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排序方式: 共有1130条查询结果,搜索用时 15 毫秒
1.
经过多年探索,对肝脏疾病的研究已取得重大进展,但其发病机制复杂,目前仍未完全阐明。长链非编码RNA(long noncoding RNA,lnc RNA)是非编码RNA中的一种,不具有蛋白编码功能。研究发现,lnc RNA参与调控多种肝脏疾病的生理和病理过程,能在表观遗传、转录和转录后水平发挥重要的调节作用,提示我们lnc RNA可能成为一个新的治疗突破口。本文针对当前lnc RNA在肝疾病中的功能及作用机制进行综述。首先介绍了lnc RNA的功能,再将计算机与生物学相结合概括lnc RNA的四个研究步骤,包括筛选、鉴定、预测及验证,重点阐述lnc RNA与肝纤维化、肝硬化、肝癌及肝移植的近期研究成果,并进一步探讨未来lnc RNA在肝病中的研究方向和应用前景。充分了解肝病的研究现状以及与肝病发生发展有关的lnc RNA分子和生物学功能,为后续研究肝病的机制和治疗提供理论依据和借鉴。 相似文献
2.
Gerard Such-Sanmartín Simone SidoliEstela Ventura-Espejo Ole N. Jensen 《Biochemical and biophysical research communications》2014
We introduce the computer tool “Know Your Samples” (KYSS) for assessment and visualisation of large scale proteomics datasets, obtained by mass spectrometry (MS) experiments. KYSS facilitates the evaluation of sample preparation protocols, LC peptide separation, and MS and MS/MS performance by monitoring the number of missed cleavages, precursor ion charge states, number of protein identifications and peptide mass error in experiments. KYSS generates several different protein profiles based on protein abundances, and allows for comparative analysis of multiple experiments. KYSS was adapted for blood plasma proteomics and provides concentrations of identified plasma proteins. We demonstrate the utility of the KYSS tool for MS based proteome analysis of blood plasma and for assessment of hydrogel particles for depletion of abundant proteins in plasma. The KYSS software is open source and is freely available at http://kyssproject.github.io/. 相似文献
3.
Unrestricted modification search reveals lysine methylation as major modification induced by tissue formalin fixation and paraffin embedding 下载免费PDF全文
Bo Xu Yutaka Yoshida Oliver Horlacher Frederic Nikitin Samuel Garessus Sameh Magdeldin Naohiko Kinoshita Hidehiko Fujinaka Eishin Yaoita Miki Hasegawa Frederique Lisacek Tadashi Yamamoto 《Proteomics》2015,15(15):2568-2579
Formalin‐fixed paraffin‐embedded (FFPE) tissue is considered as an appropriate alternative to frozen/fresh tissue for proteomic analysis. Here we study formalin‐induced alternations on a proteome‐wide level. We compared LC‐MS/MS data of FFPE and frozen human kidney tissues by two methods. First, clustering analysis revealed that the biological variation is higher than the variation introduced by the two sample processing techniques and clusters formed in accordance with the biological tissue origin and not with the sample preservation method. Second, we combined open modification search and spectral counting to find modifications that are more abundant in FFPE samples compared to frozen samples. This analysis revealed lysine methylation (+14 Da) as the most frequent modification induced by FFPE preservation. We also detected a slight increase in methylene (+12 Da) and methylol (+30 Da) adducts as well as a putative modification of +58 Da, but they contribute less to the overall modification count. Subsequent SEQUEST analysis and X!Tandem searches of different datasets confirmed these trends. However, the modifications due to FFPE sample processing are a minor disturbance affecting 2–6% of all peptide‐spectrum matches and the peptides lists identified in FFPE and frozen tissues are still highly similar. 相似文献
4.
Bottom up proteomics data analysis strategies to explore protein modifications and genomic variants 下载免费PDF全文
The quest to understand biological systems requires further attention of the scientific community to the challenges faced in proteomics. In fact the complexity of the proteome reaches uncountable orders of magnitude. This means that significant technical and data‐analytic innovations will be needed for the full understanding of biology. Current state of art MS is probably our best choice for studying protein complexity and exploring new ways to use MS and MS derived data should be given higher priority. We present here a brief overview of visualization and statistical analysis strategies for quantitative peptide values on an individual protein basis. These analysis strategies can help pinpoint protein modifications, splice, and genomic variants of biological relevance. We demonstrate the application of these data analysis strategies using a bottom‐up proteomics dataset obtained in a drug profiling experiment. Furthermore, we have also observed that the presented methods are useful for studying peptide distributions from clinical samples from a large number of individuals. We expect that the presented data analysis strategy will be useful in the future to define functional protein variants in biological model systems and disease studies. Therefore robust software implementing these strategies is urgently needed. 相似文献
5.
Lindsay A. Matthews Rajeevan Selvaratnam Darryl R. Jones Madoka Akimoto Brendan J. McConkey Giuseppe Melacini Bernard P. Duncker Alba Guarné 《The Journal of biological chemistry》2014,289(5):2589-2599
Forkhead-associated (FHA) and BRCA1 C-terminal (BRCT) domains are overrepresented in DNA damage and replication stress response proteins. They function primarily as phosphoepitope recognition modules but can also mediate non-canonical interactions. The latter are rare, and only a few have been studied at a molecular level. We have identified a crucial non-canonical interaction between the N-terminal FHA1 domain of the checkpoint effector kinase Rad53 and the BRCT domain of the regulatory subunit of the Dbf4-dependent kinase that is critical to suppress late origin firing and to stabilize stalled forks during replication stress. The Rad53-Dbf4 interaction is phosphorylation-independent and involves a novel non-canonical interface on the FHA1 domain. Mutations within this surface result in hypersensitivity to genotoxic stress. Importantly, this surface is not conserved in the FHA2 domain of Rad53, suggesting that the FHA domains of Rad53 gain specificity by engaging additional interaction interfaces beyond their phosphoepitope-binding site. In general, our results point to FHA domains functioning as complex logic gates rather than mere phosphoepitope-targeting modules. 相似文献
6.
