Search results for "NIP"
showing 10 items of 775 documents
Neural network approach to solving fuzzy nonlinear equations using Z-numbers
2020
In this article, the fuzzy property is described by means of the Z-number as the coefficients and variables of the fuzzy equations. This alteration for the fuzzy equation is appropriate for system modeling with Z-number parameters. In this article, the fuzzy equation with Z-number coefficients and variables is tended to be used as the models for the uncertain systems. The modeling issue related to the uncertain system is to obtain the Z-number coefficients and variables of the fuzzy equation. Nevertheless, it is extremely hard to get the Z-number coefficients of the fuzzy equations. In this article, in order to model the uncertain nonlinear systems, a novel structure of the multilayer neura…
Quantum Dual Adversary for Hidden Subgroups and Beyond
2019
An explicit quantum dual adversary for the S-isomorphism problem is constructed. As a consequence, this gives an alternative proof that the query complexity of the dihedral hidden subgroup problem is polynomial.
Immune depression induced by acanthocephalan parasites in their intermediate crustacean host: consequences for the risk of super-infection and links …
2009
9 pages; International audience; Parasite survival in hosts mainly depends on the capacity to circumvent the host immune response. Acanthocephalan infections in gammarids are linked with decreased activity of the prophenoloxidase (ProPO) system, suggesting an active immunosuppression process. Nevertheless, experimental evidence for this hypothesis is lacking: whether these parasites affect several immune pathways is unknown and the consequences of such immune change have not been investigated. In particular, the consequences for other pathogens are not known; neither are the links with other parasite-induced manipulations of the host. Firstly, using experimental infections of Pomphorhynchus…
Potent Inhibitor of Human Trypsins from the Aeruginosin Family of Natural Products
2021
Funding Information: We would like to thank A. Löfhjelm and L. Saari for excellent technical assistance. This work was supported by a Sigrid Jusélius Foundation grant to H.K. and the Academy of Finland funding (321809) to T.S. We would also like to thank the Erkko Foundation and Nordforsk Nordic center of Excellency NordAqua (project number #82845) and University of Helsinki’s Doctoral Programme in Microbiology and Biotechnology funding to M.N.A. D.O.A. was supported by a postdoctoral research fellowship from the São Paulo Research Foundation (FAPESP #2018/01563-2). We thank Biocenter Kuopio for the use of their facilities for molecular modeling and MD simulations. We thank the DNA Sequenci…
Cryo-negative staining
1998
Abstract A procedure is presented for the preparation of thin layers of vitrified biological suspensions in the presence of ammonium molybdate, which we termcryo-negative staining. The direct blotting of sample plus stain solution on holey carbon supports produces thin aqueous films across the holes, which are routinely thiner than the aqueous film produced by conventional negative staining on a continuous carbon layer. Because of this, a higher than usual concentration of negative stain (ca. 16% rather than 2%) is required for cryo-negative staining in order to produce an optimal image contrast. The maintenance of the hydrated state, the absence of adsorption to a carbon film and associate…
Toward completion of the Earth’s proteome: an update a decade later
2017
Protein databases are steadily growing driven by the spread of new more efficient sequencing techniques. This growth is dominated by an increase in redundancy (homologous proteins with various degrees of sequence similarity) and by the incapability to process and curate sequence entries as fast as they are created. To understand these trends and aid bioinformatic resources that might be compromised by the increasing size of the protein sequence databases, we have created a less-redundant protein data set. In parallel, we analyzed the evolution of protein sequence databases in terms of size and redundancy. While the SwissProt database has decelerated its growth mostly because of a focus on i…
Do distantly related parasites rely on the same proximate factors to alter the behaviour of their hosts?
2006
Phylogenetically unrelated parasites often increase the chances of their transmission by inducing similar phenotypic changes in their hosts. However, it is not known whether these convergent strategies rely on the same biochemical precursors. In this paper, we explored such aspects by studying two gammarid species ( Gammarus insensibilis and Gammarus pulex ; Crustacea: Amphipoda: Gammaridae) serving as intermediate hosts in the life cycle of two distantly related parasites: the trematode, Microphallus papillorobustus and the acanthocephalan, Polymorphus minutus . Both these parasite species are known to manipulate the behaviour of their amphipod hosts, bringing them towards the water surfa…
Proteomic composition of Nipah virus-like particles
2017
Abstract Virions are often described as virus-only entities with no cellular components with the exception of the lipids in their membranes. However, advances in proteomics are revealing substantial amounts of host proteins in the viral particles. In the case of Nipah virus (NiV), the viral components in the virion have been known for some time. Nonetheless, no information has been obtained regarding the cellular proteins in the viral particles. To address this question, we produced Virus-Like Particles (VLPs) for NiV by expressing the F, G and M proteins in human-derived cells. Next, the proteomic content in these VLPs was analyzed by LC-MS/MS. We identified 67 human proteins including sol…
Using Deep Learning to Extrapolate Protein Expression Measurements
2020
Mass spectrometry (MS)-based quantitative proteomics experiments typically assay a subset of up to 60% of the ≈20 000 human protein coding genes. Computational methods for imputing the missing values using RNA expression data usually allow only for imputations of proteins measured in at least some of the samples. In silico methods for comprehensively estimating abundances across all proteins are still missing. Here, a novel method is proposed using deep learning to extrapolate the observed protein expression values in label-free MS experiments to all proteins, leveraging gene functional annotations and RNA measurements as key predictive attributes. This method is tested on four datasets, in…
Proteomic fingerprinting of apple fruit, juice, and cider via combinatorial peptide ligand libraries and MS analysis
2018
Combinatorial peptide ligand libraries coupled to MS was applied to extensively map the proteome of apple fruit, and to detect its presence in commercial apple juice and cider to evaluate their authenticity and genuineness. Using the Uniprot_Malus database, 96 proteins were detected in apples, among which 30 proteins were specifically captured via combinatorial peptide ligand libraries. Next, three proteins, previously recognized in fruits, were found in apple juice, which were involved in cellular metabolism of fruit maturation and in allergenic reactions. On the other hand, only one Malus allergen was identified in cider beads eluate, demonstrating that the industrial processes did not pr…