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101.
P. M. Abuja M. Schmuck I. Pilz P. Tomme M. Claeyssens H. Esterbauer 《European biophysics journal : EBJ》1988,15(6):339-342
Limited proteolysis (papain) of the cellobiohydrolase I (CBH I, 65 kDa) from Trichoderma reesei led to the seperation of two functional domains: a core protein (55 kDa) containing the active site, and a C-terminal glycopeptide (10 kDa) implicated in binding to the insoluble matrix (cellulose). The quaternary structures of the intact CBH I and its core in solution are now compared by small angle X-ray scattering (SAXS) measurements. The molecular parameters derived for the core (Rg=2.09 nm, Dmax=6.5 nm) and for the intact enzyme (Rg=4.27 nm, Dmax=18 nm) indicate very different shapes. The resulting models show a tadpole-like structure for the intact enzyme where the isotropic part coincides with the core protein and the flexible tail part should be identified with the C-terminal glycopeptide. Thus in this enzyme, functional differentiation is reflected in structural peculiarities.Abbreviations SAXS
small angle X-ray scattering
- SDS-PAGE
SDS-polyacrylamide gel electrophoresis
- IEF-PAG
polyacrylamide gel isoelectric focusing; cellobiohydrolase (CBH, 1,4--glucan cellobio hydrolase (E.C.3.2.1.91))
- Dmax
maximum diameter
- Rg
radius of gyration 相似文献
102.
103.
Jung YY Oh MS Shin DW Kang SH Oh HS 《Biometrical journal. Biometrische Zeitschrift》2006,48(3):435-450
A Bayesian model-based clustering approach is proposed for identifying differentially expressed genes in meta-analysis. A Bayesian hierarchical model is used as a scientific tool for combining information from different studies, and a mixture prior is used to separate differentially expressed genes from non-differentially expressed genes. Posterior estimation of the parameters and missing observations are done by using a simple Markov chain Monte Carlo method. From the estimated mixture model, useful measure of significance of a test such as the Bayesian false discovery rate (FDR), the local FDR (Efron et al., 2001), and the integration-driven discovery rate (IDR; Choi et al., 2003) can be easily computed. The model-based approach is also compared with commonly used permutation methods, and it is shown that the model-based approach is superior to the permutation methods when there are excessive under-expressed genes compared to over-expressed genes or vice versa. The proposed method is applied to four publicly available prostate cancer gene expression data sets and simulated data sets. 相似文献
104.
Elik Aharonovsky Edward N. Trifonov 《Journal of biomolecular structure & dynamics》2013,31(3):237-242
Abstract Conserved protein sequence segments are commonly believed to correspond to functional sites in the protein sequence. A novel approach is proposed to profile the changing degree of conservation along the protein sequence, by evaluating the occurrence frequencies of all short oligopeptides of the given sequence in a large proteome database. Thus, a protein sequence conservation profile can be plotted for every protein. The profile indicates where along the sequences the potential functional (conserved) sites are located. The corresponding oligopeptides belonging to the sites are very frequent across many prokaryotic species. Analysis of a representative set of such profiles reveals a common feature of all examined proteins: they consist of sequence modules represented by the peaks of conservation. Typical size of the modules (peak-to-peak distance) is 25–30 amino acid residues. 相似文献
105.
