Clyto Access


Acquisition of complete information in the analysis of protein-protein interactions

Editorial Article

Dr. Tim Xing

Proteins and their intricate network of interactions are the mainstay of any cellular process. Historically, yeast two-hybrid, bimolecular fluorescence complementation assays and bioluminescence resonance energy transfer greatly contributed to our understanding of biomolecule interactions in early days.

Published: 10 Jul 2017


Scope of the Journal

Journal of Big Data and Computational Science

Journal of Big Data and Computational Science (JBDCS) is an open access peer reviewed international journal, which focuses on articles portraying unique and applied work including computational accounts of all aspects of big data and science analytics in the sciences and social sciences by spreading the knowledge globally.

The first issue of the journal, which is intended to be quarterly, will be released in 2018. Advancement in the fields of informatics across a wide range of cognate disciplines is driving a major expansion in big data analytics. Much of the innovative and advanced research on big data has focused on the application of computational scientific methods for the better understanding of models and their underlying stochastic processes.

These developments benefit the scientific community by encouraging a greater understanding of new trends in many cognate disciplines in the sciences and social sciences through the use of computer technology.

JBDCS provides knowledge as to how disciplines in the sciences and social sciences, with the aid of computer technology, will help in the improvement of future technology.

Big Data and Computational Science will coalesce researchers, academics, scientists, professors, advanced students, practitioners and other interested individuals worldwide opportunity to be well informed of the latest innovations in the analysis of big data through developments in computational science. We enliven submissions decidedly on research work that may be conducted in the following cognate disciplines:

Big data analytics, Mathematical modelling, Informatics, Bioengineering, Molecular Engineering, Bioimaging Modulations, Proteomics, Computational Science, Computer Simulations, Genomics, Machine Learning, Algorithms, Molecular Medicine, Imaging Informatics, Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research, and Engineering.

Editorial Board


Dr. Michael McAleer

National Tsing Hua University, Taiwan


Dr. Chia-Lin Chang

National Chung Hsing University, Taiwan


Dr. Wing-Keung WONG

Asia University, Taiwan

Editorial Board

Dr. Seth H. Weinberg

Old Dominion University, USA

Dr. Marco Fronzi

Associate Professor, Xi’an Jiao Tong University, China

View All

Review Board

International Advisory Board

Research Topics

• Big data analytics
• Data mining
• Mathematical modelling
• Computational science
• Computer simulations
• Theoretical and applied statistics
• Theoretical and applied econometrics
• Financial econometrics
• Imaging informatics
• Forecasting
• Molecular engineering and docking simulations
• Bioimaging and modulations
• Bioengineering
• Proteomics
• Genomics
• Economics
• Finance
• Management
• Management Science
• Marketing
• Operations Research
• Financial engineering

Editorial office

Journal of Big Data and Computational Science

Clyto Online Publishing Inc.
600 West Broadway Suite 700
San Diego CA 92101 | USA
Phone: 1-619-471-1648
Submit Manuscript:Click Here

At Clyto Access - We believe in growing together

We invite Scholars, Scientists, Scientific Societies, Conference Organizers and Institutions to launch new scientific Journals with us.

We are open for collaborations.

Sure to catch your Interest !

Do contact us for More details: