Motifs Prediction
Mostrando 1-12 de 77 artigos, teses e dissertações.
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1. In Silico Characterization of Meloidogyne Genus Nematode Cellulose Binding Proteins
Abstract Root-knot nematodes are a group of endoparasites species that induce the formation of giant cells in the hosts, by which they guarantee their feeding and development. Meloidogyne species infect over 2000 plant species, and are highly destructive, causing damage to many crops around the world. M. enterolobii is considered the most aggressive species
Braz. arch. biol. technol.. Publicado em: 13/05/2019
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2. Sequence analysis of the cDNA encoding for SpCTx: a lethal factor from scorpionfish venom ( Scorpaena plumieri )
Abstract Background: Lethal factors are multifunctional oligomeric proteins found in the venomous apparatus of Scorpaeniformes fish. These toxins elicit not only an array of biological responses in vitro but also cardiovascular disorders and strong hemolytic, nociceptive and edematogenic activities in vivo. This work describes the cloning and molecular iden
J. Venom. Anim. Toxins incl. Trop. Dis. Publicado em: 21/09/2018
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3. A conventional PCR for differentiating common taeniid species of dogs based on in silico microsatellite analysis
ABSTRACT Canine taeniids are among the major tapeworms with remarkable medical and economic significance. Reliable diagnosis and differentiation of dog taeniids using simple and sensitive tools are of paramount importance for establishing an efficient surveillance system. Microsatellites as abundant unique tandem repeats of short DNA motifs are useful geneti
Rev. Inst. Med. trop. S. Paulo. Publicado em: 04/09/2017
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4. Mecanismos intraflagelares de transporte e trânsito de proteínas: uma abordagem pós-genômica e computacional de caracterização da virulência flagelar em Leishmania spp. / Intraflagelares mechanisms of transport and transit proteins: a post-genomics and computational characterization of virulence flagellar Leishmania spp.
Leishmania are flagellated protozoa that cause a main neglected diseasease, collectively known as leishmaniases, posing a constant challenge for the control and prevention of the disease due to the wide-world distribution and prevalence of these parasites. As an insinuating pathogen, Leishmania has a specialized organelle for motility, the flagellum, which i
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/01/2011
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5. Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters
Promoters are DNA sequences located upstream of the gene region and play a central role in gene expression. Computational techniques show good accuracy in gene prediction but are less successful in predicting promoters, primarily because of the high number of false positives that reflect characteristics of the promoter sequences. Many machine learning method
Genetics and Molecular Biology. Publicado em: 2011
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6. Predição In Silico de Epítopos de Microrganismos com Identidade a Autoantígenos Humanos / In Silico Prediction of Microorganism Motifs with Identity to Human Autoantigens
The origin of autoimmune diseases is multifactorial. It involves environmental conditions and genetic predisposition that difficulties its identification. Several researchers have studied the association between infectious agents and autoimmunity, which can be initiated by a process named molecular mimicry. In this case, cross immune responses involving self
Publicado em: 2010
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7. Aplicação de métodos estatísticos e computacionais para o estudo da cis-regulação da expressão gênica / Aplication of computational and statistical methods for the study of cis-regulation of genic expression
Ferramentas bioinformática têm se tornado a escolha para auxiliar pesquisadores tanto para a anotação de novos genes, como para estudar genes em condições fisiológicas de interesse. Entre essas ferramentas destacam-se os algoritmos de agrupamento filogenético e os algoritmos de predição de padrões curtos de DNA, como, por exemplo, predições de s
Publicado em: 2010
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8. Prediction of consensus structural motifs in a family of coregulated RNA sequences
Given a set of homologous or functionally related RNA sequences, the consensus motifs may represent the binding sites of RNA regulatory proteins. Unlike DNA motifs, RNA motifs are more conserved in structures than in sequences. Knowing the structural motifs can help us gain a deeper insight of the regulation activities. There have been various studies of RNA
Oxford University Press.
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9. GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions
Improving the accuracy of prediction of gene starts is one of a few remaining open problems in computer prediction of prokaryotic genes. Its difficulty is caused by the absence of relatively strong sequence patterns identifying true translation initiation sites. In the current paper we show that the accuracy of gene start prediction can be improved by c
Oxford University Press.
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10. Toward predicting protein topology: An approach to identifying β hairpins
Although secondary structure prediction methods have recently improved, progress from secondary to tertiary structure prediction has been limited. A promising but largely unexplored route to this goal is to predict structure motifs from secondary structure knowledge. Here we present a novel method for the recognition of β hairpins that combines secondary st
National Academy of Sciences.
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11. Hidden localization motifs: naturally occurring peroxisomal targeting signals in non-peroxisomal proteins
Functional but silent peroxisomal targeting signals have been found in non- peroxisomal proteins. This discovery has important implications for sequence-based signal prediction and for evolution.
BioMed Central.
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12. Novel transcription regulatory elements in Caenorhabditis elegans muscle genes
We report the identification of three new transcription regulatory elements that are associated with muscle gene expression in the nematode Caenorhabditis elegans. Starting from a subset of well-characterized nematode muscle genes, we identified conserved DNA motifs in the promoter regions using computational DNA pattern-recognition algorithms. These were co
Cold Spring Harbor Laboratory Press.