Dynamic landscape models have generally assumed random distributions of habitat although real landscapes show spatial organization
at many scales. To explore the role of spatial structure in determining the frequency of dispersal-limited forest species,
we used a cellular landscape model divided into two zones. Zones were distributed in a random, clustered, or regular spatial
pattern. Within each zone habitat cells were randomly destroyed and regenerated, and habitat density and turnover rate were
systematically varied. A hypothetical habitat-limited species dispersed between adjacent habitat cells. All trials showed
a reduced species frequency relative to a static landscape. Reduction was greater at low habitat density (P = 0.30) than at high density (0.90) suggesting the importance of habitat connectivity in controlling species frequency. The
greatest reduction occurred when habitat was concentrated in a small, regularly distributed zone at low habitat density reflecting
the enforced isolation of individual habitat cells. Very little reduction was observed when habitat cells were packed into
a small clustered zone, a situation promoting connectivity between cells. Moderate–severe frequency reduction occurred when
habitat turnover was concentrated in a clustered zone at high habitat density, but little was observed when turnover was widely
distributed in a regular or random pattern. These results can be interpreted in terms of a source-sink function in which spatial
pattern controlled the degree of contact between landscape zones and determined opportunities for dispersal between habitat
cells. We conclude that clustering of forest habitat has the potential to maintain herb species frequency in sparsely forested
landscapes. Conversely, clustering of forest disturbance in heavily forested regions, or regular distribution of forest stands
(as often occurs in agricultural regions) creates areas which are difficult to colonize, and should be avoided. 相似文献
106.
Wang ZX Xue D Liu ZL Lu BB Bian HB Pan X Yin YM 《The international journal of biochemistry & cell biology》2012,44(1):200-210
Polo-like kinase 1 is a serine/threonine kinase which plays an essential role in mitosis and malignant transformation. The aim of this study was to investigate the prognostic significance of polo-like kinase 1 expression and determine its possibility as a therapeutic target in non-small cell lung cancer. Semi-quantitative RT-PCR assay was performed to detect polo-like kinase 1 mRNA expression in non-small cell lung cancer cells or tissues. Immunohistochemistry was performed to detect polo-like kinase 1 protein expression in 100 non-small cell lung cancer tissue samples, and the associations of polo-like kinase 1 expression with clinicopathological factors or prognosis of non-small cell lung cancer patients were evaluated. RNA interference was employed to inhibit endogenous polo-like kinase 1 expression and analyzed the effects of polo-like kinase 1 inhibition on the malignant phenotypes of non-small cell lung cancer cells including growth, apoptosis, radio- or chemoresistance. Also, the possible molecular mechanisms were also investigated. The levels of polo-like kinase 1 mRNA expression in non-small cell lung cancer cell lines or tissues were significantly higher than those in normal human bronchial epithelial cell line or corresponding non-tumor tissues. High polo-like kinase 1 expression was significantly correlated with advanced clinical stage, higher tumor classification and lymph node metastasis of non-small cell lung cancer patients (P = 0.001, 0.004 and 0.001, respectively). Meanwhile, high polo-like kinase 1 protein expression was also an independent prognostic molecular marker for non-small cell lung cancer patients (hazard ratio: 2.113; 95% confidence interval: 1.326-3.557; P = 0.017). Polo-like kinase 1 inhibition could significantly inhibit in vitro and in vivo proliferation, induce cell arrest of G2/M phase and apoptosis enhancement in non-small cell lung cancer cells, which might be activation of the p53 pathway and the Cdc25C/cdc2/cyclin B1 feedback loop. Further, inhibition of polo-like kinase 1 could enhance the sensitivity of non-small cell lung cancer cells to taxanes or irradiation. Thus, polo-like kinase 1 might be a prognostic marker and a chemo- or radiotherapeutic target for non-small cell lung cancer. 相似文献
107.
Differential susceptibility epidemic models 总被引:3,自引:0,他引:3
We formulate compartmental differential susceptibility (DS) susceptible-infective-removed (SIR) models by dividing the susceptible population into multiple subgroups according to the susceptibility of individuals in each group. We analyze the impact of disease-induced mortality in the situations where the number of contacts per individual is either constant or proportional to the total population. We derive an explicit formula for the reproductive number of infection for each model by investigating the local stability of the infection-free equilibrium. We further prove that the infection-free equilibrium of each model is globally asymptotically stable by qualitative analysis of the dynamics of the model system and by utilizing an appropriately chosen Liapunov function. We show that if the reproductive number is greater than one, then there exists a unique endemic equilibrium for all of the DS models studied in this paper. We prove that the endemic equilibrium is locally asymptotically stable for the models with no disease-induced mortality and the models with contact numbers proportional to the total population. We also provide sufficient conditions for the stability of the endemic equilibrium for other situations. We briefly discuss applications of the DS models to optimal vaccine strategies and the connections between the DS models and predator-prey models with multiple prey populations or host-parasitic interaction models with multiple hosts are also given.This research was partially supported by the Department of Energy under contracts W-7405-ENG-36 and the Applied Mathematical Sciences Program KC-07-01-01. 相似文献
108.
