Molecular simulations have largely contributed to the emergence of Metal Organic Frameworks (MOFs) not only for the resolution of the crystal structures of the most complex and poorly crystallized solids but also to enumerate all the plausible structures constructed by the assembly of a large diversity of inorganic and organic building blocks. Besides this in silico design of novel MOFs which has been only rarely validated so far by the post-synthesis of the desired material, a computational effort has been deployed to modulate the chemical and topological features of existing architectures specifically targeted for societally-relevant applications. Molecular modelling has been also frequently used to guide interpretation of the experimental data by providing a deep understanding of the microscopic adsorption/separation mechanism with the objective to drive the synthesis effort towards tuned materials with the required features for an optimization of their properties. This presentation will highlight the invaluable contribution of the computational approaches from the birth of novel MOFs and their structure elucidations to the characterization and understanding of their properties, throughout recent advances our groups have made in this field. A special emphasizes will be devoted to a series of recent MOFs that show promising adsorption/separation performances for natural gas upgrading, carbon capture and interesting features for mechanical energy storage and proton conduction.

Human adenoviruses (HAdVs) cause a wide range of diseases, including respiratory infections and gastroenteritis, and have more than 65 genotypes. To investigate the current genotypes of circulating HAdV strains, we performed molecular genotyping of HAdVs in the stool from patients with acute gastroenteritis and tried to determine their associations with clinical symptoms. From June 2014 to May 2016, 3,901 fecal samples were tested for an AdV antigen, and 254 samples (6.5%) yielded positive results. Genotyping using PCR and sequencing of the capsid hexon gene was performed for 236 AdV antigen-positive fecal specimens. HAdV-41, of species F, was the most prevalent genotype (60.6%), followed by HAdV-2 of species C (13.8%). Other genotypes, including HAdV-3, HAdV-1, HAdV-5, HAdV-6, HAdV-31, HAdV-40, HAdV-12, and HAdV-55, were also detected. Overall, 119 patients (50.4%) showed concomitant respiratory symptoms, and 32 patients (13.6%) were diagnosed with intussusception. HAdV-1 and HAdV-31 were significantly associated with intussusception (P < 0.05). Our results demonstrate the recent changes in trends of circulating AdV genotypes associated with gastroenteritis in Korea, which should be of value for improving the diagnosis and developing new detection, treatment, and prevention strategies for broad application in clinical laboratories.

Nitroalkane compounds are widely used in chemical industry and are also produced by microorganisms and plants. Some nitroalkanes have been demonstrated to be carcinogenic, and enzymatic oxidation of nitroalkanes is of considerable interest. 2-Nitropropane dioxygenases from Neurospora crassa and Williopsis mrakii (Hansenula mrakii), members of one family of the nitroalkane-oxidizing enzymes, contain FMN and FAD, respectively. The enzymatic oxidation of nitroalkanes by 2-nitropropane dioxygenase operates by an oxidase-style catalytic mechanism, which was recently shown to involve the formation of an anionic flavin semiquinone. This represents a unique case in which an anionic flavin semiquinone has been experimentally observed in the catalytic pathway for oxidation catalyzed by a flavin-dependent enzyme. Here we report the first crystal structure of 2-nitropropane dioxygenase from Pseudomonas aeruginosa in two forms: a binary complex with FMN and a ternary complex with both FMN and 2-nitropropane. The structure identifies His 152 as the proposed catalytic base, thus providing a structural framework for a better understanding of the catalytic mechanism.Nitroalkanes are widely used in industry, because they are useful as intermediate compounds in chemical synthesis (1, 2). They are also synthesized by various organisms. Many antibiotics, e.g. chloramphenicol and azomycin, contain nitro groups, and many leguminous plants produce nitro toxins such as 3-nitro-1-propionic acid and 3-nitro-1-propanol (3). However, many nitroalkanes are expected to be toxic, and some have been shown to be carcinogenic (4 -10). For example, 2-nitropropane causes the formation of both 8-hydroxy-and 8-aminoguanine in the DNA and RNA (11). The enzymatic oxidation of nitroalkanes into less toxic species can therefore be exploited for use in bioremediation.2-Nitropropane dioxygenase (EC 1.13.11.32), one of the nitroalkaneoxidizing enzyme families, catalyzes oxidative denitrification of nitroalkanes to their corresponding carbonyl compounds and nitrites. To date, 2-nitropropane dioxygenase has been isolated from a fungus Neurospora crassa (12) and a yeast Williopsis mrakii (Hansenula mrakii) (13).The two enzymes have similar molecular masses of ϳ40 kDa, but their prosthetic groups are different. FMN and FAD are found in the N. crassa and W. mrakii (H. mrakii) enzymes, respectively (14, 15). The ncd-2 gene encoding for 2-nitropropane dioxygenase in N. crassa has been cloned and expressed in Escherichia coli (16). The heterologously expressed enzyme was found to be a homodimer containing 1 mol of non-covalently bound FMN per mole of subunit (16). A steady-state kinetic analysis showed that the preferred substrates for the enzyme are anionic nitronates as compared with neutral nitroalkanes and that the enzyme has broad substrate specificity that is independent of substrate size (16).It has been shown that 2-nitropropane dioxygenase operates through an oxidase-style catalytic mechanism, in which substrate oxidation occurs prior to and independently ...

