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11.
12.
Maria Rosa Buemi Laura De Luca Alba Chimirri Stefania Ferro Rosaria Gitto Julio Alvarez-Builla Ramon Alajarin 《Bioorganic & medicinal chemistry》2013,21(15):4575-4580
Several indole derivatives, that were highly potent ligands of GluN2B-subunit-containing N-methyl-d-aspartate (NMDA) receptor, also demonstrated antioxidant properties in ABTS method. In particular, the 2-(4-benzylpiperidin-1-yl)-1-(5-hydroxy-1H-indol-3-yl)ethanone (1) proved to be a dual-effective neuroprotective agent. With the aim to increase the antioxidant properties we added a catechol moiety onto piperidine moiety. The designed hybrid derivative 3,4-dihydroxy-N-[1-[2-(5-hydroxy-1H-indol-3-yl)-2-oxoethyl]piperidin-4-yl]benzamide (10) was the most effective antioxidant agent (>94.1 ± 0.1% of inhibition at 17 μM) and showed GluN2B/NMDA receptor affinity at low micromolar concentration (IC50 0.66 μM). By means of computational studies we explored the effect of the presence of this antioxidant fragment during the recognition process to binding pocket. 相似文献
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14.
Mark C. Ball Laura Finnegan Micheline Manseau Paul Wilson 《Conservation Genetics》2010,11(6):2131-2143
Individual-based clustering (IBC) methods have become increasingly popular for the characterization and delineation of genetic
population units for numerous species. These methods delineate populations based on the genetic assumptions of a breeding
unit which may provide a better representation of the behaviour of the species. The increasing use of IBC has resulted in
the development of several analytical models all of which vary in their theoretical assumptions to infer genetic population
structure. In this paper, we report a comparative strategy utilizing three IBC methods to characterize the spatial genetic
structure of the boreal population of woodland caribou (Rangifer tarandus caribou) in central Canada. In addition, we implement both tests for isolation-by-distance (IBD) and frequency-based assignment tests
to validate the consensus genetic clusters as defined by IBC. We also compare indirect metrics of genetic diversity and gene
flow using both a priori defined herds and the IBC defined populations. Although our results show some concordance between both pre-defined herds
and IBC derived genetic clusters, the IBC analyses identified a cluster that was cryptic to observation-based caribou herds
and found no difference between several adjacent herds. By comparing multiple IBC methods and integrating both IBD and indirect
genetic diversity metrics a posteriori, our strategy provides an effective means to delineate wildlife population structure and accurately assess genetic diversity
and connectivity. 相似文献
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Susan Singer John Sollinger Sonja Maki Jason Fishbach Brad Short Catherine Reinke Jennifer Fick Laura Cox Andrew McCall Heidi Mullen 《The Botanical review》1999,65(4):385-410
We are characterizing a suiteof Pisum sativum mutants that alter inflorescence architecture to construct a model for the genetic regulation of inflorescence development
in a plant with a compound raceme. Such a model, when compared with those created forAntirrhinum majus andArabidopsis thaliana, both of which have simple racemes, should provide insight into the evolution of the development of inflorescence architecture.
The highly conserved nature of cloned genes that regulate reproductive development in plants and the morphological similarities
among our mutants and those identified inA. majus andA. thaliana enhance the probability that a developmental genetics approach will be fruitful. Here we describe sixP. sativum mutants that affect morphologically and architecturally distinct aspects of the inflorescence, and we analyze interactions
among these genes. Both vegetative and inflorescence growth of the primary axis is affected byUNIFOLIA TA, which is necessary for the function ofDETERMINATE (DET).DET maintains indeterminacy in the first-order axis. In its absence, the meristem differentiates as a stub covered with epidermal
hairs.DET interacts withVEGETATIVE1 (VEG1).VEG1 appears essential for second-order inflorescence (I2) development.veg1 mutants fail to flower or differentiate the I2 meristem into a rudimentary stub,det veg1 double mutants produce true terminal flowers with no stubs, indicating that two genes must be eliminated for terminal flower
formation inP. sativum, whereas elimination of a single gene accomplishes this inA. thaliana andA. majus. NEPTUNE also affects I2 development by limiting to two the number of flowers produced prior to stub formation. Its role is independent ofDET, as indicated by the additive nature of the double mutantdet nep. UNI, BROC, and PIM all play roles in assigning floral meristem identity to the third-order branch.pim mutants continue to produce inflorescence branches, resulting in a highly complex architecture and aberrant flowers.uni mutants initiate a whorl of sepals, but floral organogenesis is aberrant beyond that developmental point, and the double
mutantuni pim lacks identifiable floral organs. A wild-type phenotype is observed inbroc plants, butbroc enhancesthe pim phenotype in the double mutant, producing inflorescences that resemble broccoli. Collectively these genes ensure that only
the third-order meristem, not higher- or lower-order meristems, generates floral organs, thus precisely regulating the overall
architecture of the plant.
Gene symbols used in this article: For clarity a common symbolization is used for genes of all species discussed in this article.
Genes are symbolized with italicized capital letters. Mutant alleles are represented by lowercase, italicized letters. In
both cases, the number immediately following the gene symbol differentiates among genes with the same symbol. If there are
multiple alleles, a hyphen followed by a number is used to distinguish alleles. Protein products are represented by capital
letters without italics. 相似文献
19.
Background
Many studies of biochemical networks have analyzed network topology. Such work has suggested that specific types of network wiring may increase network robustness and therefore confer a selective advantage. However, knowledge of network topology does not allow one to predict network dynamical behavior – for example, whether deleting a protein from a signaling network would maintain the network's dynamical behavior, or induce oscillations or chaos. 相似文献20.
Opatowski L Temime L Varon E Leclercq R Leclerc R Drugeon H Boëlle PY Guillemot D 《PloS one》2008,3(5):e2089