Sarah J. Smith Christopher J. Noble Randahl C. Palmer Graeme R. Hanson Gerhard Schenk Lawrence R. Gahan Mark J. Riley 《Journal of biological inorganic chemistry》2008,13(4):499-510
A binuclear copper complex, [Cu2(BPMP)(OAc)2][ClO4]·H2O, has been prepared using the binucleating ligand 2,6-bis[bis(pyridin-2-ylmethylamino)methyl]-4-methylphenol (H-BPMP). The
X-ray crystal structure reveals the copper centers to have a five-coordinate square pyramidal geometry, with the acetate ligands
bound terminally. The bridging phenolate occupies the apical position of the square-based pyramids and magnetic susceptibility,
electron paramagnetic resonance (EPR) and variable-temperature variable-field magnetic circular dichroism (MCD) measurements
indicate that the two centers are very weakly antiferromagnetically coupled (J = −0.6 cm−1). Simulation of the dipole–dipole-coupled EPR spectrum showed that in solution the Cu–O–Cu angle was increased from 126°
to 160° and that the internuclear distance was larger than that observed crystallographically. The high-resolution spectroscopic
information obtained has been correlated with a detailed ligand-field analysis to gain insight into the electronic structure
of the complex. Symmetry arguments have been used to demonstrate that the sign of the MCD is characteristic of the tetragonally
elongated environment. The complex also displays catecholase activity (k
cat = 15 ± 1.5 min−1, K
M = 6.4 ± 1.8 mM), which is compared with other dicopper catechol oxidase models.
Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. 相似文献
109.
In the context of competing risks, the cumulative incidence function is often used to summarize the cause-specific failure-time data. As an alternative to the proportional hazards model, the additive risk model is used to investigate covariate effects by specifying that the subject-specific hazard function is the sum of a baseline hazard function and a regression function of covariates. Based on such a formulation, we present an approach to constructing simultaneous confidence intervals for the cause-specific cumulative incidence function of patients with given risk factors. A melanoma data set is used for the purpose of illustration. 相似文献
110.
Robert W. Bryson Jr. Warren E. Savary Amanda J. Zellmer R. Bruce Bury John E. McCormack 《Molecular ecology》2016,25(15):3731-3751
The California Floristic Province (CFP) in western North America is a globally significant biodiversity hotspot. Elucidating patterns of endemism and the historical drivers of this diversity has been an important challenge of comparative phylogeography for over two decades. We generated phylogenomic data using ddRADseq to examine genetic structure in Uroctonus forest scorpions, an ecologically restricted and dispersal‐limited organism widely distributed across the CFP north to the Columbia River. We coupled our genetic data with species distribution models (SDMs) to determine climatically suitable areas for Uroctonus both now and during the Last Glacial Maximum. Based on our analyses, Uroctonus is composed of two major genetic groups that likely diverged over 2 million years ago. Each of these groups itself contains numerous genetic groups that reveal a pattern of vicariance and microendemism across the CFP. Migration rates among these populations are low. SDMs suggest forest scorpion habitat has remained relatively stable over the last 21 000 years, consistent with the genetic data. Our results suggest tectonic plate rafting, mountain uplift, river drainage formation and climate‐induced habitat fragmentation have all likely played a role in the diversification of Uroctonus. The intricate pattern of genetic fragmentation revealed across a temporal continuum highlights the potential of low‐dispersing species to shed light on small‐scale patterns of biodiversity and the underlying processes that have generated this diversity in biodiversity hotspots. 相似文献