Características de acidentes com animais peçonhentos registrados no Paraná no período de 2007-2016 / Characteristics of accidents with venomous animals recorded in Paraná in the period 2007-2016

2021 ◽  
Vol 7 (8) ◽  
pp. 80331-80334
Author(s):  
Mirella Machado Ortiz ◽  
Paola Kallyana Guarneri Carvalho De Lima ◽  
Rosana Rosseto De Oliveira ◽  
Magda Lúcia Félix de Oliveira De Oliveira
Keyword(s):  
Venomous Animals

Animal Venoms have Potential to Treat Cancer

2019 ◽  
Vol 18 (30) ◽  
pp. 2555-2566 ◽  
Author(s):  
Bhaswati Chatterjee
Keyword(s):  
Cancer Therapeutics ◽  
Sea Anemones ◽  
Anticancer Activities ◽  
Inhibition Of Proliferation ◽  
Cycle Arrest ◽  
Venomous Animals ◽  
Anti Cancer ◽  
Cancerous Cells ◽  
Animal Venoms ◽  
Proteins And Peptides

The resistance to chemotherapeutics by the cancerous cells has made its treatment more complicated. Animal venoms have emerged as an alternative strategy for anti-cancer therapeutics. Animal venoms are cocktails of complex bioactive chemicals mainly disulfide-rich proteins and peptides with diverse pharmacological actions. The components of venoms are specific, stable, and potent and have the ability to modify their molecular targets thus making them good therapeutics candidates. The isolation of cancer-specific components from animal venoms is one of the exciting strategies in anti-cancer research. This review highlights the identified venom peptides and proteins from different venomous animals like snakes, scorpions, spiders, bees, wasps, snails, toads, frogs and sea anemones and their anticancer activities including inhibition of proliferation of cancer cells, their invasion, cell cycle arrest, induction of apoptosis and the identification of involved signaling pathways.

scholarly journals Structural venomics reveals evolution of a complex venom by duplication and diversification of an ancient peptide-encoding gene

2020 ◽  
Vol 117 (21) ◽  
pp. 11399-11408 ◽  
Author(s):  
Sandy S. Pineda ◽  
Yanni K.-Y. Chin ◽  
Eivind A. B. Undheim ◽  
Sebastian Senff ◽  
Mehdi Mobli ◽  
...  
Keyword(s):  
Structural Biology ◽  
Toxin Gene ◽  
Pharmacological Activities ◽  
Diverse Range ◽  
Complex Chemical ◽  
Venom Peptides ◽  
Web Spider ◽  
Venomous Animals ◽  
Encoding Gene

Spiders are one of the most successful venomous animals, with more than 48,000 described species. Most spider venoms are dominated by cysteine-rich peptides with a diverse range of pharmacological activities. Some spider venoms contain thousands of unique peptides, but little is known about the mechanisms used to generate such complex chemical arsenals. We used an integrated transcriptomic, proteomic, and structural biology approach to demonstrate that the lethal Australian funnel-web spider produces 33 superfamilies of venom peptides and proteins. Twenty-six of the 33 superfamilies are disulfide-rich peptides, and we show that 15 of these are knottins that contribute >90% of the venom proteome. NMR analyses revealed that most of these disulfide-rich peptides are structurally related and range in complexity from simple to highly elaborated knottin domains, as well as double-knot toxins, that likely evolved from a single ancestral toxin gene.

scholarly journals Machine learning can differentiate venom toxins from other proteins having non-toxic physiological functions

2016 ◽  
Vol 2 ◽  
pp. e90 ◽  
Author(s):  
Ranko Gacesa ◽  
David J. Barlow ◽  
Paul F. Long
Keyword(s):  
Machine Learning ◽  
Sequence Data ◽  
Biological Data ◽  
Biological Databases ◽  
Web Based ◽  
Physiological Functions ◽  
Link Type ◽  
Venom Toxins ◽  
Venomous Animals ◽  
Toxin Protein

Ascribing function to sequence in the absence of biological data is an ongoing challenge in bioinformatics. Differentiating the toxins of venomous animals from homologues having other physiological functions is particularly problematic as there are no universally accepted methods by which to attribute toxin function using sequence data alone. Bioinformatics tools that do exist are difficult to implement for researchers with little bioinformatics training. Here we announce a machine learning tool called ‘ToxClassifier’ that enables simple and consistent discrimination of toxins from non-toxin sequences with >99% accuracy and compare it to commonly used toxin annotation methods. ‘ToxClassifer’ also reports the best-hit annotation allowing placement of a toxin into the most appropriate toxin protein family, or relates it to a non-toxic protein having the closest homology, giving enhanced curation of existing biological databases and new venomics projects. ‘ToxClassifier’ is available for free, either to download (https://github.com/rgacesa/ToxClassifier) or to use on a web-based server (http://bioserv7.bioinfo.pbf.hr/ToxClassifier/).

scholarly journals Os desafios enfrentados pela equipe editorial do Journal of Venomous Animals and Toxins including Tropical Diseases na transição entre dois publishers de renome internacional

2020 ◽  
Vol 7 (esp.) ◽  
pp. 47
Author(s):  
Claudia Vilalva Cassaro ◽  
Juliana Siani Simionato ◽  
Selma de Lourdes Pires Martins ◽  
José Claudio Pires Martins ◽  
Lucilene Delazari Santos ◽  
...  
Keyword(s):  
Web Of Science ◽  
Sao Paulo ◽  
Biomed Central ◽  
Tropical Diseases ◽  
São Paulo ◽  
Electronic Library ◽  
Pubmed Central ◽  
Venomous Animals

<p><em>The Journal of Venomous Animals and Toxins,</em> criado em 1995 no Centro de Estudos de Venenos e Animais Peçonhentos (CEVAP) da Universidade Estadual Paulista (UNESP), São Paulo, Brasil, foi a primeira revista digital brasileira. Em 1998 foi selecionada para integrar a base SciELO (<em>Scientific Electronic Library Online</em>), e em 2003, para se tornar mais abrangente, as Doenças Tropicais foram incluídas no seu escopo. Denominou-se então <em>The Journal of Venomous Animals and Toxins including Tropical Diseases.</em> Em 2006 foi selecionada para integrar duas Bases internacionais estratégicas: a <em>Web of Science</em> da <em>Clarivate Analytics</em>, que publica anualmente o Fator de Impacto, e a <em>Scopus</em> da <em>Elsevier</em>, que publica o <em>Cites per Doc</em> e o <em>CiteScore</em>. Como estes índices se estabilizaram até 2012 entre 0.30 e 0.50, o Conselho Editorial decidiu estabelecer parceria com a <em>BioMed Central Springer-Nature</em>, um <em>publisher</em> comercial de acesso aberto e de renome internacional. Houve, nesta ocasião, uma reestruturação importante do periódico, incluindo a publicação em fluxo contínuo e a indexação no <em>PubMed Central</em>, com vistas à melhoria da qualidade e do aumento das métricas. Em 2018 o Fator de Impacto alcança o valor de 2.935, o <em>Cites per Doc</em> o de 2.973 e o <em>CiteScore</em> de 2.630. Em seis anos os indicadores tiveram um incremento substancial, ou seja, de 0.5 para 2.9. Tendo em vista os elevados investimentos necessários para renovação do contrato de parceria, e por tratar-se de uma publicação acadêmica e não-comercial, o corpo editorial decidiu manter o acesso aberto e tentar a sustentabilidade financeira do periódico a médio prazo, trazendo a publicação de volta ao Brasil a partir de 2019. A equipe SciELO acolheu a corajosa iniciativa e tornou-se o novo parceiro neste desafio. As estratégias adotadas na transição estão descritas em detalhes no “relato de experiência”.</p>

scholarly journals Medically Important Venomous Animals: Biology, Prevention, First Aid, and Clinical Management

2006 ◽  
Vol 43 (10) ◽  
pp. 1309-1317 ◽  
Author(s):  
C. D. Ericsson ◽  
C. Hatz ◽  
T. Junghanss ◽  
M. Bodio
Keyword(s):  
Clinical Management ◽  
First Aid ◽  
Venomous Animals
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