Malaria Journal

official impact factor 3.49

Open Access Highly Access Methodology

Algorithms to predict cerebral malaria in murine models using the SHIRPA protocol

Yuri C Martins1*, Guilherme L Werneck2, Leonardo J Carvalho1,4, Beatriz PT Silva1, Bruno G Andrade1, Tadeu M Souza3, Diogo O Souza3 and Cláudio T Daniel-Ribeiro1

Author Affiliations

1 Laboratório de Pesquisas em Malária, Instituto Oswaldo Cruz, FIOCRUZ, Pavilhão Leonidas Deane sala 515 - Av. Brasil, 4365 - Manguinhos, Cep: 21045-900 - Rio de Janeiro - RJ, Brasil

2 Departamento de Endemias Samuel Pessoa, Escola Nacional de Saúde Pública, FIOCRUZ, Rio de Janeiro, Brazil

3 Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

4 La Jolla Bioengineering Institute, La Jolla, CA, USA

For all author emails, please log on.

Malaria Journal 2010, 9:85 doi:10.1186/1475-2875-9-85

Published: 24 March 2010

Additional files

Additional file 1:

A protocol showing how the primary screen of SHIRPA tests were performed and scored.

Format: PDF Size: 60KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Values of individual SHIRPA tests and functional category scores of infected non-CM (CM-) mice on days 4 - 6 post-infection were compared with cerebral malaria (CM+) mice in this Table.

Format: DOC Size: 89KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data