Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning von Robinson, RLM, Sarimveis, H, Doganis, P, Jia, X, Kotzabasaki, M, Gousiadou, C, Harper, SL, Wilkins, T

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Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish von Gousiadou, C, Marchese Robinson, RL, Kotzabasaki, M, Doganis, P, Wilkins, TA, Jia, X, Sarimveis, H, Harper, SL

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Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish von Gousiadou, C., Robinson, R. L. Marchese, Kotzabasaki, M., Doganis, P., Wilkins, T. A., Jia, X., Sarimveis, H., Harper, S. L.

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A novel amyloid designable scaffold and potential inhibitor inspired by GAIIG of amyloid beta and the HIV‐1 V3 loop von Kokotidou, Chrysoula, Jonnalagadda, Sai Vamshi R., Orr, Asuka A., Seoane‐Blanco, Mateo, Apostolidou, Chrysanthi Pinelopi, Raaij, Mark J., Kotzabasaki, Marianna, Chatzoudis, Apostolos, Jakubowski, Joseph M., Mossou, Estelle, Forsyth, V. Trevor, Mitchell, Edward P., Bowler, Matthew W., Llamas‐Saiz, Antonio L., Tamamis, Phanourios, Mitraki, Anna

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Dataset for: A Novel Amyloid Designable Scaffold and Potential Inhibitor Inspired by GAIIG of Amyloid Beta and the HIV-1 V3 loop von Mitraki, Anna, Kokotidou, Chrysoula, Vamshi S.R. Jonnalagadda, Orr, Asuka A, Blanco, Matteo Seoane, Apostolidou, Chrysanthi Pinelopi, Raaij, Mark Van, Kotzabasaki, Marianna, Chatzoudis, Apostolos, Jakubowski, Joseph M, EStelle Mossou, Forsyth, Trevor V, Mitchell, Edward, Bowler, Matthew William, Llamas-Saiz, Antonio L, Phanourios Tamamis

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