English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 19 Help

Selected(0)Clear Items/Page:    Sort:
Discovery and analysis of a novel antimicrobial peptide B1AW from the skin secretion of Amolops wuyiensis and improving the membrane-binding affinity through the construction of the lysine-introduced analogue Journal article
Qin,Haixin, Zuo,Weimin, Ge,Lilin, Siu,Shirley W.I., Wang,Lei, Chen,Xiaoling, Ma,Chengbang, Chen,Tianbao, Zhou,Mei, Cao,Zhijian, Kwok,Hang Fai. Discovery and analysis of a novel antimicrobial peptide B1AW from the skin secretion of Amolops wuyiensis and improving the membrane-binding affinity through the construction of the lysine-introduced analogue[J]. Computational and Structural Biotechnology Journal, 2023, 21, 2960-2972.
Authors:  Qin,Haixin;  Zuo,Weimin;  Ge,Lilin;  Siu,Shirley W.I.;  Wang,Lei; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:4.4/5.0 | Submit date：2023/08/03
Anticancer Peptide  Antimicrobial Peptide  Brevinin Peptide  Molecular Dynamic Simulation  Peptide Modification  
Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers Journal article
Zhao, Yan, Mei, Song, Huang, Yixuan, Chen, Junru, Zhang, Xinlei, Zhang, Peng. Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers[J]. Computational and Structural Biotechnology Journal, 2022, 20, 6403-6411.
Authors:  Zhao, Yan;  Mei, Song;  Huang, Yixuan;  Chen, Junru;  Zhang, Xinlei; et al.
Favorite | TC[WOS]:13 TC[Scopus]:13  IF:4.4/5.0 | Submit date：2023/01/30
Bio-marker  Cafs  Gene Signature  Immunotherapy  Ovarian Cancer  Prognosis  Single-cell Sequencing  
Long-timescale stimulation reveals critical non-conserved residues of phosphodiesterase affecting selectivity of Bay60-7550 Journal article
Liu Qing, Song MengHua, Qiu Yue, Leung Elaine Lai Han, Huang Qiang, Yao XiaoJun. Long-timescale stimulation reveals critical non-conserved residues of phosphodiesterase affecting selectivity of Bay60-7550[J]. Computational and Structural Biotechnology Journal, 2022.
Authors:  Liu Qing;  Song MengHua;  Qiu Yue;  Leung Elaine Lai Han;  Huang Qiang; et al.
Adobe PDF | Favorite |   IF:4.4/5.0 | Submit date：2023/10/24
Long-Timescale Simulations Revealed Critical Non-Conserved Residues of Phosphodiesterases Affecting Selectivity of BAY60-7550 Journal article
Qing Liu, Menghua Song, Yue Qiu, Elaine Lai-Han Leung, Qiang Huang, Xiaojun Yao. Long-Timescale Simulations Revealed Critical Non-Conserved Residues of Phosphodiesterases Affecting Selectivity of BAY60-7550[J]. Computational and Structural Biotechnology Journal, 2022.
Authors:  Qing Liu;  Menghua Song;  Yue Qiu;  Elaine Lai-Han Leung;  Qiang Huang; et al.
Favorite |   IF:4.4/5.0 | Submit date：2023/06/15
Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA) Journal article
Zhang, Tianjiao, Wong, Garry. Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)[J]. Computational and Structural Biotechnology Journal, 2022, 20, 3851-3863.
Authors:  Zhang, Tianjiao;  Wong, Garry
Adobe PDF | Favorite | TC[WOS]:25 TC[Scopus]:40  IF:4.4/5.0 | Submit date：2022/08/29
Wgcna  Non-linear Correlation  Alzheimer’s Disease  Hellinger Correlation  Gtex  Scrna-se  
Correction of out-of-focus microscopic images by deep learning Journal article
Zhang, Chi, Jiang, Hao, Liu, Weihuang, Li, Junyi, Tang, Shiming, Juhas, Mario, Zhang, Yang. Correction of out-of-focus microscopic images by deep learning[J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20, 1957-1966.
Authors:  Zhang, Chi;  Jiang, Hao;  Liu, Weihuang;  Li, Junyi;  Tang, Shiming; et al.
Favorite | TC[WOS]:18 TC[Scopus]:23  IF:4.4/5.0 | Submit date：2022/05/17
Bright-field Microscope  Confocal Fluorescence Microscope  Cyclegan  Deep Learning  Leishmania Parasite  Mammalian Cell  Microscopic Image  Out-of-focus Correction  
Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA) Journal article
Zhang, Tianjiao, Wong, Garry. Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)[J]. Computational and Structural Biotechnology Journal, 2022, 20, 3851-3863.
Authors:  Zhang, Tianjiao;  Wong, Garry
Favorite | TC[WOS]:25 TC[Scopus]:24  IF:4.4/5.0 | Submit date：2022/08/05
Alzheimer's Disease  Gtex  Hellinger Correlation  Non-linear Correlation  Scrna-seq  Wgcna  
Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance Journal article
Wang, Liang, Zhang, Xue Di, Tang, Jia Wei, Ma, Zhang Wen, Usman, Muhammad, Liu, Qing Hua, Wu, Chang Yu, Li, Fen, Zhu, Zuo Bin, Gu, Bing. Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance[J]. Computational and Structural Biotechnology Journal, 2022, 20, 5364-5377.
Authors:  Wang, Liang;  Zhang, Xue Di;  Tang, Jia Wei;  Ma, Zhang Wen;  Usman, Muhammad; et al.
Favorite | TC[WOS]:26 TC[Scopus]:29  IF:4.4/5.0 | Submit date：2023/01/30
Antibiotic Resistance  Deep Learning  Infectious Disease  Machine Learning  Mycobacterium Tuberculosis  Raman Spectrometer  
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements Journal article
Zhou, Kai, Sun, Yaoting, Li, Lu, Zang, Zelin, Wang, Jing, Li, Jun, Liang, Junbo, Zhang, Fangfei, Zhang, Qiushi, Ge, Weigang, Chen, Hao, Sun, Xindong, Yue, Liang, Wu, Xiaomai, Shen, Bo, Xu, Jiaqin, Zhu, Hongguo, Chen, Shiyong, Yang, Hai, Huang, Shigao, Peng, Minfei, Lv, Dongqing, Zhang, Chao, Zhao, Haihong, Hong, Luxiao, Zhou, Zhehan, Chen, Haixiao, Dong, Xuejun, Tu, Chunyu, Li, Minghui, Zhu, Yi, Chen, Baofu, Li, Stan Z., Guo, Tiannan. Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements[J]. Computational and Structural Biotechnology Journal, 2021, 19, 3640-3649.
Authors:  Zhou, Kai;  Sun, Yaoting;  Li, Lu;  Zang, Zelin;  Wang, Jing; et al.
Favorite | TC[WOS]:26 TC[Scopus]:29  IF:4.4/5.0 | Submit date：2021/12/07
Covid-19  Sars-cov-2  Severity Prediction  Machine Learning  Routine Clinical Test  Longitudinal Dynamics  
Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer Journal article
Jiang, Hao, Tang, Shiming, Liu, Weihuang, Zhang, Yang. Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer[J]. Computational and Structural Biotechnology Journal, 2021, 19, 1391-1399.
Authors:  Jiang, Hao;  Tang, Shiming;  Liu, Weihuang;  Zhang, Yang
Favorite | TC[WOS]:18 TC[Scopus]:27  IF:4.4/5.0 | Submit date：2021/12/07
Chest Ct Image  Classification  Covid-19  Cyclegan  Image Synthesis  Lung Cancer  Style Transfer