Prevention of Rhodanese Aggregation by the Chaperonin GroEL
Frank Weber, Manajit Hayer‐Hartl
Abstract
Frank Weber, Manajit Hayer‐Hartl
Abstract
A common feature of molecular chaperones is their ability to recognize hydrophobic surfaces of unfolded proteins to which they can bind, and thus, stabilize unfolded polypeptides at various levels of conformational compactness ( 1 , 2 ). Depending on the substrate, different chaperone systems are required to allow folding to the native state. Some proteins fold with high yields in a chaperone-unassisted reaction ( 3 , 4 ) whereas other proteins exhibit highly aggregation-sensitive structures. These proteins generally tend to aggregate and show higher yields of refolding in the presence of chaperones. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A common feature of molecular chaperones is their ability to recognize hydrophobic surfaces of unfolded proteins to which they can bind, and thus, stabilize unfolded polypeptides at various levels of conformational compactness ( 1 , 2 ). Depending on the substrate, different chaperone systems are required to allow folding to the native state. Some proteins fold with high yields in a chaperone-unassisted reaction ( 3 , 4 ) whereas other proteins exhibit highly aggregation-sensitive structures. These proteins generally tend to aggregate and show higher yields of refolding in the presence of chaperones. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Key concepts: GroEL, Rhodanese, Chaperonin, Chaperone (clinical), Protein folding, Chemistry, Native state, Folding (DSP implementation)