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báo cáo khoa học: " Cupin: A candidate molecular structure for the Nep1-like protein family"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Cupin: A candidate molecular structure for the Nep1-like protein family | BMC Plant Biology BioMed Central Open Access Research article Cupin A candidate molecular structure for the Nepl-like protein family Adelmo L Cechin1 Marialva Sinigaglia1 Ney Lemke 2 Sérgio Echeverrigaray3 Odalys G Cabrera4 Gonẹalo AG Pereira4 and José CM Mombach5 Address 1Programa de Pós-Graduaẹão em Computaẹão Aplicada Unisinos Av. Unisinos - 950 São Leopoldo Brasil 2Departamento de Fisica e Biofisica UNESP Dist. Rubião Jr. sn Botucatu Brasil 3Instituto de Biotecnologia UCS R. Francisco Getúlio Vargas 1130 Caxias do Sul Brasil 4Departamento de Genética e Evoluẹão IB UNICAMP Campinas Brasil and 5Centro de Ciências Rurais UFPampa UFSM São Gabriel Brasil Email Adelmo L Cechin - acechin@unisinos.br Marialva Sinigaglia - msinigaglia@gmail.com Ney Lemke - lemke@ibb.unesp.br Sérgio Echeverrigaray - selaguna@ucs.br Odalys G Cabrera - odalys@lge.ibi.unicamp.br Gonẹalo AG Pereira - goncalo@unicamp.br José CM Mombach - jcmombach@smail.ufsm.br Corresponding author Published 30 April 2008 BMC Plant Biology 2008 8 50 doi 10.1186 1471-2229-8-50 Received 20 November 2007 Accepted 30 April 2008 This article is available from http www.biomedcentral.cOm 1471-2229 8 50 2008 Cechin et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background NEP1-like proteins NLPs are a novel family of microbial elicitors of plant necrosis. Some NLPs induce a hypersensitive-like response in dicot plants though the basis for this response remains unclear. In addition the spatial structure and the role of these highly conserved proteins are not known. Results We predict a 3d-structure for the -rich section of the NLPs based on alignments prediction tools and molecular dynamics. We calculated a consensus sequence from 42 NLPs proteins predicted its