Bioinformatics in Drug Design and Discovery—2nd Edition
Topic Information
Dear Colleagues,
With the development of modern sequencing technology, this decade has witnessed the expansion of huge biomedical data advances which has opened a new window for the clinical diagnoses and therapeutics of complex disease. Bioinformatics can extract, analyze, and communicate hidden information from sequences and structures as well as functional knowledge of nucleic acids and proteins in order to discover and identify new drug targets. This can potentially guide the design of therapeutic drugs that can activate or block the biological functions of biomolecules and help to construct various prediction models to aid virtual bioactive screening. This will, in turn, help to design and discover safer and more efficient therapeutic drugs that can either activate or block the biological functions of biomolecules.
Thus, there is a need to fundamentally address all of the above-mentioned issues in the application of bioinformatics techniques and the development of novel drugs. Here, we seek original research papers and reviews for a Topic on the theme of bioinformatics in drug design and discovery. Dr. Bing Niu Dr. Suren Rao Sooranna Dr. Pufeng Du Topic Editors
Dr. Bing Niu
Dr. Suren Rao Sooranna
Dr. Pufeng Du
Topic Editors
Keywords
- machine learning
- molecule simulation
- deep learning
- sequencing analysis
- drug–target interaction
- virtual screening
- de novo drug design
- benchmark databases
- big data
- artificial intelligent techniques
- pharmacophore technology
- quantitative structure-activity relationships