Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
Input this Professional Credit at checkout for a max $30.00 offset.
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
This track focuses on the latest methodologies and technologies in yeast metabolic engineering. Participants will explore innovative approaches to optimize metabolic pathways for enhanced production of bioactive compounds.
This session will delve into the integration of synthetic biology tools in yeast research. Discussions will center around the design and construction of new biological parts and systems for improved metabolic performance.
This track emphasizes systems biology frameworks for understanding yeast metabolic networks. Attendees will examine how systems-level analyses can inform strain optimization and bioprocess design.
This session will highlight techniques for metabolic flux analysis in yeast systems. Researchers will present case studies demonstrating how flux analysis can guide metabolic engineering efforts.
This track will explore the latest advancements in enzyme engineering specific to yeast applications. Participants will discuss strategies for improving enzyme efficiency and specificity in metabolic pathways.
This session will cover cutting-edge genome editing technologies applied to yeast. Discussions will focus on CRISPR/Cas9 and other methods for precise genetic modifications to enhance metabolic traits.
This track will address the engineering of bioprocesses for yeast fermentation. Participants will explore optimization strategies for scaling up production and improving yield in industrial applications.
This session will focus on computational modeling techniques for metabolic pathways in yeast. Researchers will share insights on pathway reconstruction and simulation to predict metabolic behavior.
This track will investigate the regulatory mechanisms governing yeast metabolism. Participants will discuss the interplay between metabolic control and gene regulation in various environmental contexts.
This session will highlight the application of omics technologies in yeast strain development. Attendees will explore how genomics, transcriptomics, and proteomics can inform metabolic engineering strategies.
This track will showcase the diverse applications of engineered yeast in biotechnology. Participants will discuss case studies highlighting the commercial potential of yeast-derived products in various industries.
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.