Chemical modifications to mRNA nucleobases impact translation elongation and termination.

Messenger RNAs (mRNAs) serve as blueprints for protein synthesis by the molecular machine the ribosome. The ribosome relies on hydrogen bonding interactions between adaptor aminoacyl-transfer RNA molecules and mRNAs to ensure the rapid and faithful translation of the genetic code into protein. There is a growing body of evidence suggesting that chemical modifications to mRNA nucleosides impact the speed and accuracy of protein synthesis by the ribosome. Modulations in translation rates have downstream effects beyond protein production, influencing protein folding and mRNA stability. Given the prevalence of such modifications in mRNA coding regions, it is imperative to understand the consequences of individual modifications on translation. In this review we present the current state of our knowledge regarding how individual mRNA modifications influence ribosome function. Our comprehensive comparison of the impacts of 16 different mRNA modifications on translation reveals that most modifications can alter the elongation step in the protein synthesis pathway. Additionally, we discuss the context dependence of these effects, highlighting the necessity of further study to uncover the rules that govern how any given chemical modification in an mRNA codon is read by the ribosome.

SMOG 2 and OpenSMOG: Extending the limits of structure-based models.

Applying simulations with structure-based Go¯-like models has proven to be an effective strategy for investigating the factors that control biomolecular dynamics. The common element of these models is that some (or all) of the intra/inter-molecular interactions are explicitly defined to stabilize an experimentally determined structure. To facilitate the development and application of this broad class of models, we previously released the SMOG 2 software package. This suite allows one to easily customize and distribute structure-based (i.e., SMOG) models for any type of polymer-ligand system. The force fields generated by SMOG 2 may then be used to perform simulations in highly optimized MD packages, such as Gromacs, NAMD, LAMMPS, and OpenMM. Here, we describe extensions to the software and demonstrate the capabilities of the most recent version (SMOG v2.4.2). Changes include new tools that aid user-defined customization of force fields, as well as an interface with the OpenMM simulation libraries (OpenSMOG v1.1.0). The OpenSMOG module allows for arbitrary user-defined contact potentials and non-bonded potentials to be employed in SMOG models, without source-code modifications. To illustrate the utility of these advances, we present applications to systems with millions of atoms, long polymers and explicit ions, as well as models that include non-structure-based (e.g., AMBER-based) energetic terms. Examples include large-scale rearrangements of the SARS-CoV-2 Spike protein, the HIV-1 capsid with explicit ions, and crystallographic lattices of ribosomes and proteins. In summary, SMOG 2 and OpenSMOG provide robust support for researchers who seek to develop and apply structure-based models to large and/or intricate biomolecular systems.

In vitro display evolution of IL-6R-binding unnatural peptides ribosomally initiated and cyclized with m-(chloromethyl)benzoic acid.

The interaction of the multifunctional cytokine interleukin (IL)-6 and its receptor (IL-6R) is involved in various diseases, including not only autoimmune diseases such as rheumatoid arthritis but also cancer and cytokine storms in coronavirus disease 2019 (COVID-19). In this study, systematic evolution of ligands by exponential enrichment (SELEX) against human IL-6R from mRNA-displayed unnatural peptide library ribosomally initiated and cyclized with m-(chloromethyl)benzoic acid (mClPh) incorporated by genetic code expansion (sense suppression) was performed using the PURE (Protein synthesis Using Recombinant Elements) system. A novel 13-mer unnatural mClPh-cyclized peptide that binds to the extracellular domain of IL-6R was discovered from an extremely diverse random peptide library. In vitro affinity maturation of IL-6R-binding unnatural mClPh-cyclized peptide from focused libraries was performed, identifying two IL-6R-binding unnatural mClPh-cyclized peptides by next-generation sequencing. Because cyclization can increase the protease resistance of peptides, novel IL-6R-binding mClPh-cyclized peptides discovered in this study have the potential to be used for a variety of research, therapeutic, and diagnostic applications involving IL-6/IL-6R signaling.