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    DIORS: Enhancing drug-target interaction prediction via structure and signature integrated-driven approach and discovering potential targeted molecules by Yiran Tang, Shengqiao Gao, Dan Luo, Xuyong Jiang, Xueru Zhao, Wanting Hu, Yongxiang Zhang, Zhiyong Xiao, Lu Han, Wenxia Zhou

    Published 2025-05-01
    “…Drug-target interaction prediction is critical for drug development. Through the integration of structural and transcriptional signature information, molecules both binding to the target and producing therapeutic activities could be found out to improve targeted drug prediction. …”
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    Integrative profiling of lung cancer biomarkers EGFR, ALK, KRAS, and PD-1 with emphasis on nanomaterials-assisted immunomodulation and targeted therapy by Li Peng, Hongmei Li, Wencai Yan, Yingjie Liu, Haihao Zhu, Yingcai Hong

    Published 2025-08-01
    “…Key mutations, including EGFR T790M and KRAS G12C, were localized to ATP-binding clefts and allosteric pockets respectively, based on structural mapping using SWISS-MODEL. …”
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    Notch-deficient skin induces a lethal systemic B-lymphoproliferative disorder by secreting TSLP, a sentinel for epidermal integrity. by Shadmehr Demehri, Zhenyi Liu, Jonghyeob Lee, Meei-Hua Lin, Seth D Crosby, Christopher J Roberts, Perry W Grigsby, Jeffrey H Miner, Andrew G Farr, Raphael Kopan

    Published 2008-05-01
    “…RBP-j is the DNA binding partner of Notch, but both RBP-j-dependent and independent Notch signaling were necessary for proper epidermal differentiation and lipid deposition. …”
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  11. 531

    A Label-Free CRISPR/Cas12a-G4 Biosensor Integrated with FTA Card for Detection of Foodborne Pathogens by Anqi Chao, Qinqin Hu, Kun Yin

    Published 2025-04-01
    “…To tackle this problem, we have developed a label-free, equipment-free platform integrating FTA card-based extraction, CRISPR/Cas12a, and pre-folded G-quadruplex (G4)–Thioflavin T (ThT) signal reporter. …”
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  12. 532

    Integrating Molecular Dynamics, Molecular Docking, and Machine Learning for Predicting SARS-CoV-2 Papain-like Protease Binders by Ann Varghese, Jie Liu, Tucker A. Patterson, Huixiao Hong

    Published 2025-07-01
    “…Our findings demonstrate the power of integrating computational modeling with machine learning to accelerate drug repurposing against emerging viral targets.…”
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    Integrated metabolome and transcriptome analyses provide comprehensive insight into dark- and light-responsive mechanisms in Althaea officinalis hairy root cultures by Yun Ji Park, Jae Kwang Kim, Nam Su Kim, Young Jin Park, Ramaraj Sathasivam, Sang Un Park

    Published 2024-11-01
    “…Moreover, light-responsive genes, such as ribulose bisphosphate carboxylase, photosystem II, and chlorophyll A-B binding family protein, were upregulated. Conclusions These findings emphasise that exposure of A. officinalis hairy root culture to light conditions is a useful method for enhancing most of the primary and secondary metabolites. …”
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    Integrative network pharmacology, transcriptomics, and proteomics reveal the material basis and mechanism of the Shen Qing Weichang Formula against gastric cancer by Yi Wang, Xiaoyu Sun, Mingming Ren, Fangqi Ma, Ruohan Zhao, Xiaohong Zhu, Yan Xu, Nida Cao, Yuanyuan Chen, Yongfu Pan, Aiguang Zhao

    Published 2025-03-01
    “…A comprehensive strategy integrating mass spectrometry, network pharmacology, omics analysis, and bioinformatic methods was adopted to explore the core components, key targets, and potential mechanism of SQWCF in treating GC. …”
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    Integrated functional genomic analysis identifies regulatory variants underlying a major QTL for disease resistance in European sea bass by Robert Mukiibi, Serena Ferraresso, Rafaella Franch, Luca Peruzza, Giulia Dalla Rovere, Massimiliano Babbucci, Daniela Bertotto, Anna Toffan, Francesco Pascoli, Sara Faggion, Carolina Peñaloza, Costas S. Tsigenopoulos, Ross D. Houston, Luca Bargelloni, Diego Robledo

    Published 2025-03-01
    “…RNA sequencing revealed a clear association between the QTL genotype and the expression of two of the IFI27L2A genes, and the IFI27L2 gene. Integration with chromatin accessibility and histone modification data pinpointed two SNPs in active regulatory regions of two of these genes (IFI27L2A and IFI27L2), and transcription factor binding site gains for the resistant alleles were predicted. …”
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