RESUMO
MOTIVATION: Understanding the mechanisms of client protein interaction with Hsp70 chaperones is essential to analyze the complex dynamics in the context of normal or dysregulated metabolism. Because Hsp70 can bind millions of proteins, including key molecules involved in processes of stemness, tumorigenesis and survival, in silico prediction of Hsp70 interactions has great value in validating possible new clients. Currently, two algorithms are available to predict binding to DnaK-the bacterial Hsp70-but both are based on amino acid sequence and energy calculations of qualitative information-binders and non-binders. RESULTS: We introduce a new algorithm to identify Hsp70 binding sequences in proteins-ChaperISM-a position-independent scoring matrix trained on either qualitative or quantitative chemiluminescence data previously published, which were obtained from the interaction between DnaK and different ligands. Both versions of ChaperISM, qualitative or quantitative, resulted in an improved performance in comparison to other state-of-the-art chaperone binding predictors. AVAILABILITY AND IMPLEMENTATION: ChaperISM is implemented in Python version 3. The source code of ChaperISM is freely available for download at https://github.com/BioinfLab/ChaperISM. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Assuntos
Algoritmos , Software , Sequência de Aminoácidos , Proteínas de Choque Térmico HSP70 , Ligação ProteicaRESUMO
Some classifications of Leprosy currently in use are reviewed and the difficulties of their application in field work are analysed. While it is recognized the scientific value of these classifications in order to identify precisely the clinical, bacteriological, histological and immunological aspects of the disease, an alternative simplified classification is suggested, to be used in control programmes. In this classification clinical forms that require the same public health action are put together. Thus, clinical forms are reduced to three basic groups. The clinical and laboratory criteria which define each group are presented, as well as the correlation between this simplified classification and the classic one.
Assuntos
Hanseníase/classificação , Humanos , Hanseníase/prevenção & controleRESUMO
Neste trabalho, os autores apresentam uma revisao nos tipos de classificacao de hanseniase, atualmente em uso, alem de uma analise das dificuldades que surgem na sua aplicacao no trabalho de campo. Embora os autores reconhecam o valor cientifico dessas classificacoes, utilizadas para identificar, de modo preciso, os aspectos clinicos, bacteriologicos, histologicos e imunologicos da hanseniase, ao mesmo tempo sugerem uma classificacao mais simplificaca, como alternativa, para ser aplicada em programas de controle. Nesse novo sistema, as formas clinicas, que exigem o mesmo tipo de acao sanitaria publica foram classificadas juntas, sendo reduzidas, portanto, a tres grupos basicos. Os autores apresentam ainda os criterios clinicos e de laboratorio assim como a correlacao entre os sistemas de classificacao simplificado e classico