Reliable results of serologic positivity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody before and after AstraZeneca (AZ) vaccination are essential to estimate the efficacy of vaccination. We assessed the positivity rates and associated factors using five SARS-CoV-2 antibody assays. A total of 228 paired serum samples (456 samples) were obtained from 228 participants. After baseline sampling, the second sampling was conducted between 11-28 days after the first dose of AZ. Sera were tested using five SARS-CoV-2 antibody assays, including two surrogate virus neutralization tests. A questionnaire on symptom, severity, and duration of adverse reactions was completed by all participants. The overall positive rates for SARS-CoV-2 antibody were 84.6% for Roche, 92.5% for Abbott, 75.4% for Siemens, 90.7% for SD Biosensor, and 66.2% for GenScript assays after the first dose of AZ vaccination. The positive rates and antibody titer of sera obtained between 21-28 days were significantly higher than those obtained between 11-20 days in all five assays. More severe and longer duration of adverse reactions were related to higher SARS-CoV-2 antibody levels. The agreements and correlations among the applied assays were substantial (к=0.73-0.95) and strong (ρ=0.83-0.91). A single dose of AZ vaccination led to high positivity rates based on the five assays. Days after vaccination and adverse reactions could help estimate serologic conversions. The results should be interpreted cautiously considering the applied assays and cutoffs. Our findings could inform decisions regarding vaccination and laboratory settings and, thus, contribute to the control of the spread of SARS-CoV-2 infection.

Introduction Psychological factors such as anxiety and confidence that students have in the patient care situation are important in that this affects the actual clinical performance. Students who are just starting clinical practice have a lack of clinical knowledge, skill proficiency, and patient communication skills, so they experience anxiety and lack of confidence in clinical setting. Practice in a safe environment, such as simulation education, can help students perform more settled and competently in patient care. The purpose of this study was to analyze the effect of high-fidelity simulation experience on anxiety and confidence in medical students. Materials and methods This study enrolled 37 5th-year students at Ajou University School of Medicine in 2020. Two simulation trainings were implemented, and a survey was conducted to measure students’ level of anxiety and confidence before and after each simulation. Based on the research data, a paired t-test was conducted to compare these variables before and after the simulation, and whether this was their first or second simulation experience. Results Students had a significantly lower level of anxiety and a significantly higher level of confidence after the simulation than before. In addition, after one simulation experience, students had less anxiety and more confidence before the second simulation compared to those without simulation experience. Conclusions We confirmed that medical students need to be repeatedly exposed to simulation education experiences in order to have a sense of psychological stability and to competently deliver medical treatment in a clinical setting. There is a practical limitation in that medical students do not have enough opportunities to meet the patients during clinical practice in hospitals. Therefore, in order to produce excellent doctors, students should have the expanded opportunities to experience simulation education so they can experience real-world medical conditions.