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  • Cellular communication among smooth muscle cells: The role of membrane potential via connexins. 

    Xiao, Chun; Sun, Yishui; Huang, Huaxiong; Yue, Xingye; Song, Zilong; David, Tim; Xu, Shixin (Journal of theoretical biology, 2023-11)
    Communication via action potentials among neurons has been extensively studied. However, effective communication without action potentials is ubiquitous in biological systems, yet it has received much less attention ...
  • Assessing the nonlinear association of environmental factors with antibiotic resistance genes (ARGs) in the Yangtze River Mouth, China. 

    Miao, Jiazheng; Ling, Yikai; Chen, Xiaoyuan; Wu, Siyuan; Liu, Xinyue; Xu, Shixin; Umar, Sajid; ... (8 authors) (Scientific reports, 2023-11)
    The emergence of antibacterial resistance (ABR) is an urgent and complex public health challenge worldwide. Antibiotic resistant genes (ARGs) are considered as a new pollutant by the WHO because of their wide distribution ...
  • A 15-year consolidated overview of data in over 6000 patients from the Transthyretin Amyloidosis Outcomes Survey (THAOS). 

    Gentile, Luca; Coelho, Teresa; Dispenzieri, Angela; Conceição, Isabel; Waddington-Cruz, Márcia; Kristen, Arnt; Wixner, Jonas; ... (23 authors) (Orphanet journal of rare diseases, 2023-11)
    <h4>Background</h4>Transthyretin amyloidosis (ATTR amyloidosis) is a progressive, multisystemic, life-threatening disease resulting from the deposition of variant or wild-type (ATTRwt amyloidosis) transthyretin amyloid fibrils ...
  • Improved AlphaFold modeling with implicit experimental information. 

    Terwilliger, Thomas C; Poon, Billy K; Afonine, Pavel V; Schlicksup, Christopher J; Croll, Tristan I; Millán, Claudia; Richardson, Jane S; ... (9 authors) (Nature methods, 2022-11)
    Machine-learning prediction algorithms such as AlphaFold and RoseTTAFold can create remarkably accurate protein models, but these models usually have some regions that are predicted with low confidence or poor accuracy. ...
  • Accelerating crystal structure determination with iterative AlphaFold prediction. 

    Terwilliger, Thomas C; Afonine, Pavel V; Liebschner, Dorothee; Croll, Tristan I; McCoy, Airlie J; Oeffner, Robert D; Williams, Christopher J; ... (11 authors) (Acta crystallographica. Section D, Structural biology, 2023-03)
    Experimental structure determination can be accelerated with artificial intelligence (AI)-based structure-prediction methods such as AlphaFold. Here, an automatic procedure requiring only sequence information and crystallographic ...

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