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371.
Singh S Stavrinides J Christendat D Guttman DS 《Molecular biology and evolution》2008,25(10):2221-2232
The shikimate dehydrogenases (SDH) represent a widely distributed enzyme family with an essential role in secondary metabolism. This superfamily had been previously subdivided into 4 enzyme groups (AroE, YdiB, SdhL, and RifI), which show clear biochemical and functional differences ranging from amino acid biosynthesis to antibiotic production. Despite the importance of this group, little is known about how such essential enzymatic functions can evolve and diversify. We dissected the enzyme superfamily with a phylogenomic analysis of approximately 250 fully sequenced genomes, making use of previously characterized representatives from each enzyme class, and the key substrate-binding residues known to distinguish substrate specificity. We identified 5 major evolutionary and functional SDH subgroups and several other potentially unique functional classes within this complex enzyme family and then validated the functional distinctiveness of each group by characterizing the 5 SDH homologs found in Pseudomonas putida KT2440 biochemically. We identified an entirely novel functionally distinct subgroup, which we designated Ael1 (AroE-like1) and also delineated a new group of shikimate/quinate dehydrogenases (YdiB2), which is phylogenetically distinct from the previously described Escherichia coli YdiB. The combination of biochemical, phylogenetic, and genomic approaches has revealed the broad extent to which the SDH enzyme superfamily has diversified. Five functional groups were validated with the potential for at least 5 additional subgroups. Our analysis also identified a new SDH functional group, which appears to have evolved recently from an ancestral AroE, illustrating a very prominent role of horizontal transmission and neofunctionalizaton in the evolutionary and functional diversification of this enzyme family. 相似文献
372.
Sasha Alexander Cara R. Nelson James Aronson David Lamb An Cliquet Kevin L. Erwin C. Max Finlayson Rudolf S. de Groot Jim A. Harris Eric S. Higgs Richard J. Hobbs Roy R. Robin Lewis III Dennis Martinez Carolina Murcia 《Restoration Ecology》2011,19(6):683-689
The Reducing Emissions from Deforestation and Forest Degradation (REDD+) mechanism has the potential to provide the developing nations with significant funding for forest restoration activities that contribute to climate change mitigation, sustainable management, and carbon‐stock enhancement. In order to stimulate and inform discussion on the role of ecological restoration within REDD+, we outline opportunities for and challenges to using science‐based restoration projects and programs to meet REDD+ goals of reducing greenhouse gas emissions and storing carbon in forest ecosystems. Now that the REDD+ mechanism, which is not yet operational, has expanded beyond a sole focus on activities that affect carbon budgets to also include those that enhance ecosystem services and deliver other co‐benefits to biodiversity and communities, forest restoration could play an increasingly important role. However, in many nations, there is a lack of practical tools and guidance for implementing effective restoration projects and programs that will sequester carbon and at the same time improve the integrity and resilience of forest ecosystems. Restoration scientists and practitioners should continue to engage with potential REDD+ donors and recipients to ensure that funding is targeted at projects and programs with ecologically sound designs. 相似文献
373.
Sasha C. Marine Sivaranjani Pagadala Fei Wang Donna M. Pahl Meredith V. Melendez Wesley L. Kline Ruth A. Oni Christopher S. Walsh Kathryne L. Everts Robert L. Buchanan Shirley A. Micallef 《Applied and environmental microbiology》2015,81(7):2395-2407
Small- and medium-size farms in the mid-Atlantic region of the United States use varied agricultural practices to produce leafy greens during spring and fall, but the impact of preharvest practices on food safety risk remains unclear. To assess farm-level risk factors, bacterial indicators, Salmonella enterica, and Shiga toxin-producing Escherichia coli (STEC) from 32 organic and conventional farms were analyzed. A total of 577 leafy greens, irrigation water, compost, field soil, and pond sediment samples were collected. Salmonella was recovered from 2.2% of leafy greens (n = 369) and 7.7% of sediment (n = 13) samples. There was an association between Salmonella recovery and growing season (fall versus spring) (P = 0.006) but not farming system (organic or conventional) (P = 0.920) or region (P = 0.991). No STEC was isolated. In all, 10% of samples were positive for E. coli: 6% of leafy greens, 18% of irrigation water, 10% of soil, 38% of sediment, and 27% of compost samples. Farming system was not a significant factor for levels of E. coli or aerobic mesophiles on leafy greens but was a significant factor for total coliforms (TC) (P < 0.001), with higher counts from organic farm samples. Growing season was a factor for aerobic mesophiles on leafy greens (P = 0.004), with higher levels in fall than in spring. Water source was a factor for all indicator bacteria (P < 0.001), and end-of-line groundwater had marginally higher TC counts than source samples (P = 0.059). Overall, the data suggest that seasonal events, weather conditions, and proximity of compost piles might be important factors contributing to microbial contamination on farms growing leafy greens. 相似文献
374.
