7 research outputs found
Relevance of Epithelial Damage and Basement Membrane Thickness to Eosinophilic Infiltration in Nasal Polyps of Chronic Rhinosinusitis
Effects of soil management on changes of soil carbon content in alluvial paddy soil in Niigata
FMOe: Preprocessing and visualizing package of the fragment molecular orbital method for Molecular Operating Environment and its applications in covalent ligand and metalloprotein analyses
The fragment molecular orbital (FMO) method is an efficient quantum chemical calculation technique for large biomolecules, dividing each into smaller fragments and providing inter-fragment interaction energies (IFIEs) that support our understanding of molecular recognition. The ab initio fragment MO method program (ABINIT-MP), an FMO processing software, can automatically divide typical proteins and nucleic acids. In contrast, small molecules such as ligands and hetero systems must be manually divided. Thus, we developed a graphical user interface to easily handle such manual fragmentation as a library for Molecular Operating Environment (MOE) that preprocesses and visualizes FMO calculations. We demonstrated fragmentation with IFIE analyses for the two following cases: 1) covalent cysteine–ligand bonding inside the SARS-CoV-2 main protease (Mpro) and nirmatrelvir (Paxlovid) complex, and 2) the metal coordination inside a zinc-bound cyclic peptide. IFIE analysis successfully identified the key amino acid residues for the molecular recognition of nirmatrelrvir with Mpro and the details of their interactions (e.g., hydrogen bonds and CH/π interactions) via ligand fragmentation of functional group units. In metalloproteins, we found an efficient and accurate scheme for the fragmentation of Zn2+ ions with four histidines coordinated to the ion. FMOe simplifies manual fragmentation, allowing users to experiment with various fragmentation patterns and perform in-depth IFIE analysis with high accuracy. In the future, our findings will provide valuable insight into complicated cases, such as ligand fragmentation in modality drug discovery, especially for medium-sized molecules and metalloprotein fragmentation around metals
Optimal Soil Eh, pH, and Water Management for Simultaneously Minimizing Arsenic and Cadmium Concentrations in Rice Grains
Arsenic
(As) and cadmium (Cd) concentrations in rice grains are
a human health concern. We conducted field experiments to investigate
optimal conditions of Eh and pH in soil for simultaneously decreasing
As and Cd accumulation in rice. Water managements in the experiments,
which included continuous flooding and intermittent irrigation with
different intervals after midseason drainage, exerted striking effects
on the dissolved As and Cd concentrations in soil through changes
in Eh, pH, and dissolved Fe(II) concentrations in the soil. Intermittent
irrigation with three-day flooding and five-day drainage was found
to be effective for simultaneously decreasing the accumulation of
As and Cd in grain. The grain As and Cd concentrations were, respectively,
linearly related to the average dissolved As and Cd concentrations
during the 3 weeks after heading. We propose a new indicator for expressing
the degree to which a decrease in the dissolved As or Cd concentration
is compromised by the increase in the other. For minimizing the trade-off
relationship between As and Cd in rice grains in the field investigated,
water management strategies should target the realization of optimal
soil Eh of −73 mV and pH of 6.2 during the 3 weeks after heading