Computational Life Sciences
The Computational Life Sciences, Bioinformatics and System Biology Section of All Life seeks submissions on the application of computational methods to biological systems.
This section of All Life includes:
Software and Modelling
Computational Science and Engineering
Statistics for Life Science
2020 Impact Factor: 2.000
Five-Year Impact Factor: 4.888
WEB OF SCIENCE® Indexed
235k Annual Article Downloads
All Life is linked with the UN’s Sustainable Development Goals. We invite researchers to share research and data towards Goal 3: Good Health and Well-being.
Meet the Section Editor
Serdar Durdagi, Bahcesehir University, Turkey
Dr. Durdagi applies computational chemistry methods to biological systems. His research interest mainly focuses on protein engineering and analyses of their structural/functional dynamics, ligand- and structure-based drug design, high throughput virtual screening, machine learning, text mining, investigation of molecular mechanisms of protein/drug, protein/protein and protein/DNA interactions and optimizations protocols for rational drug design. Dr. Durdagi published one book on computer-aided drug design in 2010. Dr. Durdagi is the author/co-author of seven book chapters and around 150 research articles with h-index of 29. The total citations of Dr. Durdagi's research articles are around 2700. Dr. Durdagi has also international patents.
Why Submit to All Life?
Increase the visibility and readership of your research by publishing in a fully open access journal with a wide international readership.
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Find a home for your research with our broad aims and scope welcoming truly multidisciplinary research, publishing all scientifically valid research including reporting of negative and null data, replication and reproduction studies.
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Indexed in the Multidisciplinary Sciences JCR category and by EBSCOhost, Academic Search Complete, TOC Premier (Table of Contents), OCLC, Arts and Humanities Search, Ovid, Inspec, and Science Citation Index Expanded (Web of Science).
*The State of Open Data Report 2019