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Kaphta:Text mining web tool to extract information on the anticancer activity of polyphenols

Journal of Polyphenols 2022年第2期4卷 87-100页

作者： Ramon Gustavo Teodoro Marques da Silva Samuel Lucas Santos Gomes Paulo Muniz deÁvila Gustavo Joséda Silva Ana Lucia Fachin edilson carlos caritá Mozart Marins Biotechnology Unit University of Ribeirão PretoAv.Costábile Romano 2201Ribeirão PretoSP 14096-900Brazil Federal Institute of Education Science and Technology of South of Minas Gerais–IFSULDEMINASPouso AlegreMG 37550-000Brazil Medicine School University of Ribeirão PretoRibeirão PretoSP 14096-900Brazil Centro de Ciências Exatas Naturais e TecnológicasUniversidade de Ribeirão PretoRibeirão Preto SP 14096-900Brazil

In this paper,we describe the application of Kaphta architecture,a resource for text mining of the anticancer activity of *** anticancer activity of these compounds against different types of cancer has been widely reported in the literature and they are one of the most promising molecules for the development of anticancer *** architecture,which comprises four sequential and well-defined steps,uses a hybrid approach composed of a dictionary,rules and machine learning to identify abstracts containing sentences with associations between polyphenol,cancer and gene *** application of the architecture on 23826 PubMed abstracts generated a knowledge base of indexed abstracts with 172169 sentences containing,polyphenol-cancer and polyphenol-gene associations.A Web tool was implemented that allowed the user to search for information on 2006 polyphenols,240 cancers and 3121 genes entities,and 11750 polyphenol-cancer and 9160 polyphenol-gene associations indexed in the knowledge base.A ranking algorithm calculates scores for each indexed abstract considering the number and type of sentences with entities and rules recognized.A test with users demonstrated that the visualization resources on the web tool contributes to the understanding of the association between polyphenols,genes and cancers,in comparison with the PubMed *** Kaphta architecture and web tool permits to extract knowledge on the anticancer activity of polyphenols and can thus contribute to the exploration of these molecules in the development of anticancer therapies.

关键词： polyphenols cancer text-mining

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Challenges in the chemotherapy of Chagas disease: Looking for possibilities related to the differences and similarities between the parasite and host

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World Journal of Biological Chemistry 2017年第1期8卷 57-80页

作者： Vitor Sueth-Santiago Debora Decote-Ricardo Alexandre Morrot Celio Geraldo Freire-de-Lima Marco edilson Freire Lima Instituto Federal de Educacao Ciência e Tecnologia do Rio de JaneiroCampus Sao Goncalo Universidade Federal Rural do Rio de Janeiro Instituto de Ciências ExatasDepartamento de Química Universidade Federal Rural do Rio de Janeiro Instituto de VeterináriaDepartamento de Microbiologia e Imunologia Veterinária Universidade Federal do Rio de Janeiro

Almost 110 years after the first studies by Dr. carlos Chagas describing an infectious disease that was named for him, Chagas disease remains a neglected illness and a death sentence for infected people in poor countries. This short review highlights the enormous need for new studies aimed at the development of novel and more specific drugs to treat chagasic patients. The primary tool for facing this challenge is deep knowledge about the similarities and differences between the parasite and its human host.

关键词： Trypanosoma cruzi Trans-sialidase Trypanothione reductase CYP51 Cruzipain Tubulin

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