IGH rod-like tracer: An AlphaFold2 structural similarity extraction-based predictive biomarker for MRD monitoring in pre-B-ALL

Autor: Zhuo, Zhongling, Wang, Qingchen, Li, Chang, Zhang, Lili, Zhang, Lanxin, You, Ran, Gong, Yan, Hua, Ying, Miao, Linzi, Bai, Jiefei, Zhang, Chunli, Feng, Ru, Chen, Meng, Su, Fei, Qu, Chenxue, Xiao, Fei

Publikováno v: In iScience 21 July 2023 26(7)

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Artificial intelligence-based recognition for variant pathogenicity of BRCA1 using AlphaFold2-predicted structures.

Autor: Li C; Peking University Fifth School of Clinical Medicine, Beijing, China.; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Zhang L; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Zhuo Z; Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Su F; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Li H; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Xu S; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Liu Y; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Zhang Z; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Xie Y; Information Center, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Yu X; Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China., Bian L; Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China., Xiao F; Peking University Fifth School of Clinical Medicine, Beijing, China.; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.

Publikováno v: Theranostics [Theranostics] 2023 Jan 01; Vol. 13 (1), pp. 391-402. Date of Electronic Publication: 2023 Jan 01 (Print Publication: 2023).