Current Computer-Aided Drug Design
Peer-review medical journal.
Publisher
Bentham Science (https://www.benthamscience.com/)
Editor-in-Chief
Dong-Qing Wei, State Key Laboratory of Microbial Metabolism and College of Life Sciences and Biotechnology, Shanghai Jiaotong University, Shanghai (China)
ORCID: https://orcid.org/0000-0003-4200-7502
About
Current Computer-Aided Drug Design (CCADD) is an interdisciplinary journal (or theme/initiative) dedicated to publishing high-quality research at the intersection of computational chemistry, artificial intelligence, and pharmaceutical sciences. The journal aims to accelerate drug discovery by integrating traditional computer-aided drug design (CADD) techniques with cutting-edge artificial intelligence-driven drug design (AIDD) methodologies.
Topics of interest include, but are not limited to:
- AI/ML algorithms for hit identification, optimization, and target prediction
- Deep learning, generative models for de novo drug design
- Multi-omics integration, pharmacogenomics and AI for target identification
- AI-enhanced molecular dynamics and binding free energy calculations
- Structure- and ligand-based drug design
- AI-assisted repurposing of existing drugs and natural products
Indexing
Abstracted & Indexed in: British Library, Cabell's Directory/Journalytics, Cambridge Scientific Abstracts (CSA)/ProQuest, Chemical Abstracts Service/SciFinder, CNKI Scholar, EBSCO, EI Compendex, EMBASE, Essential Science Indicators, Genamics Journal Seek, Google Scholar, Index Copernicus, Index Medicus, J-Gate, Journal Citation Reports/Science Edition, JournalTOCs, MediaFinder®-Standard Periodical Directory, MEDLINE/PubMed, OpenAire, PubsHub, QOAM, Science Citation Index Expanded™ (SciSearch®), Scilit, Scopus, Suweco CZ, Ulrich's Periodicals Directory
Archiving and Copyright: Portico, Sherpa Romeo
Journal Database: Dimensions
Subscritpion
Subscritpion (to get access, please, follow the link: https://journals.eco-vector.com/1573-4099/about/subscriptions)