Session S01 - Modeling and Computation for Control and Optimization of Biological and Physical Systems

Thursday, July 15, 13:00 ~ 13:25 UTC-3

$(Bio)-$fueling protein-protein interaction using data mining

Gabriel Soto

Universidad Nacional de la Patagonia San Juan Bosco, Argentina   -   This email address is being protected from spambots. You need JavaScript enabled to view it.

Biofuels are currently on high demand because of rising oil prices and limitations on oil reserves. Finding new sources for biofuels such as triacylglycerols (TAG), is highly important from a biotechnological point of view. Oleaginous organisms such as Rhodococcus jostii (RHA1) have the capacity, under stress conditions to accumulate TAGs at more than 20\% of their dry weight. For this lipid accumulation to occur, it requires an integral configuration of metabolism and regulatory processes rather than the sole existence of an efficient lipid biosynthesis pathway. Even thought there have been important advances in our basic understanding of bacterial TAG biosynthesis, many questions remain unanswered. One is the complete characterization of the protein-protein interaction map (PPI) of Rhodococcus jostii. In this presentation, we present results obtained by applying the clustering method \textit{affinity propagation} (AP) on proteomic data from RHA1 that allow us to uncover potentially new protein-protein interactions to be tested experimentally.

Joint work with Nelson Villagra (Universidad Nacional de la Patagonia San Juan Bosco, Argentina), Pablo Rodriguez (Universidade Federal de Pernambuco, Brazil), Héctor Álvarez (INBIOP-CONICET, Universidad Nacional de la Patagonia San Juan Bosco, Argentina) and Roxana Silva (INBIOP-CONICET, Universidad Nacional de la Patagonia San Juan Bosco, Argentina).

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