Biology subjects

Mohanty, U.

Publications and source records attributed to Mohanty, U..

5 recordsLinked to original sources

bioRxiv2025

Transient ion-mediated interactions regulate subunit rotation in a eukaryotic ribosome

While it is known that ions are required for folding of RNA, little is known about how transient/probabilistic ionic interactions facilitate biologically-relevant conformational rearrangements. To address this, we developed a theoretical model that employs all-atom resolution, with a simplified representation of biomolecular energetics, explicit electrostatics and ions (K+, Cl-, Mg2+). For well-studied RNA systems (58-mer and Ade riboswitch), the model accurately describes the concentration-dependent ionic environment, including (bidentate) chelated and hydrated (diffuse/outer-shell) ions. With this foundation, we applied the model to simulate the yeast ribosome and quantified the ion-dependent energy landscape of intersubunit rotation. These calculations show how the energetics of rotation responds to millimolar changes in [MgCl2], which shift the distribution between rotation states and alter the kinetics by more than an order of magnitude. We find that this response to the ionic concentration correlates with formation and breakage of ion-mediated interactions (inner-shell and outer-shell) between the ribosomal subunits. This analysis provides a physical basis for understanding how transient ion-mediated interactions can regulate a large-scale biological process.

biophysics↗

bioRxiv2025

Characterization of a potential antibiotic target site on the ribosome

The ribosome is a known antibiotic target, where various classes of small molecules impact different stages of translation. There are multiple modes of function, such as interfering with the decoding process, impeding movement of the nascent protein chain and occluding the catalytic center. In the present study, we used a range of computational methods to demonstrate a new mechanism by which small molecules may impede translation in the bacterial ribosome. Specifically, we use a computational screen to identify small molecules that can bind the ribosomal protein L33 in a region that is generally conserved in bacterial species. In addition, the binding position allows it to introduce a steric obstacle that impedes the P/E hybrid-state formation steps. Using molecular dynamics simulations, we show how binding to L33 can slow down the kinetics of tRNA molecules on the ribosome. Since L33 is not present in the cytosolic human ribosome and has a distinct sequence in the human mitochondrial ribosome, this binding site may serve as a novel target for future antibiotic and antimicrobial design efforts. This analysis provides insights into how to optimize the inhibitory effects of L33-targeting molecules, in order to develop a new class of broad-spectrum antibiotics/antimicrobials.

biophysics↗

bioRxiv2021

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

Applying simulations with structure-based (G[o]-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 inter-actions 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. Since its original release, user feedback has driven the implementation of numerous enhancements. Here, we describe recent extensions to the software and demonstrate the capabilities of the most recent version, SMOG v2.4. Changes include new tools that aid user-defined customization of force fields, as well as an interface with the OpenMM simulation libraries (OpenSMOG v1.0). To illustrate the utility of these advances, we present several applications of SMOG2 and OpenSMOG, which include systems with millions of atoms, long polymers and explicit ions. We also highlight how one can incorporate non-structure-based (e.g. AMBER-based) energetics to define a hybrid class of models. The representative applications include large-scale rearrangements of the SARS-CoV-2 Spike protein, the HIV-1 capsid in the presence of explicit ions, and crystallographic lattices of ribosomes and proteins. In summary, SMOG 2 and OpenSMOG provide robust support for researchers who seek to apply structure-based models to large and/or intricate biomolecular systems.

biophysics↗

bioRxiv2021

Diffuse ions coordinate dynamics in a ribonucleoprotein assembly

Proper ionic concentrations are required for the functional dynamics of RNA and ribonucleoprotein (RNP) assemblies. While experimental and computational techniques have provided many insights into the properties of chelated ions, less is known about the energetic contributions of diffuse ions to large-scale conformational rearrangements. To address this, we present a model that is designed to quantify the influence of diffuse monovalent and divalent ions on the dynamics of biomolecular assemblies. This model employs all-atom (non-H) resolution and explicit ions, where effective potentials account for hydration effects. We first show that the model accurately predicts the number of excess Mg2+ ions for prototypical RNA systems, at a level comparable to modern coarse-grained models. We then apply the model to a complete ribosome and show how the balance between diffuse Mg2+ and K+ ions can control the dynamics of tRNA molecules during translation. The model predicts differential effects of diffuse ions on the free-energy barrier associated with tRNA entry and the energy of tRNA binding to the ribosome. Together, this analysis reveals the direct impact of diffuse ions on the dynamics of an RNP assembly. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/448160v2_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@14f36caorg.highwire.dtl.DTLVardef@1963073org.highwire.dtl.DTLVardef@146fbf8org.highwire.dtl.DTLVardef@14860ab_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2018

Using SMOG 2 to simulate complex biomolecular assemblies

Over the last 20 years, the application of structure-based (G[o]-like) models has ranged from protein folding with coarse-grained models to all-atom representations of large-scale molecular assemblies. While there are many variants that may be employed, the common feature of these models is that some (or all) of the stabilizing energetic interactions are defined based on knowledge of a particular experimentally-obtained conformation. With the generality of this approach, there was a need for a versatile computational platform for designing and implementing this class of models. To this end, the SMOG 2 software package provides an easy-to-use interface, where the user has full control of the model parameters. This software allows the user to edit XML-formatted files in order to provide definitions of new structure-based models. SMOG 2 reads these \"template\" files and maps the interactions onto specific structures, which are provided in PDB format. The force field files produced by SMOG 2 may then be used to perform simulations with a variety of popular molecular dynamics suites. In this chapter, we describe some of the key features of the SMOG 2 package, while providing examples and strategies for applying these techniques to complex (often large-scale) molecular assemblies, such as the ribosome.

biophysics↗