Drew S Tack Peter D Tonner Abe Pressman Nathan D Olson Sasha F Levy Eugenia F Romantseva Nina Alperovich Olga Vasilyeva David Ross 《Molecular systems biology》2021,17(3)
Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype‐phenotype relationships remains elusive. Here, we report the large‐scale measurement of the genotype‐phenotype landscape for an allosteric protein: the lac repressor from Escherichia coli, LacI. Using a method that combines long‐read and short‐read DNA sequencing, we quantitatively measure the dose‐response curves for nearly 105 variants of the LacI genetic sensor. The resulting data provide a quantitative map of the effect of amino acid substitutions on LacI allostery and reveal systematic sequence‐structure‐function relationships. We find that in many cases, allosteric phenotypes can be quantitatively predicted with additive or neural‐network models, but unpredictable changes also occur. For example, we were surprised to discover a new band‐stop phenotype that challenges conventional models of allostery and that emerges from combinations of nearly silent amino acid substitutions. 相似文献
375.
376.
To address a growing need to make research trainees in physiology comfortable with the tools of molecular biology, we have developed a laboratory-intensive course designed for graduate students. This course is offered to a small group of students over a three-week period and is organized such that comprehensive background lectures are coupled with extensive hands-on experience. The course is divided into seven modules, each organized by a faculty member who has particular expertise in the area covered by that module. The modules focus on basic methods such as cDNA subcloning, sequencing, gene transfer, polymerase chain reaction, and protein and RNA expression analysis. Each module begins with a lecture that introduces the technique in detail by providing a historical perspective, describing both the uses and limitations of that technique, and comparing the method with others that yield similar information. Most of the lectures are followed by a laboratory session during which students follow protocols that were carefully designed to avoid pitfalls. Throughout these laboratory sessions, students are given an appreciation of the importance of proper technique and accuracy. Communication among the students, faculty, and the assistant coordinator is focused on when and why each procedure would be used, the importance of each step in the procedure, and approaches to troubleshooting. The course ends with an exam that is designed to test the students' general understanding of each module and their ability to apply the various techniques to physiological questions. 相似文献
377.
378.
Authors Index
Author index Volume 52 相似文献379.
Kay-Marie Lamar Sasha Bogdanovich Brandon B. Gardner Quan Q. Gao Tamari Miller Judy U. Earley Michele Hadhazy Andy H. Vo Lisa Wren Jeffery D. Molkentin Elizabeth M. McNally 《PLoS genetics》2016,12(5)
Latent TGFβ binding proteins (LTBPs) regulate the extracellular availability of latent TGFβ. LTBP4 was identified as a genetic modifier of muscular dystrophy in mice and humans. An in-frame insertion polymorphism in the murine Ltbp4 gene associates with partial protection against muscular dystrophy. In humans, nonsynonymous single nucleotide polymorphisms in LTBP4 associate with prolonged ambulation in Duchenne muscular dystrophy. To better understand LTBP4 and its role in modifying muscular dystrophy, we created transgenic mice overexpressing the protective murine allele of LTBP4 specifically in mature myofibers using the human skeletal actin promoter. Overexpression of LTBP4 protein was associated with increased muscle mass and proportionally increased strength compared to age-matched controls. In order to assess the effects of LTBP4 in muscular dystrophy, LTBP4 overexpressing mice were bred to mdx mice, a model of Duchenne muscular dystrophy. In this model, increased LTBP4 led to greater muscle mass with proportionally increased strength, and decreased fibrosis. The increase in muscle mass and reduction in fibrosis were similar to what occurs when myostatin, a related TGFβ family member and negative regulator of muscle mass, was deleted in mdx mice. Supporting this, we found that myostatin forms a complex with LTBP4 and that overexpression of LTBP4 led to a decrease in myostatin levels. LTBP4 also interacted with TGFβ and GDF11, a protein highly related to myostatin. These data identify LTBP4 as a multi-TGFβ family ligand binding protein with the capacity to modify muscle disease through overexpression. 相似文献
380.
Sasha M Daskalova Josiah E Radder Zbigniew A Cichacz Sam H Olsen George Tsaprailis Hugh Mason Linda C Lopez 《BMC biotechnology》2010,10(1):1-18