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Biology subjects

Kim, M. K.

Publications and source records attributed to Kim, M. K..

6 recordsLinked to original sources

Thermodynamic Parameter Estimation for Modified Oligonucleotides Using Molecular Dynamics Simulations

This study investigates the thermodynamic parameters of 1,300 RNA/DNA hybrid duplexes, including both natural and chemically modified forms, using molecular dynamics (MD) simulations. Modified duplexes consist of phosphorothioate (PS) backbones and 2'-O-methoxyethyl (MOE) modifications, both commonly used in therapeutic oligonucleotides. Hybridization enthalpy and entropy were calculated from MD trajectories using molecular mechanics Poisson-Boltzmann surface area (MMPBSA) and molecular mechanics generalized Born surface area (MMGBSA) approaches. To address discrepancies with experimental data, we established empirical relationships by comparing calculated values with known experimental results of natural hybrid duplexes, then extended these relationships to the entire dataset. The corrected parameters were subsequently used to generate nearest-neighbor (NN) models, allowing for experimentally reliable melting temperature predictions. In this process, MMGBSA demonstrated superior predictive performance with high convergence and consistency for both natural and modified duplexes. Specifically, MMGBSA captured the stabilizing effects of the MOE modification with minimal bias, while MMPBSA exhibited greater variability and limited reliability. These findings highlight the potential of MMGBSA for accurate thermodynamic modeling of both natural and modified nucleic acids, providing a robust framework and experimentally meaningful insights for applications in nucleic acid-based therapeutic design and biotechnology.

biochemistry↗

An accelerated molecular dynamics study for investigating protein pathways using the bond-boost hyperdynamics method

Molecular dynamics (MD) simulation is an important tool for understanding protein dynamics and the thermodynamic properties of proteins. However, due to the high computational cost of MD simulations, it is still challenging to explore a wide conformational space. To solve this problem, a variety of accelerated MD schemes have been proposed over the past few decades. The bond-boost method (BBM) is one of such accelerated MD schemes, which expedites escape events from energy basins by adding a bias potential based on changes in bond length. In this paper, we present a new methodology based on the BBM for accelerating the conformational transition of proteins. In our modified BBM, the bias potential is constructed using the dihedral angle and hydrogen bond, which are more suitable variables to monitor the conformational change in proteins. Additionally, we have developed an efficient algorithm compatible with the LAMMPS package. The method is validated with the conformational change of Adenylate kinase (AdK) by comparing the conventional and accelerated MD simulation results. Based on the accelerated MD results, the characteristics of AdK are investigated by monitoring the conformational transition pathways and the behavior of interdomain salt bridges. Moreover, the free energy landscape calculated using umbrella sampling confirms all the states identified by the accelerated MD simulation are the free energy minima and the system makes transitions following the path indicated by the free energy landscape. Our efficient approach is expected to play a key role in investigating transition pathways in a wide range of protein simulations.

biophysics↗

Septin-Mediated RhoA Activation Engages the Exocyst Complex to Recruit the Cilium Transition Zone

Septins are filamentous GTPases that play important, but poorly characterized roles in ciliogenesis. Here, we show that SEPTIN9 regulates RhoA signaling at the base of cilia by binding and activating the RhoA guanine nucleotide exchange factor, ARHGEF18. GTP-RhoA is known to activate the membrane targeting exocyst complex, and suppression of SEPTIN9 causes disruption of ciliogenesis and mislocalization of an exocyst subunit, SEC8. Using basal body-targeted proteins we show that upregulating RhoA signaling at the cilium can rescue ciliary defects and mislocalization of SEC8 caused by global SEPTIN9 depletion. Moreover, we demonstrate that transition zone components, RPGRIP1L and TCTN2 fail to accumulate at the transition zone in cells lacking SEPTIN9 or depleted of the exocyst complex. Thus, SEPTIN9 regulates the recruitment of transition zone proteins on Golgi-derived vesicles by activating the exocyst via RhoA to allow the formation of primary cilia.

cell biology↗

Opening the side exit pores of ClpP by lowering the pH of proteolytic chamber coupled with substrate hydrolysis

The ClpP serine peptidase is a tetradecameric degradation machine involved in many physiological processes. It becomes a competent ATP-dependent protease with Clp-ATPases. Small chemical compounds, acyldepsipeptides (ADEPs), are known to cause dysregulation and activation of ClpP without ATPases, and have potential as novel antibiotics. Previously, structural studies of ClpP from various species revealed the structural details, conformational changes, and activation mechanism. Although product release by the side exit pores has been proposed, the detailed driving force for product release remains elusive. Here, we report crystal structures of ClpP from Bacillus subtilis (BsClpP) in unforeseen ADEP-bound states. Cryo-electron microscopy structures revealed various conformational states at different pH conditions. To understand the conformational change for product release, we investigated the relationship between substrate hydrolysis and the pH lowering process. Our data, together with previous findings, provide insight into the molecular mechanism of product release by ClpP self-compartmentalizing protease.

biochemistry↗

Pinealectomy increases thermogenesis and decreases lipogenesis

This study was designed to determine the effects of pineal gland-derived melatonin on obesity by employing rat pinealectomy (Pnx) model. After 10 weeks of high-fat diet (HFD) feeding, rats received sham or Pnx surgery followed by 10 weeks normal chow diet (NCD) feeding. Pnx decreased expressions of melatonin receptors, MTNR1A and MTNR1B, in brown (BAT) and white adipose tissues (WAT). Pnx rats showed increased insulin sensitivity compared with those that received sham surgery. Leptin levels were significantly decreased in the serum of Pnx group. In addition, Pnx stimulated thermogenic genes in BAT whereas attenuated lipogenic genes in WAT and the liver. Histologic analyses revealed marked decreased in the size of lipid droplets and increased expressions of UCP1 in BAT and attenuated lipid droplets in the sized and the number in the liver of Pnx group. In conclusion, these results in the current study suggest that Pnx increases thermogenesis in BAT and decreases lipogenesis in WAT and the liver.

biochemistry↗

Gene-centric constraint of metabolic models

MotivationA number of approaches have been introduced in recent years allowing gene expression data to be integrated into the standard flux Balance Analysis (FBA) technique. This additional information permits greater accuracy in the prediction of intracellular fluxes, even when knowledge of the growth medium and biomass composition is incomplete, and allows exploration of organisms metabolism under wide-ranging conditions. However, existing techniques still focus on the reaction as the fundamental unit of their modelling. This carries the advantages of incorporating expression measurements, but discounts the fact that genes (and their associated proteins) may be involved in the catalysis of multiple reactions through the formation of alternative protein complexes.\n\nResultsWe demonstrate an approach focusing not on reactions or genes as the fundamental unit, but on the Gene Complex (GC), a set of genes that is sufficient to catalyse a given reaction. We define expression-based limits in such a way that proteins cannot do double duty: no single molecule is permitted to contribute to the catalysis of more than one reaction at a time. Using experimentally determined RNA expression and intracellular fluxes, we validate this novel and more conceptually sound approach.\n\nAvailability and ImplementationAn implementation of the GC-FO_SCPLOWLUXC_SCPLOW algorithm is available as part of the Pyabolism python module. https://github.com/nickfyson/pyabolism\n\nContactnickfyson@gmail.com

biochemistry↗