About this Research Topic
The iGEM 2023 Collection aims to showcase cutting-edge research and innovative projects at the intersection of systems and synthetic biology approaches. Our goal is to highlight work that demonstrates the power of integrating experimental and computational methodologies to address complex biological challenges. We seek to inspire the next generation of scientists and engineers to push the boundaries of what's possible in biological engineering, while also promoting responsible innovation and ethical considerations in this rapidly advancing field.
Sub-themes include but are not limited to:
1. Computational Tools for Complex Biology: This theme focuses on novel algorithms, software, and computational frameworks designed to aid in the design, modeling, and analysis of complex biological systems. Projects may include tools for genetic circuit design, metabolic engineering optimization, or protein engineering.
2. Machine Learning and AI in Systems Biology: This theme explores the application of advanced machine learning techniques and artificial intelligence to unravel complex biological networks, predict system behavior, and guide experimental design.
3. Whole-Cell and Organ Modeling: This theme encompasses projects aimed at developing comprehensive computational models of cells or organs, with potential applications in drug discovery, disease modeling, and personalized medicine.
4. Synthetic Biology for Sustainability at a Systems Level: This theme highlights projects that leverage synthetic biology approaches to address environmental challenges, such as bioremediation, sustainable materials production, or climate change mitigation
Keywords: iGEM, Systems Biology, Synthetic Biology, Machine Learning, AI, Modeling, Sustainability
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.