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Background
Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number of true substitutions given an observed alignment. So far, the most accurate protein distance estimators have looked for the optimal matrix in a series of transition probability matrices, e.g. the Dayhoff series. The evolutionary distance between two aligned sequences is here estimated as the evolutionary distance of the optimal matrix. The optimal matrix can be found either by an iterative search for the Maximum Likelihood matrix, or by integration to find the Expected Distance. As a consequence, these methods are more complex to implement and computationally heavier than correction-based methods. Another problem is that the result may vary substantially depending on the evolutionary model used for the matrices. An ideal distance estimator should produce consistent and accurate distances independent of the evolutionary model used. 相似文献6.
Background
Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling are not fully known. In the present work we approached this by using two of the most popular HMM packages: SAM and HMMER. The programs' abilities to build models and score sequences were compared on a SCOP/Pfam based test set. The comparison was done separately for local and global HMM scoring. 相似文献7.
Hobbs JK Shepherd C Saul DJ Demetras NJ Haaning S Monk CR Daniel RM Arcus VL 《Molecular biology and evolution》2012,29(2):825-835
Thermophily is thought to be a primitive trait, characteristic of early forms of life on Earth, that has been gradually lost over evolutionary time. The genus Bacillus provides an ideal model for studying the evolution of thermophily as it is an ancient taxon and its contemporary species inhabit a range of thermal environments. The thermostability of reconstructed ancestral proteins has been used as a proxy for ancient thermal adaptation. The reconstruction of ancestral "enzymes" has the added advantages of demonstrable activity, which acts as an internal control for accurate inference, and providing insights into the evolution of enzymatic catalysis. Here, we report the reconstruction of the structurally complex core metabolic enzyme LeuB (3-isopropylmalate dehydrogenase, E. C. 1.1.1.85) from the last common ancestor (LCA) of Bacillus using both maximum likelihood (ML) and Bayesian inference. ML LeuB from the LCA of Bacillus shares only 76% sequence identity with its closest contemporary homolog, yet it is fully functional, thermophilic, and exhibits high values for k(cat), k(cat)/K(M), and ΔG(?) for unfolding. The Bayesian version of this enzyme is also thermophilic but exhibits anomalous catalytic kinetics. We have determined the 3D structure of the ML enzyme and found that it is more closely aligned with LeuB from deeply branching bacteria, such as Thermotoga maritima, than contemporary Bacillus species. To investigate the evolution of thermophily, three descendents of LeuB from the LCA of Bacillus were also reconstructed. They reveal a fluctuating trend in thermal evolution, with a temporal adaptation toward mesophily followed by a more recent return to thermophily. Structural analysis suggests that the determinants of thermophily in LeuB from the LCA of Bacillus and the most recent ancestor are distinct and that thermophily has arisen in this genus at least twice via independent evolutionary paths. Our results add significant fluctuations to the broad trend in thermal adaptation previously proposed and demonstrate that thermophily is not exclusively a primitive trait, as it can be readily gained as well as lost. Our findings also demonstrate that reconstruction of complex functional Precambrian enzymes is possible and can provide empirical access to the evolution of ancient phenotypes and metabolisms. 相似文献
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Rikke S?e Michael T Overgaard Anni R Thomsen Lisbeth S Laursen Inger M Olsen Lars Sottrup-Jensen Jesper Haaning Linda C Giudice Cheryl A Conover Claus Oxvig 《European journal of biochemistry》2002,269(8):2247-2256
Murine pregnancy-associated plasma protein-A (PAPP-A) cDNA encoding a 1545 amino-acid protein has been cloned. We have also identified and cloned cDNA that encodes a novel variant of PAPP-A, PAPP-Ai, carrying a 29-residue highly basic insert. The point of insertion corresponds to a junction between two exons in the human PAPP-A gene. The human intron flanked by these exons does not encode a homologous corresponding insert, which is unique to the mouse. The overall sequence identity between murine and human PAPP-A is 91%, and murine PAPP-A contains sequence motifs previously described in the sequence of human PAPP-A. Through expression in mammalian cells, we show that murine PAPP-A and PAPP-Ai are active metalloproteinases, both capable of cleaving insulin-like growth factor binding protein (IGFBP)-4 and -5. Cleavage of IGFBP-4 is dramatically enhanced by the addition of IGF, whereas cleavage of IGFBP-5 is slightly inhibited by IGF, as previously established with human PAPP-A. Surprisingly, however, quantitative analyses demonstrate that the murine PAPP-Ai cleaves IGFBP-4 very slowly compared to PAPP-A, even though its ability to cleave IGFBP-5 is unaffected by the presence of the insert. By RT-PCR analysis, we find that both variants are expressed in several tissues. The level of mRNA in the murine placenta does not exceed the levels of other tissues analyzed. Furthermore, the IGFBP-4-proteolytic activity of murine pregnancy serum is not elevated. This is in striking contrast to the increase seen in human pregnancy serum, and the expression of PAPP-A in the human placenta, which exceeds other tissues at least 250-fold. Interestingly, the position of the insert of PAPP-Ai, within the proteolytic domain, lies in close proximity to the cysteine residue, which in human PAPP-A forms a disulfide bond with the proform of eosinophil major basic protein (proMBP). ProMBP functions as a proteinase inhibitor in the PAPP-A-proMBP complex, but whether any mechanistic parallel on regulation of proteolytic activity can be drawn between the insert of PAPP-Ai and the linkage to proMBP is not known. Importantly, these data support the development of the mouse as a model organism for the study of PAPP-A, which must take into account the differences between the mouse and the human. 相似文献
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