7.
YPED:An Integrated Bioinformatics Suite and Database for Mass Spectrometry-based Proteomics Research
Christopher M.Colangelo Mark Shifman Kei-Hoi Cheung Kathryn L.Stone Nicholas J.Carriero Erol E.Gulcicek TuKiet T.Lam Terence Wu Robert D.Bjornson Can Bruce Angus C.Nairn Jesse Rinehart Perry L.Miller Kenneth R.Williams 《基因组蛋白质组与生物信息学报(英文版)》2015,13(1):25-35
We report a significantly-enhanced bioinformatics suite and database for proteomics research called Yale Protein Expression Database(YPED) that is used by investigators at more than 300 institutions worldwide. YPED meets the data management, archival, and analysis needs of a high-throughput mass spectrometry-based proteomics research ranging from a singlelaboratory, group of laboratories within and beyond an institution, to the entire proteomics community. The current version is a significant improvement over the first version in that it contains new modules for liquid chromatography–tandem mass spectrometry(LC–MS/MS) database search results, label and label-free quantitative proteomic analysis, and several scoring outputs for phosphopeptide site localization. In addition, we have added both peptide and protein comparative analysis tools to enable pairwise analysis of distinct peptides/proteins in each sample and of overlapping peptides/proteins between all samples in multiple datasets. We have also implemented a targeted proteomics module for automated multiple reaction monitoring(MRM)/selective reaction monitoring(SRM) assay development. We have linked YPED's database search results and both label-based and label-free fold-change analysis to the Skyline Panorama repository for online spectra visualization. In addition, we have built enhanced functionality to curate peptide identifications into an MS/MS peptide spectral library for all of our protein database search identification results. 相似文献
8.
ITMSQ: A software tool for N‐ and C‐terminal fragment ion pairs based isobaric tandem mass spectrometry quantification 下载免费PDF全文
Li‐Qi Xie Lei Zhang Ai‐Ying Nie Guo‐Quan Yan Jun Yao Yang Zhang Peng‐Yuan Yang Hao‐Jie Lu 《Proteomics》2015,15(22):3755-3764
Tandem MS (MS2) quantification using the series of N‐ and C‐terminal fragment ion pairs generated from isobaric‐labelled peptides was recently considered an accurate strategy in quantitative proteomics. However, the presence of multiplexed terminal fragment ion in MS2 spectra may reduce the efficiency of peptide identification, resulting in lower identification scores or even incorrect assignments. To address this issue, we developed a quantitative software tool, denoted isobaric tandem MS quantification (ITMSQ), to improve N‐ and C‐terminal fragment ion pairs based isobaric MS2 quantification. A spectrum splitting module was designed to separate the MS2 spectra from different samples, increasing the accuracy of both identification and quantification. ITMSQ offers a convenient interface through which parameters can be changed along with the labelling method, and the result files and all of the intermediate files can be exported. We performed an analysis of in vivo terminal amino acid labelling labelled HeLa samples and found that the numbers of quantified proteins and peptides increased by 13.64 and 27.52% after spectrum splitting, respectively. In conclusion, ITMSQ provides an accurate and reliable quantitative solutionfor N‐ and C‐terminal fragment ion pairs based isobaric MS2 quantitative methods. 相似文献
9.
10.
Douglas Myers-Turnbull Spencer E. Bliven Peter W. Rose Zaid K. Aziz Philippe Youkharibache Philip E. Bourne Andreas Prlić 《Journal of molecular biology》2014
Symmetry is an important feature of protein tertiary and quaternary structures that has been associated with protein folding, function, evolution, and stability. Its emergence and ensuing prevalence has been attributed to gene duplications, fusion events, and subsequent evolutionary drift in sequence. This process maintains structural similarity and is further supported by this study. To further investigate the question of how internal symmetry evolved, how symmetry and function are related, and the overall frequency of internal symmetry, we developed an algorithm, CE-Symm, to detect pseudo-symmetry within the tertiary structure of protein chains. Using a large manually curated benchmark of 1007 protein domains, we show that CE-Symm performs significantly better than previous approaches. We use CE-Symm to build a census of symmetry among domain superfamilies in SCOP and note that 18% of all superfamilies are pseudo-symmetric. Our results indicate that more domains are pseudo-symmetric than previously estimated. We establish a number of recurring types of symmetry–function relationships and describe several characteristic cases in detail. With the use of the Enzyme Commission classification, symmetry was found to be enriched in some enzyme classes but depleted in others. CE-Symm thus provides a methodology for a more complete and detailed study of the role of symmetry in tertiary protein structure [availability: CE-Symm can be run from the Web at http://source.rcsb.org/jfatcatserver/symmetry.jsp. Source code and software binaries are also available under the GNU Lesser General Public License (version 2.1) at https://github.com/rcsb/symmetry. An interactive census of domains identified as symmetric by CE-Symm is available from http://source.rcsb.org/jfatcatserver/scopResults.jsp]. 相似文献