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991.
A statistical method to predict protein pKa has been developed by using the 3D structure of a protein and a database of 434 experimental protein pKa values. Each pKa in the database is associated with a fingerprint that describes the chemical environment around an ionizable residue. A computational tool, MoKaBio, has been developed to identify automatically ionizable residues in a protein, generate fingerprints that describe the chemical environment around such residues, and predict pKa from the experimental pKa values in the database by using a similarity metric. The method, which retrieved the pKa of 429 of the 434 ionizable sites in the database correctly, was crossvalidated by leave‐one‐out and yielded root mean square error (RMSE) = 0.95, a result that is superior to that obtained by using the Null Model (RMSE 1.07) and other well‐established protein pKa prediction tools. This novel approach is suitable to rationalize protein pKa by comparing the region around the ionizable site with similar regions whose ionizable site pKa is known. The pKa of residues that have a unique environment not represented in the training set cannot be predicted accurately, however, the method offers the advantage of being trainable to increase its predictive power. Proteins 2009. © 2009 Wiley‐Liss, Inc. 相似文献
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Mariateresa Volpicella Francesca De Leo Marta Sciancalepore Gabriella Sonnante Domenico Pignone Raffaele Gallerani Luigi R. Ceci 《Plant Physiology and Biochemistry》2009,47(3):175-180
PCR analysis of the genomes of two wild Brassicaceae plants, Diplotaxis muralis and Diplotaxis tenuifolia, demonstrated the presence of several genes coding for potential protease inhibitors, classifiable within the mustard inhibitor family (MSI). This is a small family of plant protease inhibitors named after the mustard trypsin inhibitor MTI-2, the first protease inhibitor characterized in Brassicaceae. From identified sequences two recombinant inhibitors were expressed in Pichia pastoris. In comparison with MTI-2, they show a reduced activity against bovine trypsin. However, when tested against trypsin-like proteases present in the guts of Helicoverpa zea larvae, the Diplotaxis inhibitors and MTI-2 show similar activities, indicating that the usually adopted procedure of reporting activity of plant protease inhibitors against bovine trypsin may lead to wrong estimation of their effect on insect proteases. This issue is of particular relevance when planning the use of PI genes for developing insect resistant plants. 相似文献
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The Bifidobacterium dentium Bd1 Genome Sequence Reflects Its Genetic Adaptation to the Human Oral Cavity 下载免费PDF全文
Marco Ventura Francesca Turroni Aldert Zomer Elena Foroni Vanessa Giubellini Francesca Bottacini Carlos Canchaya Marcus J. Claesson Fei He Maria Mantzourani Laura Mulas Alberto Ferrarini Beile Gao Massimo Delledonne Bernard Henrissat Pedro Coutinho Marco Oggioni Radhey S. Gupta Ziding Zhang David Beighton Gerald F. Fitzgerald Paul W. O'Toole Douwe van Sinderen 《PLoS genetics》2009,5(12)
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Dante Mantini Francesca Petrucci Damiana Pieragostino Piero Del Boccio Paolo Sacchetta Giovanni Candiano Gian Marco Ghiggeri Alessandra Lugaresi Giorgio Federici Carmine Di Ilio Andrea Urbani 《Journal of Proteomics》2010,73(3):562-570
BackgroundMass spectrometry (MS) is becoming the gold standard for biomarker discovery. Several MS-based bioinformatics methods have been proposed for this application, but the divergence of the findings by different research groups on the same MS data suggests that the definition of a reliable method has not been achieved yet. In this work, we propose an integrated software platform, MASCAP, intended for comparative biomarker detection from MALDI-TOF MS data.ResultsMASCAP integrates denoising and feature extraction algorithms, which have already shown to provide consistent peaks across mass spectra; furthermore, it relies on statistical analysis and graphical tools to compare the results between groups. The effectiveness in mass spectrum processing is demonstrated using MALDI-TOF data, as well as SELDI-TOF data. The usefulness in detecting potential protein biomarkers is shown comparing MALDI-TOF mass spectra collected from serum and plasma samples belonging to the same clinical population.ConclusionsThe analysis approach implemented in MASCAP may simplify biomarker detection, by assisting the recognition of proteomic expression signatures of the disease. A MATLAB implementation of the software and the data used for its validation are available at http://www.unich.it/proteomica/bioinf. 相似文献
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Alessandro Mauriello Manuel Scimeca Ivano Amelio Renato Massoud Antonio Novelli Francesca Di Lorenzo Susanna Finocchiaro Carolina Cimino Rossana Telesca Marcello Chiocchi Qiang Sun Ying Wang Yufang Shi Giuseppe Novelli Gerry Melino 《Cell death & disease》2021,12(8)
While vaccination is the single most effective intervention to drastically reduce severe disease and death following SARS-CoV-2 infection, as shown in UK and Israel, some serious concerns have been raised for an unusual adverse drug reaction (ADR), including vaccine-induced immune thrombotic thrombocytopenia (VITT) with concurrent low platelets as well as capillary leak syndrome. In fact, the overall safety of the vaccine is highlighted by the low frequency of ADR considering that in UK, by the early June, 40 million first doses and 29 million second doses have been injected; nonetheless, 390 thrombotic events, including 71 fatal events have been reported. Interestingly, the cases reported low platelet counts with the presence of anti-platelet factor-4 (PF4) antibodies, indicating an abnormal clotting reaction. Here, out of three referred cases, we report a post-vaccine clinical case of fatal thrombosis with postmortem examination and whole exome sequencing (WES) analysis, whose pathogenesis appeared associated to a preexisting condition of thrombocytopenia due to myelodysplasia.Subject terms: Diseases, Medical research 相似文献