Dijous 11 de juny, el Dipòsit Digital no estarà operatiu de 15:00 a 17:00 h per tasques de manteniment. Disculpeu les molèsties.
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Thursday, Jun 11th, the Digital Repository will be unavailable due to a system update.

Dades (Institut de Recerca de la Biodiversitat (IRBio))

Permanent URI for this collectionhttps://hdl.handle.net/2445/125382

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    Machine-Learning QSAR Model for Predicting Activity against Malaria Parasite's Ion Pump PfATP4 and In Silico Binding Assay Validation
    (MDPI, 2017-09-08) Lopez Del Rio, Angela; Llorach Parés, Laura; Perera Lluna, Alexandre; Avila, Conxita; Nonell Canals, Alfons; Sánchez Martínez, Melchor
    Malaria is a mosquito-borne infectious disease caused by parasitic protozoans of the genus Plasmodium. Although different effective antimalarial medicines have been developed, there is serious concern that parasites are developing widespread resistance to these drugs. To avoid this, now the efforts are concentrated on treating the malaria inside the Anopheles mosquito.
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    Mouth gape determines the response of marine top predators to long-term fishery-induced changes in food web structure (Raw Data)
    (2018-10) Drago, Massimiliano; Franco-Trecu, Valentina; Segura, Angel M.; Valdivia, Meica; González, Enrique M.; Aguilar, Àlex; Cardona Pascual, Luis
    Palate breadth of South American sea lions (Otaria flavescens), South American fur seals (Arctocephalus australis) and Franciscana dolphins (Pontoporia blainvillei) from Río de la Plata estuary. Stable isotope values (δ13C and δ15N) and standard length of the Franciscana dolphin (Pontoporia blainvillei) and potential prey species off Río de la Plata estuary. δ13C and δ15N: values not corrected for isotopic baseline shifts; δ13Ccor and δ15Ncor: values corrected for isotopic baseline shifts.