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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/46680

Title: Determinants and Prediction of Esterase Substrate Promiscuity Patterns
Author(s): Martínez Martínez, M.
Coscolín, C.
Santiago, G.
Mesa Salgado, Victoria María
Peláez Andrés, Ana Isabel
Sánchez Martín, Jesús
Issue date: 2018
Publisher version: http://dx.doi.org/10.1021/acschembio.7b00996
Citation: ACS Chemical Biology, 13(1), p. 225-234 (2018); doi:10.1021/acschembio.7b00996
Format extent: p. 225-234
URI: http://hdl.handle.net/10651/46680
ISSN: 1554-8929
Sponsored: C.C. thanks the Spanish Ministry of Economy, Industry and Competitiveness for a Ph.D. fellowship (Grant BES-2015-073829). V.M. thanks the Francisco Jose de Caldas Scholarship Program (Administrative Department of Science, Technology and Innovation, COLCIENCIAS). The authors acknowledge the members of the MAMBA, MAGICPAH, ULIXES, KILLSPILL and INMARE Consortia for their support in sample collection. David Rojo is also acknowledged for his valuable help with log P calculations. This project received funding from the European Union's Horizon 2020 research and innovation program [Blue Growth: Unlocking the potential of Seas and Oceans] under grant agreement no. 634486 (project acronym INMARE). This research was also supported by the European Community Projects MAGICPAH (FP7-KBBE-2009-245226), ULIXES (FP7-KBBE-2010-266473), and KILLSPILL (FP7-KBBE-2012-312139) and grants BIO2011-25012, PCIN-2014-107, BIO2014-54494-R, and CTQ2016-79138-R from the Spanish Ministry of Economy, Industry and Competitiveness. The present investigation was also funded by the Spanish Ministry of Economy, Industry and Competitiveness within the ERA NET IB2, grant no. ERA-IB-14-030 (MetaCat), the UK Biotechnology and Biological Sciences Research Council (BBSRC), grant no. BB/M029085/1, and the German Research Foundation (FOR1296). R.B. and P.N.G. acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government. O.V.G. and P.N.G. acknowledge the support of the Centre of Environmental Biotechnology Project funded by the European Regional Development Fund (ERDF) through the Welsh Government. A.Y. and A.S. gratefully acknowledge funding from Genome Canada (2009-OGI-ABC-1405) and the NSERC Strategic Network grant IBN. A.I.P. was supported by the Counseling of Economy and Employment of the Principality of Asturias, Spain (Grant FC-15-GRUPIN14-107). V.G. acknowledges the joint BSC-CRG-IRB Research Program in Computational Biology. The authors gratefully acknowledge financial support provided by the European Regional Development Fund (ERDF).
Project id.: MINECO/BES-2015-073829
Appears in Collections:Biología Funcional
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