Interatómica da cavidade oral

: oralint V2.0

Abstract

Introduction: Proteins are essential to the organism, and many are involved in the regulation of relevant cellular processes. Protein-protein interaction is one of the mechanisms used in the oral cavity for the establishment of microorganism-host interaction. Despite the recognized importance of microorganisms, the specific knowledge of the interactions established between them and the Human is currently an important topic of research that aims to understand, from the molecular point of view, the colonization of the human body by microorganisms. Many proteomics results have been published on microbial and host proteins, now we must think of ways to analyze and interlink the knowledge produced by laboratory work. For this purpose several computational methods emerged for predicting protein-protein interactions. The analysis and critical interpretation of data generated by the Omics sciences for new proposals of interactions with biological significance is only possible with computational methods using bioinformatics tools. Objectives: To analyze and discuss the results obtained by OralInt v2.0 in the light of biological knowledge. To generate information that will allow the improvement of the performance of OralInt v2.0. Methods: From the results of OralInt v2.0, 200,000 interactions were selected with the highest confidence level and analyzed with various software tools. Results and Discussion: The OralInt v2.0 analyzed 21086 proteins, and produced a large number of predicted interactions. Only the interactions with a significance level between 1 and 0,925 were analyzed. The interactome of the oral cavity, was constructed with 10,768 proteins. However, 47% of the interactions are established between the host and microbial proteins. The topological analysis of the interactome of the oral cavity presents a distribution network compatible with interactions of other PPIs networks studied, in which most proteins (74%) have a low number of prediction interaction ([1- 25]). New interactions not previously described are proposed for Porphyromonas gingivalis and Streptococcus mutans. Conclusion: Although the current version of OralInt v2.0 can make a close prediction of what is thought to be the oral environment (there are more microbiome interactions / host predicted), further adjustments are required to include interactions between proteins described in the literature. Furthermore, it is necessary to look at the parameters analyzed by OralInt v2.0 to ensure that biological parameters of proteins are given more weight in the obtained predictions

Date of Award	2015
Original language	Portuguese
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Maria José Correia (Supervisor) & Joel Arrais (Co-Supervisor)