bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.08.15.607948

Molecular simulations of enzymatic phosphorylation of disordered proteins and their condensates

Abstract

Understanding the condensation and aggregation of intrinsically disordered proteins in a non-equilibrium environment is crucial for unraveling many biological processes. Active enzymes catalyse many processes by consuming chemical fuels such as ATP. Enzymes called kinases phosphorylate disordered regions of proteins and thus profoundly affect their properties and interactions. Protein phosphorylation is implicated in neurodegenerative diseases and may modulate pathogenesis. However, how protein sequence and molecular recognition of a disordered protein by kinases determine phosphorylation patterns is not understood. In principle, molecular dynamics simulations hold the promise to resolve how phosphorylation affects disordered proteins and their assemblies. In practice, chemically-detailed simulations of enzymatic reactions and the dynamics of enzymes are highly challenging, in particular it is difficult to verify whether implementations of driven simulations are thermodynamically consistent. We can now address this problem with residue-level coarse-grained molecular dynamics simulations, integrating Metropolis Monte Carlo steps to model chemical reactions. Importantly, we show how to verify by Markov-state modeling that the realisation of a non-equilibrium steady state satisfies local-detailed balance. We investigate TDP-43 phosphorylation by the kinase CK1{delta} in simulations, examining patterns of phosphorylation and assessing its preventive role in chain aggregation, which may be a cytoprotective mechanism in neurodegenerative diseases. We find that the degree of residue phosphorylation is determined by sequence preference and charges, rather than by the position in the chain. The phosphorylation frequency is also affected by the phosphorylation patterns, since the interactions between CK1{delta} and TDP-43 actively change after each reaction. For TDP-43, our simulations show condensates dissolution through phosphorylation with kinases binding to the condensates and phosphorylating TDP-43 in the condensates.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Zippo, E., Dormann, D., Speck, T., Stelzl, L.. 2024-08-17. Molecular simulations of enzymatic phosphorylation of disordered proteins and their condensates. https://doi.org/10.1101/2024.08.15.607948

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Design of colipids with controlled lateral distance of head group moieties for targeting strategies in the field of lipid-based nanoparticles

Lipid nanoparticles and liposomes are nanoparticle drug formulations which are firmly established in clinics. In order to expand their application and improve efficacy, surface modifications can be a key strategy, especially for cell specific targeting. Targeting can be achieved by integrating ligand functionalized lipids or lipidoids on the nanoparticle surface. In this case, not solely the targeting ligand itself, but also the structure of the whole targeting lipid/lipidoid can affect the interaction of the targeting ligand with the binding motive on cells. Especially, distal spacer structures between lipid anchor and ligand unit, often composed of polyethylene glycol chains, provide a certain distance of the ligand from the nanoparticle surface. A concept which is currently neglected is the control of the lateral distance between ligand structures on the nanoparticle. Herein we investigated the possibility to design lipidoids with a lateral spacer composed of polyethylene glycol units. We synthesized and characterized different lipidoids which provide a primary amine in the head group for possible ligand coupling. In our model lipidoids the head groups were functionalized with a paramagnetic probe to apply electron paramagnetic resonance (EPR) methods for the characterization of the lipidoid interaction with model nanoparticles, in our case liposomes. Continuous wave EPR was used to study the efficiency of the novel lipidoids to integrate into lipid bilayers of model liposomes, which was shown to depend on lipidoid structure and liposome composition. Furthermore, using double electron-electron resonance (DEER), we observed lipidoid conformational changes occurring upon integration into liposomes.

biophysics↗

Binding mechanisms of therapeutic antibodies to human claudin-18.2

Claudin-18.2 (CLDN18.2) is a tight junction component with highly restricted expression in the paracellular space of nonmalignant gastric epithelial cells. It becomes accessible on tumor cell surface during malignant transformation, making CLDN18.2 an attractive target for targeted therapies against gastric cancer. Recently, zolbetuximab has become the first FDA-approved monoclonal antibody that targets CLDN18.2 in advanced gastric cancer, and others like osemitamab have entered phase 3 clinical trials. However, the high-resolution structure of CLDN18.2 is lacking, and how CLDN18.2 is recognized by therapeutic antibodies remains undefined. Here, we report cryo-EM structures of human claudin-18.2 (hCLDN18.2) in complex with the Fab fragments of zolbetuximab and osemitamab, revealing the structure of hCLDN18.2 and its binding mechanism to the therapeutic antibodies. Further analyses reveal that three residues in the first extracellular loop of hCLDN18.2 that are different from human claudin-18.1 (hCLDN18.1) play a critical role in antibody binding. Our data elucidate the structural basis for selective binding of therapeutic antibodies to hCLDN18.2, which should aid rational design of next-generation immunotherapies targeting hCLDN18.2.

biophysics↗

Structural relationships between the SLC12 cotransporter C-terminal domain, universal stress proteins and adenylating enzymes

Several SLC12 cotransporters bind ATP in a cytoplasmic C-terminal domain (CTD). We analysed 16,192 CTD-containing SLC12 sequences and compared 42,845 representative structures to examine the relationship between this nucleotide site, universal stress proteins (USPs) and adenylating enzymes. In phosphorylated NKCC1, D891 and D927 lie near the ATP phosphate chain, while R801 and K889 form a basic phosphate-binding clamp. NKCC1 retains this arrangement, whereas KCC paralogs replace or lose several corresponding groups. In structural comparisons with USP and adenylating-enzyme references, both CTD lobes score between universal stress proteins and EC-annotated domains, and the two lobes form separate lineages that include bacterial transporters. Lobe-specific and nucleotide-frame comparisons place ATP in the corresponding structural region used for -phosphate chemistry by catalytic members of this fold. Published work on UspG provides a precedent for protein-bound AMP in a natural USP. In the examined SLC12 structures and USP models, candidate protein hydroxyls lack an in-line geometry for attack at ATP P. Protein adenylation would require a change in protein or nucleotide geometry, or a different acceptor. These results define a structural basis for testing conditional protein adenylation at SLC12 nucleotide sites. The required evidence is a covalent protein-AMP adduct, identification of its acceptor and measurement of the expected pyrophosphate coproduct, with soluble nucleotide analysis to distinguish accompanying ATP reactions.

biophysics↗