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Rubi, J. M.

Publications and source records attributed to Rubi, J. M..

2 recordsLinked to original sources

Chaperone-driven entropic separation of amyloid nanofilament bundles

The disassembly of misfolded protein aggregates is a requirement for the proper functioning of cells. It has implications in multiple neuropathologies, such as Alzheimers and Parkinsons diseases. The active unbundling of fibrillar aggregates has recently been identified as a key, rate-limiting step in the disassembly process. Yet, the nature of the underlying molecular mechanism remains an outstanding question. Here, we develop a coarse-grained computational approach from the atomistic structural information and show that the interactions of molecules tethered to fibrils lead to entropic forces consistent with the unbundling process observed in amyloid -synuclein disaggregation by Hsp70. We uncover two main types of entropic effects, categorized as intra- and inter-protofilament, which are differentially affected by the system parameters and conditions. Our results show that only highly efficient chaperone systems can overcome the free energy cost of the lateral association between two protofilaments. Through the analysis of cryo-electron tomography and high-speed atomic force microscopy data, we find that co-chaperone networks and ATP hydrolysis are needed to achieve the conditions for highly efficient entropic force generation. We highlight the implications of these results for the design of targeted therapies for the underlying neuropathologies.

biophysics↗

Enzymatic evolution driven by entropy production

We show that the structural evolution of enzymes is largely influenced by the entropy produced in the enzymatic process. We have computed this quantity for the case in which the process has unstable and metastable intermediate states. By assuming that the kinetics takes place along a potential barrier, we have found that the behavior of the total entropy produced is a non-monotonic function of the intermediate state energy. By diminishing the number of metastable intermediate states, the total entropy produced decreases and consequently the enzyme kinetics and the thermodynamic efficiency are enhanced. Minimizing locally the total entropy produced for an enzymatic process with metastable intermediate states, the kinetics and the thermodynamic efficiency are raised. In contrast, in the absence of metastable intermediate states, a maximum of the entropy produced results in an improvement of the kinetic performance although the thermodynamic efficiency diminishes. Our results show that the enzymatic evolution proceeds not only to enhance the kinetics but also to optimize the total entropy produced.

biophysics↗