MOL2NET, International Conference on Multidisciplinary Sciences
Welcome to the MOL2NET International Conference, 5–15 December 2015, Online
The full title of this conference is MOL2NET, the 1st International Conference on Multidisciplinary Sciences. MOL2NET (the conference's running title) will be held from 5-15 December 2015 on the Sciforum platform. This running title is inspired by the possibility of multidisciplinary collaborations in science between experimentalists and theoretical scientists; represented disciplines will encompass the molecular and biomedical sciences, social networks analysis, and beyond. More specifically, this conference aims to promote scientific synergies between groups of experimental molecular and bio-medical scientists. Relevant fields include chemistry, pharmacology, cancer research, proteomics, the neurosciences, the nanosciences, and epidemiology. Moreover, the conference welcomes computational and social sciences experts from different areas, such as computational chemistry, bioinformatics, social networks analysis, big data predictive analytics, biostatistics, etc.
The conference per se is the result of the synergy between the Department of Organic Chemistry, University of Basque Country (UPV/EHU), and IKERBASQUE, Basque Foundation for Sciences, with the Faculty of Informatics, University of Coruña (UDC). Accepted papers will be published in the proceedings of the conference, and selected papers will be considered for publication in the journal International Journal of Molecular Sciences (IJMS), ISSN 1422-0067, JCR Impact Factor 2014 IF = 2.86. This is an open access publication journal of MDPI in the field of Molecular and Biomedical Sciences (http://www.mdpi.com/journal/ijms). The link to the call for papers of this special issue is: http://www.mdpi.com/journal/ijms/special_issues/QSAR_QSPR_Chemistry. In addition, promotional videos in different languages and additional materials of related topics are expected to be released in the YouTube channel of MOL2NET http://bit.do/mol2net, in MOL2NET's Twitter account @mol2net, and in the Facebook group of the conference https://www.facebook.com/groups/chembioinfo.networks/, which has +8000 followers at this moment. We also invite all colleagues to share the conference website through social media. Some of the main topics of interest are explained in the section details.
Prof. Humberto González-Díaz
Ikerbasque Senior Professor, firstname.lastname@example.org
(1) Department of Organic Chemistry II, University of Basque Country / Euskal Herriko Unibertsitatea (UPV/EHU), 48940, Leioa, Sarriena w/n, Bizkaia.
(2) Ikerbasque - Basque Foundation for Science, 48011, Bilbao, Bizkaia, web: http://www.ikerbasque.net/humberto.gonzalez
Prof. González-Díaz H. holds a position as Senior Ikerbasque Research Professor at the Department of Organic Chemistry II, University of the Basque Country UPV/EHU, Bizkaia Campus. This position is a research chair endowed by Ikerbasque, Basque Foundation for Science of the Basque Government / Eusko Jaurlaritza. Prof. González-Díaz H. obtained a PhD in Organic Chemistry in 2005 from the University of Santiago de Compostela (USC), and was supervised by Profs. E. Uriarte and L. Santana. He also received a Lic. degree in Pharmaceutical Sciences from the Central University of Las Villas (UCLV), where he was supervised by Prof. E. Estrada. Prof. González-Díaz H. is a Senior Research Professor with a Hirsch Index H > 50 (Google Scholar), >150 publications, >10 PhD theses supervised, >10 software developed, and 2 patents in nanoscience and neuroscience. He is also the Europe Editor of the journal Curr Top Med Chem and guest editor of several special issues. He has served as a pro bono consulting reviewer of research project proposals for various public agencies, including the US National Foundation for Science (FSA), the UK Biotechnology and Biological Sciences Research Council (BBSRC), and the German Federal Ministry of Education & Research (BMBF), etc.
Prof. González-Díaz H.'s research interests encompass multidisciplinary studies in chemoinformatics, networks, and data science. Specific interests include, but are not limited to, the application of network sciences and data analysis tools to the study of structure-property relationships in molecular structures, biological networks and complex systems in cheminformatics, bioinformatics, systems biology, neurosciences, nanosciences, omics, ecology, and epidemiology.