal"> <span lang="EN-US" style="" color:black;"="">Recently, the life of worldwide human beings has been endangering by the spreading of </span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">pneu</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">- </span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">monia</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">-</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">causing virus, such as Coronavirus, COVID-19, and H1N1. To develop effective </span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">drugs against Coronavirus, knowledge of protein subcellular localization is prerequisite. In 2019, a predictor called “pLoc_bal-mEuk” was developed for identifying the subcellular localization of eukaryotic proteins. Its predicted results are significantly better than its counterparts, particularly for those proteins that may simultaneously occur or move between two or more subcellular location sites. However, more efforts are definitely needed to further improve its power since pLoc_bal-mEuk was still not trained by a “deep learning”, a very powerful technique developed recently. The present study was devoted to incorporating the “deep</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">- </span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">learning” technique and develop</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">ed</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;"> a new predictor called “pLoc_Deep-mEuk”. The global absolute true rate achieved by the new predictor is over 81% and its local accuracy is over 90%. Both are overwhelmingly superior to its counterparts. Moreover, a user-friendly web-</span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;"> </span><span style="font-variant-ligatures:normal;font-variant-caps:normal;orphans:2;text-align:start;widows:2;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px;">server for the new predictor has been well established at <a href="http://www.jci-bioinfo.cn/pLoc_Deep-mEuk/">http://www.jci-bioinfo.cn/pLoc_Deep-mEuk/</a>, by which the majority of experimental scientists can easily get their desired data.</span> </p> </span> 展开更多
关键词 CORONAVIRUS Multi-Label System eukaryotic proteins Deep Learning Five-Steps Rule PseAAC
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RNA and Protein Requirements for Eukaryotic Selenoprotein Synthesis 被引量:1
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作者 MARLA J. BERRY GLOVER W. MARTIN Ⅲ, AND SUSAN C. LOW(Thyroid Division, Department of Medicine, Brigham and Women’s Hospital Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, Massachusetts 02115,USA) 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 1997年第2期182-189,共8页
Selenium has been recognized as an essential nutrient in animals since the 1950s. Demonstration of the role of dietary selenium in protection from oxidative stress foIlowed in the early 1970s, and was largely attribut... Selenium has been recognized as an essential nutrient in animals since the 1950s. Demonstration of the role of dietary selenium in protection from oxidative stress foIlowed in the early 1970s, and was largely attributed to its presence as an integral part of cellular glutathione peroxidase. However, the functions of this enzyme did not explain many of the other effects of selenium deficiency. The identification of other mammalian selenoproteins during the last few years has provided new insights into the functions of this trace nutrient. The discovery that type 1 deiodinase (D1) is a selenoenzyme, in addition to unveiling an essential role for selenium in thyroid hormone action, has had more far-reaching implications. Studies of this protein opened the door for investigation of the requirements for eukaryotic selenoprotein synthesis,and the features that distinguish this pathway from the corresponding prokaryotic pathway.Selenium is present in a number of prokaryotic and eukaryotic proteins in the form of the unusual amino acid, selenocysteine. Incorporation of selenocysteine into these proteins requires a novel translation step in which UGA specifies selenocysteine insertion. Since UGA codons are typically recognized as translation stop signals, an intriguing question is raised: How does a cell recognize and distinguish a UGA selenocysteine codon from a UGA stop codon? In this review, we will focus on what is known about selenocysteine incorporation in eukaryotes, briefly summarizing initial studies and discussing a few recent advances in our understanding of this unique 'recoding' process 展开更多
关键词 RNA and protein Requirements for eukaryotic Selenoprotein Synthesis UGA
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Construction of bicistronic green fluorescent protein labeled pSELECT GFPzeo human bone morphogenetic protein 2 eukaryotic expression vector
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作者 黄洪超 《外科研究与新技术》 2011年第2期91-91,共1页
Objective To construct green fluorescent protein (GFP)-labeled pSELECT-GFP zeohBMP2 eukaryotic expression vector.Methods The encoding fragment of hBMP2 gene was obtained from a recombinant plasmid pcDNA3.1/CT-hBMP2 by... Objective To construct green fluorescent protein (GFP)-labeled pSELECT-GFP zeohBMP2 eukaryotic expression vector.Methods The encoding fragment of hBMP2 gene was obtained from a recombinant plasmid pcDNA3.1/CT-hBMP2 by using polymerase 展开更多
