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Computational and Structural Biotechnology Journal|December 25, 2019
Rac activation is key to cell motility and directionality: An experimental and modelling investigationJessica K Lyda, Zhang L Tan, Abira Rajah, et al.
Computational and Structural Biotechnology Journal|January 24, 2020
A protocol to automatically calculate homo-oligomeric protein structures through the integration of evolutionary constraints and NMR ambiguous contactsDavide Sala, Linda Cerofolini, Marco Fragai, et al.
Computational and Structural Biotechnology Journal|January 24, 2020
Inhibition of protein FAK enhances 5-FU chemosensitivity to gastric carcinoma via p53 signaling pathwaysJingjing Hou, Yuyu Tan, Chen Su, et al.
Computational and Structural Biotechnology Journal|October 17, 2022
Recognition of driver genes with potential prognostic implications in lung adenocarcinoma based on H3K79me2Lu-Qiang Zhang, Hao Yang, Jun-Jie Liu, et al.
Computational and Structural Biotechnology Journal|June 13, 2025
Signaling in Acinetobacter baumannii: Quorum sensing and nucleotide second messengersBinbin Cui, Ganjin Peng, Liu-En Wang, et al.
Computational and Structural Biotechnology Journal|June 12, 2025
Leveraging large language models for accurate classification of liver lesions from MRI reportsDaniel Spitzl, Markus Mergen, Ulrike Bauer, et al.
Computational and Structural Biotechnology Journal|June 12, 2025
DiabetesOmic: A comprehensive multi-omics diabetes databaseFu-Hong Cai, Feng-Cui Qian, Bing-Long Li, et al.
Computational and Structural Biotechnology Journal|June 12, 2025
Prediction of CRISPR-Cas9 on-target activity based on a hybrid neural networkChuxuan Li, Quan Zou, Jian Li, et al.
Computational and Structural Biotechnology Journal|June 11, 2025
Deciphering mitochondrial dysfunction in keratoconus: Insights into ACSL4 from machine learning-based bulk and single-cell transcriptome analyses and experimental validationYuchen Cai, Tianyi Zhou, Xueyao Cai, et al.
Computational and Structural Biotechnology Journal|June 9, 2025
Automatic detection of fungiform papillae on the human tongue via Convolutional Neural Networks and identification of the best performing modelLala Chaimae Naciri, Raffaella Fiamma Cabini, Melania Melis, et al.
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