Publications by authors named "Yu-Shi Tian"

Article Synopsis
  • * The research utilizes the fragment molecular orbital (FMO) method on a dataset comprising over 5,000 protein structures from the SCOP2 database, resulting in more than 200 million inter-fragment interaction energies.
  • * Multiple basis sets were applied to improve accuracy in energy calculations, and the total dataset size is approximately 6.7 GB, which can aid in functional analyses and machine learning applications related to protein properties.
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  • Monoamine oxidase B (MAO-B) inhibitors, including selegiline, rasagiline, and safinamide, are commonly prescribed to manage Parkinson's disease (PD), but they have distinct pharmacological profiles.
  • A study using the FAERS database revealed specific adverse event (AE) signals associated with these drugs, with unique risks like hypocomplementemia and liver disorders linked to selegiline and a tyramine reaction linked to rasagiline.
  • Safinamide showed no AE signal for REM sleep behavior disorder, which might indicate its non-dopaminergic effects could provide certain advantages in PD treatment.
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Meta-analysis of diagnostic test accuracy (DTA) is a powerful statistical method for synthesizing and evaluating the diagnostic capacity of medical tests and has been extensively used by clinical physicians and healthcare decision-makers. However, publication bias (PB) threatens the validity of meta-analysis of DTA. Some statistical methods have been developed to deal with PB in meta-analysis of DTA, but implementing these methods requires high-level statistical knowledge and programming skill.

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  • Microarray data is essential for cancer classification but poses challenges due to having many genes (large p) and few subjects (small n), which affects classification validity and creates a need for effective gene selection techniques.* -
  • This study introduces Iso-GA, a new method for gene selection that combines the Isomap manifold learning algorithm with genetic algorithms to better capture the complex relationships in gene expression data.* -
  • Iso-GA has been tested on eight cancer microarray datasets and demonstrated superior performance over existing methods by accurately classifying cancers using a smaller number of essential genes.*
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Purpose: In this PRISMA-compliant systematic review and meta-analysis, we aimed to assess the efficacy of golimumab (GOL) against non-infectious uveitis (NIU).

Methods: We included eight articles in the meta-analysis. The primary outcome was inflammation remission.

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Background: Clinical differences between degludec U100 (Deg-100) and glargine U300 (Gla-300) in type 1 diabetes (T1D) were unknown.

Aim: To indirectly compare the safety, efficacy, and cost-effectiveness between Deg-100 and Gla-300 in T1D adults via systematic review.

Method: Medline, the Cochrane Library, ClinicalTrials.

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Article Synopsis
  • Some drugs can cause severe side effects that can endanger patients' lives and financially impact pharmaceutical companies.
  • Computational methods, particularly the matrix factorization approach, have been developed to predict these side effects based on drug history but haven't fully encapsulated all necessary characteristics.
  • The authors applied a logistic matrix factorization algorithm to improve prediction accuracy by 2.5% and effectively solved the cold-start problem, making their model potentially beneficial for clinical warning systems.
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  • The study compared the effectiveness and safety of second-generation basal insulins (glargine U300 and degludec U100) with traditional insulins (NPH and first-generation insulins) in adults with type 1 diabetes (T1D).
  • Systematic reviews of randomized controlled trials showed that second-generation insulins had similar effects on blood sugar control as NPH and first-generation insulins, but with varying safety profiles.
  • Notably, NPH was linked to a higher risk of severe hypoglycemia and increased nighttime low blood sugar events, while glargine U300 and degludec U100 had different impacts on weight gain compared to first-generation insulins.
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The spike glycoprotein (S-protein) mediates SARS-CoV-2 entry via intermolecular interaction with human angiotensin-converting enzyme 2. The receptor binding domain (RBD) of the S-protein has been considered critical for this interaction and acts as the target of numerous neutralizing antibodies and antiviral peptides. This study used the fragment molecular orbital method to analyze the interactions between the RBD and antibodies/peptides and extracted crucial residues that can be used as epitopes.

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  • - The study assessed knowledge, attitudes, and practices (KAP) regarding COVID-19 among 362 university students in Japan from May to July 2020, revealing that overall KAP was high, with 100% understanding of safety measures like avoiding crowds.
  • - Key findings showed that a majority (96.4%) practiced frequent handwashing and mask-wearing, and 68.5% held positive attitudes toward early drug administration.
  • - Various factors like gender, major, and psychological traits influenced KAP, with increases in knowledge and information leading to better prevention actions, while self-restraint decreased over time.
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  • Cycloaddition using transition metals like rhodium (I) is crucial for creating functionalized molecules in medicinal chemistry.
  • The study focuses on two types of compounds: one with an allenyl group and the other with a vinyl group, both linked to a cyclopentane and alkyne.
  • Computational models showed that the allenyl compound has a significantly lower reaction energy compared to the vinyl compound, with molecular orbitals influencing the reactivity differences.
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Background: Even though R is one of the most commonly used statistical computing environments, it lacks a graphical user interface (GUI) that appeals to students, researchers, lecturers, and practitioners in medicine and pharmacy for conducting standard data analytics. Current GUIs built on top of R, such as EZR and R-Commander, aim to facilitate R coding and visualization, but most of the functionalities are still accessed through a command-line interface (CLI). To assist practitioners of medicine and pharmacy and researchers to run most routines in fundamental statistical analysis, we developed an interactive GUI; i.