关键词 PCR GFP Construction of bicistronic green fluorescent protein labeled pSELECT GFPzeo human bone morphogenetic protein 2 eukaryotic expression vector GENE
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High expression of autophagy-related gene EIF4EBP1 could promote tamoxifen resistance and predict poor prognosis in breast cancer
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作者 Shan Yang Tian-Li Hui +6 位作者 Hao-Qi Wang Xi Zhang Yun-Zhe Mi Meng Cheng Wei Gao Cui-Zhi Geng Sai-Nan Li 《World Journal of Clinical Cases》 SCIE 2023年第20期4788-4799,共12页
BACKGROUND Breast cancer(BC) remains a public health problem. Tamoxifen(TAM) resistance has caused great difficulties for treatment of BC patients. Eukaryotic translation initiation factor 4E binding protein 1(EIF4EBP... BACKGROUND Breast cancer(BC) remains a public health problem. Tamoxifen(TAM) resistance has caused great difficulties for treatment of BC patients. Eukaryotic translation initiation factor 4E binding protein 1(EIF4EBP1) plays critical roles in the tumorigenesis and progression of BC. However, the expression and mechanism of EIF4EBP1 in determining the efficacy of TAM therapy in BC patients are still unclear.AIM To investigate the expression and functions of EIF4EBP1 in determining the efficacy of TAM therapy in BC patients.METHODS High-throughput sequencing data of breast tumors were downloaded from the Gene Expression Omnibus database. Differential gene expression analysis identified EIF4EBP1 to be significantly upregulated in cancer tissues. Its prognostic value was analyzed. The biological function and related pathways of EIF4EBP1 was analyzed. Subsequently, the expression of EIF4EBP1 was determined by real-time reverse transcription polymerase chain reaction and western blotting. Cell Counting Kit-8 assays, colony formation assay and wound healing assay were used to understand the phenotypes of function of EIF4EBP1.RESULTS EIF4EBP1 was upregulated in the TAM-resistant cells, and EIF4EBP1 was related to the prognosis of BC patients. Gene Set Enrichment Analysis showed that EIF4EBP1 might be involved in Hedgehog signaling pathways. Decreasing the expression of EIF4EBP1 could reverse TAM resistance, whereas overexpression of EIF4EBP1 promoted TAM resistance.CONCLUSION This study indicated that EIF4EBP1 was overexpressed in the BC and TAM-resistant cell line, which increased cell proliferation, invasion, migration and TAM resistance in BC cells. 展开更多
关键词 Breast cancer eukaryotic translation initiation factor 4E binding protein 1 TAMOXIFEN Resistance Prognosis BIOINFORMATICS
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Showcase to Illustrate How the Web-Server pLoc_Deep-mEuk Is Working 被引量:1
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作者 Kuo-Chen Chou 《Advances in Bioscience and Biotechnology》 2020年第7期257-272,共16页
Recently, a very useful method called “pLoc_Deep-mEuk” has been proposed for finding against the Pandemic COVID-19. Illustrated in this short report is a step-by-step guide for how to use its web-server.
关键词 CORONAVIRUS eukaryotic proteins Multi-Label System PseAAC Five-Steps Rules
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The recombinant expression systems for structure determination of eukaryotic membrane proteins 被引量:4
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作者 Yuan He Kan Wang Nieng Yan 《Protein & Cell》 SCIE CAS CSCD 2014年第9期658-672,共15页
Eukaryotic membrane proteins, many of which are key players in various biological processes, constitute more than half of the drug targets and represent important candidates for structural studies. In contrast to thei... Eukaryotic membrane proteins, many of which are key players in various biological processes, constitute more than half of the drug targets and represent important candidates for structural studies. In contrast to their physiological significance, only very limited number of eukaryoUc membrane protein structures have been obtained due to the technical challenges in the genera- tion of recombinant proteins. In this review, we examine the major recombinant expression systems for eukaryotic membrane proteins and compare their relative advantages and disadvantages. We also attempted to summarize the recent technical strategies in the advancement of eukaryotic membrane protein purification and crystallization. 展开更多
关键词 eukaryotic membrane proteins recombinant expression structural biology integralmembrane proteins (IMPs) fluorescence detected sizeexclusion chromatography (FSEC) protein purification and crystallization
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Neuroprotective effects of atorvastatin against cerebral ischemia/reperfusion injury through the inhibition of endoplasmic reticulum stress 被引量:14
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作者 Jian-wen Yang Zhi-ping Hu 《Neural Regeneration Research》 SCIE CAS CSCD 2015年第8期1239-1244,共6页
