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Current Pharmaceutical Biotechnology
ISSN: 1389-2010 (Print)
eISSN: 1873-4316 (Online)
Impact Factor :
2.2
CiteScore:
5.6
- DNA/protein engineering and processing
- Synthetic biotechnology
- Omics (genomics, proteomics, metabolomics and systems biology)
- Therapeutic biotechnology (gene therapy, peptide inhibitors, enzymes)
- Drug delivery and targeting
- Nanobiotechnology
- Molecular pharmaceutics and molecular pharmacology
- Analytical biotechnology (biosensing, advanced technology for detection of bioanalytes)
- Pharmacokinetics and pharmacodynamics
- Applied Microbiology
- Bioinformatics (computational biopharmaceutics and modeling)
- Environmental biotechnology
- Regenerative medicine (stem cells, tissue engineering and biomaterials)
- Translational immunology (cell therapies, antibody engineering, xenotransplantation)
- Industrial bioprocesses for drug production and development
- Biosafety
- Biotech ethics
Special Issues devoted to crucial topics, providing the latest comprehensive information on cutting-edge areas of research and technological advances, are welcome.
Current Pharmaceutical Biotechnology is an essential journal for academic, clinical, government and pharmaceutical scientists who wish to be kept informed and up-to-date with the latest and most important developments.
Editor-in-Chief:
Department of Biotechnology
Agricultural University of Athens
Athens
Greece
Special Issues With Active Call for Papers
Latest Advancements in Biotherapeutics.
The scope of this thematic issue is to comprehensively explore the rapidly evolving landscape of biotherapeutics, emphasizing breakthroughs in precision medicine. Encompassing diverse therapeutic modalities, the issue will delve into the latest developments in monoclonal antibodies, CRISPR/Cas gene editing, CAR-T cell therapies, and innovative drug delivery systems, such as nanoparticle-based approaches. We seek to unravel the complexities of personalized medicine, investigating the tailoring of treatments based on individual patient characteristics and the identification of biomarkers... see more
Machine Learning and Artificial Intelligence for Medical Data Analysis and Human Information Analysis in Healthcare
The intersection of machine learning (ML) and artificial intelligence (AI) with the pharmaceutical industry is revolutionizing traditional paradigms in drug discovery and development. These technologies have introduced innovative approaches to analyzing complex datasets and predicting chemical properties, leading to more efficient identification and optimization of drug candidates. By employing sophisticated algorithms and computational models, AI and ML are enabling the pharmaceutical industry to address critical challenges, thus accelerating the arrival of novel therapies to patients.... see more
Artificial Intelligence in Bioinformatics
Bioinformatics is an interdisciplinary field that analyzes and explores biological data. This field combines biology and information system. Artificial Intelligence (AI) has attracted great attention as it tries to replicate human intelligence. It has become common technology for analyzing and solving complex data and problems and encompasses sub-fields of machine learning and deep learning. AI and bioinformatics have a strong connection and AI gradually expanded the focus of biology in practical issues including protein folding... see more