Jiayi Yuan

ORCID: 0009-0007-0121-4990
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About
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Research Areas
  • Receptor Mechanisms and Signaling
  • Monoclonal and Polyclonal Antibodies Research
  • Glycosylation and Glycoproteins Research
  • Neuroscience and Neuropharmacology Research
  • Gut microbiota and health
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Pharmacological Receptor Mechanisms and Effects
  • Cannabis and Cannabinoid Research
  • Protein purification and stability
  • Mass Spectrometry Techniques and Applications
  • Plant Virus Research Studies
  • RNA modifications and cancer
  • Genomics and Phylogenetic Studies
  • Single-cell and spatial transcriptomics
  • Microbial Community Ecology and Physiology
  • CRISPR and Genetic Engineering
  • RNA Research and Splicing
  • DNA Repair Mechanisms
  • Bacteriophages and microbial interactions

Washington University in St. Louis
2024

University of Pittsburgh
2021-2023

Discovery Institute
2022-2023

Princeton University
2022-2023

Duke University
2018

Abstract Bacterial populations are highly adaptive. They can respond to stress and survive in shifting environments. How the behaviours of individual bacteria vary during stress, however, is poorly understood. To identify characterize rare bacterial subpopulations, technologies for single-cell transcriptional profiling have been developed. Existing approaches show some degree limitation, example, terms number cells or transcripts that be profiled. Due part these limitations, few conditions...

10.1038/s41564-023-01462-3 article EN cc-by Nature Microbiology 2023-08-31

Abstract Antibodies are essential to life, and knowing their structures can facilitate the understanding of antibody–antigen recognition mechanisms. Precise antibody structure prediction has been a core challenge for prolonged period, especially accuracy H3 loop prediction. Despite recent progress, existing methods cannot achieve atomic accuracy, when homologous required these not available. Recently, RoseTTAFold, deep learning-based algorithm, shown remarkable breakthroughs in predicting 3D...

10.1093/bib/bbac152 article EN Briefings in Bioinformatics 2022-05-02

Although the 3D structures of active and inactive cannabinoid receptors type 2 (CB2) are available, neither X-ray crystal nor cryo-EM structure CB2-orthosteric ligand-modulator has been resolved, prohibiting drug discovery development CB2 allosteric modulators (AMs). In present work, we mainly focused on investigating potential binding site(s) CB2. We applied different algorithms or tools to predict sites with existing agonists. Seven can be observed for either CB2-CP55940 CB2-WIN 55,212-2...

10.3390/molecules27020453 article EN cc-by Molecules 2022-01-11

The design of therapeutic antibodies has attracted a large amount attention over the years. Antibodies are widely used to treat many diseases due their high efficiency and low risk adverse events. However, experimental methods antibody time-consuming expensive. Although computational techniques have had significant advances in past years, there still some challenges that need be solved, such as flexibility antigen structure, lack structural data absence standard protocol. In present work, we...

10.1093/bib/bbab143 article EN Briefings in Bioinformatics 2021-03-24

Abstract The protection of the replication fork structure under stress conditions is essential for genome maintenance and cancer prevention. A key signaling pathway involves TRPV2-mediated Ca 2+ release from ER, which triggered after generation cytosolic DNA activation cGAS/STING. This results in CaMKK2/AMPK subsequent Exo1 phosphorylation, prevent aberrant processing, thereby ensuring stability. However, it remains poorly understood how TRPV2 channel activated by presence DNA. Here, through...

10.1038/s41467-024-48988-6 article EN cc-by Nature Communications 2024-05-30

Helical elements separated by bulges frequently undergo transitions between unstacked and coaxially stacked conformations during the folding function of noncoding RNAs. Here, we examine dynamic properties poly-pyrimidine varying length ( n = 1–4, 7) across a range Mg 2+ concentrations using HIV-1 TAR RNA as model system solution NMR spectroscopy. In absence , helices linked with ≥ 3 residues adopt predominantly (stacked population <15%), whereas one-bulge two-bulge motifs >74%)....

10.1261/rna.066258.118 article EN RNA 2018-07-16

Abstract Bacterial populations are highly adaptive. They can respond to stress and survive in shifting environments. How the behaviors of individual bacteria vary during stress, however, is poorly understood. To identify characterize rare bacterial subpopulations, technologies for single-cell transcriptional profiling have been developed. Existing approaches, though, all limited some technical capacity (e.g., number cells or transcripts that be profiled). Due part these limitations, few...

10.1101/2022.09.21.508688 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-09-22

Allosteric modulators (AMs) that bind allosteric sites can exhibit greater selectivity than the orthosteric ligands and either enhance agonist-induced receptor activity (termed positive modulator or PAM), inhibit (negative AM NAM), have no effect on (silent SAM). Until now, it is not clear what exact effects of AMs are active site binding pocket(s). In present work, we collected both three-dimensional (3D) structures receptor-orthosteric ligand ligand-AM complexes a specific target protein....

10.1021/acschemneuro.1c00749 article EN ACS Chemical Neuroscience 2022-03-17

Allosteric modulators (AMs) are considered as a perpetual hotspot in research for their higher selectivity and various effects on orthosteric ligands (OL). They classified terms of functionalities positive, negative, or silent allosteric (PAM, NAM, SAM, respectively). In the present work, 11 pairs three-dimensional (3D) structures receptor–orthosteric ligand ligand–allosteric modulator complexes have been collected studies, including three different systems: GPCR, enzyme, ion channel....

10.1021/acschemneuro.2c00554 article EN cc-by ACS Chemical Neuroscience 2023-01-24
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