Cerebral ischemia triggers secondary ischemia/reperfusion injury and endoplasmic reticulum stress initiates cell apoptosis. However, the regulatory mechanism of the signaling pathway remains unclear. We hypothesize th... Cerebral ischemia triggers secondary ischemia/reperfusion injury and endoplasmic reticulum stress initiates cell apoptosis. However, the regulatory mechanism of the signaling pathway remains unclear. We hypothesize that the regulatory mechanisms are mediated by the protein kinase-like endoplasmic reticulum kinase/eukaryotic initiation factor 2α in the endoplasmic reticulum stress signaling pathway. To verify this hypothesis, we occluded the middle cerebral artery in rats to establish focal cerebral ischemia/reperfusion model. Results showed that the expression levels of protein kinase-like endoplasmic reticulum kinase and caspase-3, as well as the phosphorylation of eukaryotic initiation factor 2α, were increased after ischemia/reperfusion. Administration of atorvastatin decreased the expression of protein kinase-like endoplasmic reticulum kinase, caspase-3 and phosphorylated eukaryotic initiation factor 2α, reduced the infarct volume and improved ultrastructure in the rat brain. After salubrinal, the specific inhibitor of phosphorylated eukaryotic initiation factor 2α was given into the rats intragastrically, the expression levels of caspase-3 and phosphorylated eukaryotic initiation factor 2α in the were decreased, a reduction of the infarct volume and less ultrastructural damage were observed than the untreated, ischemic brain. However, salubrinal had no impact on the expression of protein kinase-like endoplasmic reticulum kinase. Experimental findings indicate that atorvastatin inhibits endoplasmic reticulum stress and exerts neuroprotective effects. The underlying mechanisms of attenuating ischemia/reperfusion injury are associated with the protein kinase-like endoplasmic reticulum kinase/eukaryotic initiation factor 2α/caspase-3 pathway. 展开更多
关键词 nerve regeneration neuroprotection protein kinase-like endoplasmic reticulum kinase eukaryotic initiation factor endoplasmic reticulum stress focal cerebral ischemia/reperfusion atorvastatin apoptosis
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Prediction of Protein Subcellular Localization Based on Hilbert-Huang Transform 被引量:1
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作者 SONG Chaohong SHI Feng 《Wuhan University Journal of Natural Sciences》 CAS 2012年第1期48-54,共7页
Using Hilbert-Huang transform, subcellular localization tbr prokaryotic and eukaryotic proteins was predicted and tested with Reinhart and Hubbard's dataset. The prediction accu- racy of prokaryotic and eukaryotic pr... Using Hilbert-Huang transform, subcellular localization tbr prokaryotic and eukaryotic proteins was predicted and tested with Reinhart and Hubbard's dataset. The prediction accu- racy of prokaryotic and eukaryotic protein sequences concentrated in the dataset all reached 100% by self-consistency, 91.8% for the former and 88% for the latter by the five fold cross-validation test. A significant improvement in prediction quality by incorporating the spectrum parameters with the conventional amino acid composition was observed. One of the crucial merits of this approach is that many existing tools in mathematics and engineering can be easily applied in the predicting process. It is anticipated that digital signal processing may serve as a useful vehicle for many other protein science areas. 展开更多
关键词 Hilbert-Huang transform subeellular location support vector machine prokaryotic protein eukaryotic protein
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Oral everolimus inhibits intimal proliferation in injured carotid artery in rats
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作者 WANG Xiao-fang SHEN De-liang ZHAO Xiao-yan N1NG Hong-jie FENG Ri-sheng ZHANG Jin-ying 《Chinese Medical Journal》 SCIE CAS CSCD 2013年第10期1906-1912,共7页
Background Everolimus, a derivative of sirolimus, is a potent immunosuppressant that has important anti-proliferative properties. In the present study, we demonstrated the inhibiting neointimal hyperplasia in injured ... Background Everolimus, a derivative of sirolimus, is a potent immunosuppressant that has important anti-proliferative properties. In the present study, we demonstrated the inhibiting neointimal hyperplasia in injured carotid arteries in rats by using two different doses of everolimus administrated via the oral route for a long time. Methods A rat model of carotid artery injury was established by balloon inflation. Eighty rats were randomly divided into the sham-operated group (n=20), injury group (n=20), low dosage of everolimus group (n=20), and high dosage of everolimus group (n=20). The low close of everolimus (1.5 mg/kg) was given one day before injuring the carotid artery by balloon, followed by 0.75 mg/kg per day for 28 days via intragastric gavage. High dose everolimus (2.5 mg/kg) was given one day before injuring the carotid artery by balloon, followed by 1 mg/kg per day for 28 days. Expression of eukaryotic translation initiation factor 4E (elF-4E) and phosphorylation of ribosomal proteinS6 kinase 1 (P70S6K) were determined by reverse transcription-polymerase chain reaction and Western blotting analysis. Results In the injured carotid artery, neointimal hyperplasia was normally observed four weeks after injury. Everolimus inhibited neointimal hyperplasia after balloon injury in a dose dependent manner. At the same time, the study demonstrated that everolimus reduced the expression of P-P70S6K, elF-4E, transforming growth factor (TGF)-131 and of proliferating cell nuclear antigen (PCNA). Conclusions Everolimus significantly inhibited neointimal hyperplasia of the injured carotid artery. The effect depended on dosaqe and was associated with the reduction of phosphorylation of P70S6K and the elF-4E expression level. 展开更多
关键词 EVEROLIMUS ribosomal protein S6 kinase 1 eukaryotic translation initiation factor 4E
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