Binding sites for protein-making machinery
D-BSSE researchers can predict how tightly a cell’s protein synthesis machinery will bind to RNA sequences - even when dealing with many billions of different RNA sequences. This binding plays a key role in determining how much of a specific protein is produced. The scientists are developing their prediction model using a combination of synthetic biology experiments and machine learning algorithms. The interdisciplinary study is first-authored by Simon Höllerer and Laetitia Papaxanthos.
Find the full article on the ETH news channel; find the external page original article published by Nature Communications (open access link).
Find information on the Bioprocess Lab and Markus Jeschek; Machine Learning and Computational Biology Lab led by Karsten Borgwardt; external page Synthetic Biology Group led by Yaakov Benenson; Genomics Facility Basel.