Biology subjects

Hirokawa, T.

Publications and source records attributed to Hirokawa, T..

5 recordsLinked to original sources

bioRxiv2026

Elucidation of the anti-inflammatory mechanism of isoliquiritigenin from Glycyrrhiza uralensis using activity-based protein profiling

Glycyrrhiza uralensis is a widely used medicinal plant present in more than 70% of Kampo formulations in Japan owing to its diverse pharmacological activities, including immunomodulatory, antitumor, and antioxidant effects. Isoliquiritigenin (ILG), a major chalcone constituent of G. uralensis, exhibits anti-inflammatory activity; however, its molecular mechanism remains unclear. Here, we employed an activity-based protein profiling approach to identify the molecular targets of ILG. Given that the ,{beta}-unsaturated carbonyl moiety of ILG can covalently react with reactive cysteine residues via nucleophilic addition, we used an iodoacetamide-based probe to globally profile cysteine-reactive proteomes. The comparative analysis between ILG- and vehicle-treated RAW 264.7 macrophages identified cysteine 65 (Cys65) of lipocalin-type prostaglandin D2 synthase (L-PGDS) as a potential covalent target. ILG treatment did not alter L-PGDS expression levels, indicating that reduced probe labeling reflects direct covalent competition rather than changes in expression. Consistently, ILG significantly suppressed prostaglandin D2 (PGD2) production, comparable to the selective L-PGDS inhibitor AT-56. Although both ILG and AT-56 reduced interleukin-6 expression, ILG exerted a stronger inhibitory effect. Our results demonstrate that covalent inhibition of L-PGDS and subsequent suppression of PGD2 production represent a key mechanism underlying the anti-inflammatory activity of ILG.

biochemistry↗

bioRxiv2024

Topological data analysis based on mixed-solvent molecular dynamics simulations enhance cryptic pocket detection

Some functional proteins undergo conformational changes to expose hidden binding sites when a binding molecule approaches their surface. Such binding sites are called cryptic sites and are important targets for drug discovery. However, it is still difficult to correctly predict cryptic sites. Therefore, we introduce a new method, CrypToth, for the precise identification of cryptic sites utilizing the persistent homology method. This method integrates topological data analysis and mixed-solvent molecular dynamics (MSMD) simulations. To identify hotspots corresponding to cryptic sites, we conducted MSMD simulations using six probes with different chemical properties: benzene, isopropanol, phenol, imidazole, acetonitrile, and ethylene glycol. Subsequently, we applied our topological data analysis method to rank hotspots based on the possibility of harboring cryptic sites. Evaluation of CrypToth using nine target proteins containing well-defined cryptic sites revealed its superior performance compared to recent machine-learning methods. As a result, in 7 out of 9 cases, hotspots associated with cryptic sites were ranked highest. CrypToth can explore hotspots on the protein surface favorable to ligand binding using MSMD simulations with six different probes and then identify hotspots corresponding to cryptic sites by assessing the proteins conformational variability using the topological data analysis. This synergistic approach facilitates the prediction of cryptic sites with high accuracy.

bioinformatics↗

bioRxiv2023

Pseudoirreversible inhibition elicits persistent efficacy of a sphigosine-1-phosphate receptor-1 antagonist

Sphingosine 1-phosphate receptor 1 (S1PR1), a G protein-coupled receptor, is required for lymphocyte trafficking, and is a promising therapeutic target in inflammatory diseases. We synthesized a competitive antagonist, KSI-6666, that persistently inhibits S1PR1 activity and effectively suppresses pathogenic inflammation. Metadynamics simulation proposed that the interaction of KSI-6666 with a methionine residue in the ligand-binding pocket of S1PR1 may inhibit the dissociation of KSI-6666 from S1PR1. Consistently, in vitro functional and mutational analyses revealed that KSI-6666 causes pseudoirreversible inhibition of S1PR1, dependent on the methionine residue of the protein and substituents on the distal benzene ring of KSI-6666. Moreover, in vivo study suggested that this pseudoirreversible inhibition is responsible for the persistent activity of KSI-6666. In this study, we discover that KSI-6666 is a potent S1PR1 antagonist, achieving pseudoirreversible inhibition of S1PR1 activity through interacting with a specific methionine residue.

