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    <title>Repository Community: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/265</link>
    <description />
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        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60291" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60241" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60221" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60207" />
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    <dc:date>2026-05-06T16:11:11Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60291">
    <title>Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60291</link>
    <description>Title: Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts
Author(s): Jeon, Juhyeong; Yang, Wonjin; Park, Sangmin; Kim, Jin Hae; Lee, Young-Ho; Yu, Wookyung
Abstract: Intrinsically disordered proteins and protein regions (IDRs) underpin a wide range of vital biological processes but exhibit dynamic and heterogeneous conformations. Currently, many computational efforts seek to elucidate the conformational ensembles of these disordered proteins, yet most methods still struggle to fully capture their structural diversity. Here, we integrate structural libraries of various IDRs—derived from coarse-grained molecular dynamics (MD) simulations and machine learning models—with experimental chemical shifts obtained from NMR spectroscopy. Through a maximum entropy reweighting approach, we obtain reliable ensembles that more accurately reflect observed chemical shifts and reveal transient states. Our results highlight the importance of comprehensive sampling strategies for capturing diverse conformational states. Furthermore, we show that these weighted ensembles faithfully track conformational rearrangements under various conditions such as temperature, mutational effects, and environment, which are not fully captured by experiments alone. This approach provides a dataset encompassing each IDR’s specific structures along with their weights, offering a foundation for systematically exploring IDR structural landscapes, refining our understanding of their functional roles, and shedding light on processes related to misfolding and aggregation. Copyright © 2026 the Author(s).</description>
    <dc:date>2026-01-31T15:00:00Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60241">
    <title>RITA 또는 이의 유도체를 포함하는 뇌신경계 질환 예방 또는 치료용 조성물</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60241</link>
    <description>Title: RITA 또는 이의 유도체를 포함하는 뇌신경계 질환 예방 또는 치료용 조성물
Author(s): 정성희; 유성운</description>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60221">
    <title>Odors modulate self face perception and frontal ERP responses</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60221</link>
    <description>Title: Odors modulate self face perception and frontal ERP responses
Author(s): Yoon, Seongwon; Moon, Sun Ae; Kim, Kwangsu; Bae, Jisub; Lee, Jeewon; Moon, Cheil
Abstract: The face is crucial for social interactions, as it conveys various personal characteristics and influences social judgments. Although previous studies have demonstrated that odors can modulate facial perception and evaluation, these investigations largely focused on others’ faces (other-face). The neural mechanisms underlying self-face perception remain less explored. This study examined how odors differing in pleasantness modulate self-face perception and associated neural responses measured via event-related potentials (ERPs). Thirty-one healthy participants (14 women, 17 men) evaluated their self-faces after exposure to a neutral odor (lavender), an unpleasant odor (isovaleric acid), or solvent control (control). Exposure to isovaleric acid, compared with air and lavender, significantly reduced self-face attractiveness and preference ratings. Beyond these behavioral effects, we observed odor-related modulation of ERP amplitude and latency across multiple time windows, and Positive potential (PP) amplitude in the 300–600 ms interval was positively associated with self-face preference and attractiveness. These neural responses correlated with subjective self-evaluations, highlighting a critical period for affective self-assessment influenced by olfactory stimuli. These results suggest that odors modulate self-face perception and frontal ERP responses. Our findings suggest that everyday olfactory environments subtly shape self-perception, underscoring the broader impact of odors on social and psychological functioning.</description>
    <dc:date>2025-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60207">
    <title>A decade of progress in understanding LRRTM and Slitrk synaptic cell-adhesion molecules</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60207</link>
    <description>Title: A decade of progress in understanding LRRTM and Slitrk synaptic cell-adhesion molecules
Author(s): Kim, Dongwook; Kim, Byeongchan; Um, Ji Won; Ko, Jaewon
Abstract: For over a decade, synaptic cell-adhesion molecules (CAMs) have been recognized as fundamental determinants of neural circuit specificity and diversity. Among the CAMs, leucine-rich repeat (LRR)-containing transmembrane proteins have been established as crucial regulators of synaptic properties across diverse cell-types and brain regions. This minireview focuses on two families of LRR-containing CAMs: leucine-rich repeat transmembrane proteins (LRRTMs) and the Slit and Trk-like family (Slitrks). We provide a comprehensive synthesis of significant findings on LRRTMs and Slitrks since their initial characterization more than 15 years ago. Furthermore, we outline key unresolved questions to stimulate future studies on their functional mechanisms in neural circuit assembly and their pathophysiological roles in various neurological disorders.</description>
    <dc:date>2026-02-28T15:00:00Z</dc:date>
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