Allosteric Regulation of Human Plastins

Plastins/fimbrins are conserved actin-bundling proteins contributing to motility, cytokinesis, and other cellular processes by organizing actin assemblies of strikingly different geometries as in aligned bundles and branched networks. We propose that this unique ability stems from an allosteric communication between the two actin-binding domains (ABD1/2) engaged in a tight spatial association. We found that although ABD1 binds actin first, ABD2 can bind to actin three orders of magnitude stronger if not inhibited by an equally strong allosteric engagement with ABD1. Binding of ABD1 to actin lessened the inhibition, enabling weak bundling within aligned bundles. A mutation mimicking physiologically relevant phosphorylation at the ABD1-ABD2 interface strongly reduced their association, dramatically potentiating actin cross-linking. Cryo-EM reconstruction revealed the ABD1-actin interface and enabled modeling of the plastin bridge to confirm domain separation in parallel bundles. The characteristic domain organization with a strong allosteric inhibition imposed by ABD1 on ABD2 allows plastins to tune cross-linking, contributing to the assembly and remodeling of actin assemblies with different morphological and functional properties defining the unique place of plastins in actin organization.

A Favorable Path to Domain Separation in the Orange Carotenoid Protein

The Orange Carotenoid Protein (OCP) is responsible for nonphotochemical quenching (NPQ) in cyanobacteria, a defense mechanism against potentially damaging effects of excess light conditions. This soluble two-domain protein undergoes profound conformational changes upon photoactivation, involving translocation of the ketocarotenoid inside the cavity followed by domain separation. Domain separation is a critical step in the photocycle of OCP because it exposes the N-terminal domain (NTD) to perform quenching of the phycobilisomes. Many details regarding the mechanism and energetics of OCP domain separation remain unknown. In this work, we apply metadynamics to elucidate the protein rearrangements that lead to the active, domain-separated, form of OCP. We find that translocation of the ketocarotenoid canthaxanthin has a profound effect on the energetic landscape and that domain separation only becomes favorable following translocation. We further explore, characterize, and validate the free energy surface (FES) using equilibrium simulations initiated from different states on the FES. Through pathway optimization methods, we characterize the most probable path to domain separation and reveal the barriers along that pathway. We find that the free energy barriers are relatively small (<5 kcal/mol), but the overall estimated kinetic rate is consistent with experimental measurements (>1 ms). Overall, our results provide detailed information on the requirement for canthaxanthin translocation to precede domain separation and an energetically feasible pathway to dissociation.

A Deep Transfer Learning Method for Bearing Fault Diagnosis Based on Domain Separation and Adversarial Learning

Current studies on intelligent bearing fault diagnosis based on transfer learning have been fruitful. However, these methods mainly focus on transfer fault diagnosis of bearings under different working conditions. In engineering practice, it is often difficult or even impossible to obtain a large amount of labeled data from some machines, and an intelligent diagnostic method trained by labeled data from one machine may not be able to classify unlabeled data from other machines, strongly hindering the application of these intelligent diagnostic methods in certain industries. In this study, a deep transfer learning method for bearing fault diagnosis, domain separation reconstruction adversarial networks (DSRAN), was proposed for the transfer fault diagnosis between machines. In DSRAN, domain-difference and domain-invariant feature extractors are used to extract and separate domain-difference and domain-invariant features, respectively Moreover, the idea of generative adversarial networks (GAN) was used to improve the network in learning domain-invariant features. By using domain-invariant features, DSRAN can adopt the distribution of the data in the source and target domains. Six transfer fault diagnosis experiments were performed to verify the effectiveness of the proposed method, and the average accuracy reached 89.68%. The results showed that the DSRAN method trained by labeled data obtained from one machine can be used to identify the health state of the unlabeled data obtained from other machines.

A Favorable Path to Domain Separation in the Orange Carotenoid Protein

In this work, we have modeled a fundamental part of the defense mechanism of Cyanobacteria against damaging effects of excess light conditions. This mechanism is part of the photoactivation cycle in the Orange Carotenoid Protein (OCP), which involves the separation of protein domains triggered by chromophore translocation. Using carefully designed metadynamics simulations, we have discovered the structural rearrangements along an energetically favorable pathway to the activated state. The structural rearrangement of OCP along its activation path has been a long-standing question, only answered now by our work.<br>

A Favorable Path to Domain Separation in the Orange Carotenoid Protein

In this work, we have modeled a fundamental part of the defense mechanism of Cyanobacteria against damaging effects of excess light conditions. This mechanism is part of the photoactivation cycle in the Orange Carotenoid Protein (OCP), which involves the separation of protein domains triggered by chromophore translocation. Using carefully designed metadynamics simulations, we have discovered the structural rearrangements along an energetically favorable pathway to the activated state. The structural rearrangement of OCP along its activation path has been a long-standing question, only answered now by our work.<br>

Optimal Evolution of the Standard Genetic Code

The Standard Genetic Code (SGC) exists in every known organism on Earth. SGC evolution via early unique codon assignment, then later wobble, yields coding resembling the near-universal code. Below, later wobble is shown to also create an optimal route to accurate codon assignment. Time of optimal codon assignment matches the previously defined mean time for ordered coding, exhibiting ≥ 90% of SGC order. Accurate evolution is also accessible, sufficiently frequent to appear in populations of 103 to 104 codes. SGC-like coding capacity, code order, and accurate assignments therefore arise together, in one attainable evolutionary intermediate. Examples, which plausibly resemble coding at evolutionary domain separation, are characterized.