pharmacology and toxicology↗

bioRxiv2020

Multidrug treatment with nelfinavir and cepharanthine against COVID-19

Antiviral treatments targeting the emerging coronavirus disease 2019 (COVID-19) are urgently required. We screened a panel of already-approved drugs in a cell culture model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and identified two new antiviral agents: the HIV protease inhibitor Nelfinavir and the anti-inflammatory drug Cepharanthine. In silico modeling shows Nelfinavir binds the SARS-CoV-2 main protease consistent with its inhibition of viral replication, whilst Cepharanthine inhibits viral attachment and entry into cells. Consistent with their different modes of action, in vitro assays highlight a synergistic effect of this combined treatment to limit SARS-CoV-2 proliferation. Mathematical modeling in vitro antiviral activity coupled with the known pharmacokinetics for these drugs predicts that Nelfinavir will facilitate viral clearance. Combining Nelfinavir/Cepharanthine enhanced their predicted efficacy to control viral proliferation, to ameliorate both the progression of disease and risk of transmission. In summary, this study identifies a new multidrug combination treatment for COVID-19.

microbiology↗

bioRxiv2019

An integrated approach unravels a crucial structural property for the function of the insect steroidogenic Halloween protein Noppera-bo

Ecdysteroids are the principal insect steroid hormones essential for insect development and physiology. In the last 18 years, several enzymes responsible for ecdysteroid biosynthesis, encoded by Halloween genes, have been identified and well characterized, both genetically and biochemically. However, none of these proteins have yet been characterized at the tertiary structure level. Here, we report an integrated in silico, in vitro, and in vivo analyses of the Halloween glutathione S-transferase (GST) protein, Noppera-bo (Nobo). We determine crystal structures of Drosophila melanogaster Nobo (DmNobo) complexed with glutathione and 17{beta}-estradiol, a DmNobo inhibitor. 17{beta}-estradiol almost fully occupied the putative ligand-binding pocket, and a prominent hydrogen bond formed between Asp113 of DmNobo and 17{beta}-estradiol. Asp113 is essential for inhibiting DmNobo enzymatic activity by 17{beta}-estradiol, as 17{beta}-estradiol does not inhibit and physically interacts less with the Asp113Ala DmNobo point mutant. Asp113 is highly conserved among Nobo proteins, but not among other GSTs, implying that Asp113 is important for endogenous Nobo function. Indeed, a homozygous nobo allele possessing the Asp113Ala point mutation exhibits embryonic lethality with undifferentiated cuticle structure, a phenocopy of complete loss-of-function nobo homozygotes. These results suggest that the nobo family of GST proteins has acquired a unique amino acid residue, which seems to be essential for binding an endogenous sterol substrate to regulate ecdysteroid biosynthesis. This is the first study to reveal the structural characteristics of insect steroidogenic Halloween proteins. This study also provides basic insight into applied entomology for developing a new type of insecticides that specifically inhibit ecdysteroid biosynthesis.\n\nSignificance StatementInsect molting and metamorphosis are drastic and dynamic biological processes and, therefore, have fascinated many scientists. Ecdysteroids represent one class of insect hormones that are indispensable for inducing molting and metamorphosis. It is well known that proteins responsible for catalyzing ecdysteroid biosynthesis reactions are encoded by \"Halloween\" genes, most of which have names of ghosts and phantoms. However, no studies have focused on the structural properties of these biosynthetic proteins. In this study, we addressed this unsolved issue and successfully unraveled a structural property that is crucial for the function of the fruit fly Halloween protein, Noppera-bo (a Japanese faceless ghost). This is the first study to reveal the structural characteristics of an insect steroidogenic Halloween protein.

biochemistry↗