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Data Analysis in Chemistry and Bio-Medical Sciences

dc.contributor.authorTodeschini, Roberto
dc.contributor.authorPazos, Alejandro
dc.contributor.authorArrasate Gil, Sonia
dc.contributor.authorGonzález Díaz, Humberto
dc.date.accessioned2018-05-24T17:46:39Z
dc.date.available2018-05-24T17:46:39Z
dc.date.issued2016-12-14
dc.identifier.citationInternational Journal of Molecular Sciences 17(12) : (2016) // Article ID 2105es_ES
dc.identifier.issn1422-0067
dc.identifier.urihttp://hdl.handle.net/10810/27086
dc.description.abstractThere is an increasing necessity for multidisciplinary collaborations in molecular science between experimentalists and theoretical scientists, as well as among theoretical scientists from different fields. One of the more important forces driving this necessity is the accumulation of large amounts of data as a result of important advances in Cheminformatics and Molecular Sciences Experimental Techniques of data acquisition in general. In this context, we decided to create the MOL2NET International Conference Series on Multidisciplinary Sciences (http://sciforum.net/conferences/mol2net). The official publication platform for this conference series is SciForum, MDPI, Basel, Switzerland, and Beijing, China. The headquarters of the conference are in the Department of Organic Chemistry, University of Basque Country (UPV/EHU), Biscay, Spain.es_ES
dc.description.sponsorshipThe authors acknowledge partial financial support from CTQ2013-41229-P, CTQ2013-41229-P/BQU, and CTQ2016-74881-P funded by MINECO, Spain as well as grant IT1045-16 of Basque Government (Eusko Jaurlaritza). The guest editors of this issue sincerely thank the kind support of both the SciForum team and the IJMS Editorial staff.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CTQ2013-41229-Pes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECOCTQ2013-41229-P/BQUes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CTQ2016-74881-Pes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectbinding affinitieses_ES
dc.subjectacid-derivativeses_ES
dc.subjectpredictiones_ES
dc.subjectmodeles_ES
dc.titleData Analysis in Chemistry and Bio-Medical Scienceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttp://www.mdpi.com/1422-0067/17/12/2105/htmes_ES
dc.identifier.doi10.3390/ijms17122105
dc.departamentoesQuímica orgánica IIes_ES
dc.departamentoeuKimika organikoa IIes_ES


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© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).