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Background: Vonoprazan is a potassium-competitive acid blocker (P-CAB) that is frequently used in Japan for Helicobacter pylori (H. pylori) eradication, treatment of gastroesophageal reflux disease, and treatment of post endoscopic submucosal dissection (ESD) complications. We sought to determine if vonoprazan was superior to proton pump inhibitors (PPIs) for treating ESD-induced ulcers (as assessed by ulcer healing and shrinkage ratios) and preventing delayed bleeding over various treatment durations (2, 4, and 8 weeks).

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Quantitative structure-activity relationship (QSAR) techniques, especially those that possess three-dimensional attributes, such as the comparative molecular field analysis (CoMFA), are frequently used in modern-day drug design and other related research domains. However, the requirement for accurate alignment of compounds in CoMFA increases the difficulties encountered in its use. This has led to the development of several techniques-such as VolSurf, Grid-independent descriptors (GRIND), and Anchor-GRIND-which do not require such an alignment.

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Background: Vonoprazan is a potassium-competitive acid blocker (P-CAB). It is often used in Japan for Helicobacter pylori (H pylori) eradication, gastroesophageal reflux disease, and endoscopic submucosal dissection (ESD) ulcers and bleeding. This meta-analysis aims to evaluate whether vonoprazan has better therapeutic effect on ESD-induced ulcers and bleeding than proton pump inhibitors (PPIs) at different length of treatment periods (2, 4, and 8 weeks).

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The global occurrence of viral infectious diseases poses a significant threat to human health. Dengue virus (DENV) infection is one of the most noteworthy of these infections. According to a WHO survey, approximately 400 million people are infected annually; symptoms deteriorate in approximately one percent of cases.

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Molecular descriptors are widely employed to present molecular characteristics in cheminformatics. Various molecular-descriptor-calculation software programs have been developed. However, users of those programs must contend with several issues, including software bugs, insufficient update frequencies, and software licensing constraints.

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The discovery that several drug hypersensitivity reactions (DHRs) are associated with specific human leukocyte antigen (HLA) alleles has attracted increasing research interest. However, the underlying mechanisms of these HLA-induced DHRs remain unclear, especially for drug-induced immediate activation of T-cell clones (TCCs). Recently, a novel hypothesis involving partial detachment between self-peptide(s) and the HLA molecule (altered peptide-HLA (pHLA) model) has been proposed to explain these phenomena.

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Background: Thalidomide and its analogs, lenalidomide and pomalidomide (referred to as immunomodulatory imide drugs or IMiDs) have been known to treat multiple myeloma and other hematologic malignancies as well as to cause teratogenicity. Recently the protein cereblon was identified as the primary target of IMiDs, and crystallographic studies of the cereblon-IMiDs complex showed strong enantioselective binding for the (S)-enantiomer of IMiDs.

Results: Using the structures of cereblon and IMiDs [both (S)-enantiomers and (R)-enantiomers] we performed docking simulations in order to replicate this enantiomeric selectivity and to identify the region(s) contributing to this selectivity.

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High-risk human papillomaviruses (HPVs) are known to cause cervical cancer. Vaccines are now available to prevent HPV infection. However, a clinically approved drug is yet not available to treat HPV.

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Cyclophilin A has attracted attention recently as a new target of anti-human immunodeficiency virus type 1 (HIV-1) drugs. However, so far no drug against HIV-1 infection exhibiting this mechanism of action has been approved. To identify new potent candidates for inhibitors, we performed in silico screening of a commercial database of more than 1,300 drug-like compounds by using receptor-based docking studies.

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Two alpha-helical heptad repeats, N-HR and C-HR, located in the human immunodeficiency virus type 1 (HIV-1) envelope glycoprotein gp41, play an important role in membrane fusion by forming a 6-helix bundle. C34, a peptide mimicking C-HR, inhibits the formation of the 6-helix bundle; thus, it has potential as a novel antiretroviral compound. In order to improve the inhibitory effect of C34 on HIV-1 replication, we designed new C34-derived peptides based on computational analysis of the stable conformation of the 6-helix bundle.

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