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Computational and Structural Biotechnology Journal|January 14, 2025
Robust multi-read reconstruction from noisy clusters using deep neural network for DNA storageYun Qin, Fei Zhu, Bo Xi, et al.
Computational and Structural Biotechnology Journal|January 6, 2025
Identification of cellular signatures associated with chinese hamster ovary cell adaptation for secretion of antibodiesYing Bai, Ivan Domenech Mercadé, Ramy Elgendy, et al.
Computational and Structural Biotechnology Journal|February 3, 2025
Machine learning methods for histopathological image analysis: Updates in 2024Daisuke Komura, Mieko Ochi, Shumpei Ishikawa
Computational and Structural Biotechnology Journal|February 7, 2025
Physical-aware model accuracy estimation for protein complex using deep learning methodHaodong Wang, Meng Sun, Lei Xie, et al.
Computational and Structural Biotechnology Journal|February 6, 2025
AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic β-solenoid structures for repeat proteinsOlivia S Pratt, Luc G Elliott, Margaux Haon, et al.
Computational and Structural Biotechnology Journal|February 7, 2025
Structural characteristics, functions, and counteracting strategies of biofilms in Staphylococcus aureusYanze Xia, Zhenghui Hu, Qiyuan Jin, et al.
Computational and Structural Biotechnology Journal|December 11, 2024
Exploring key features of selectivity in somatostatin receptors through molecular dynamics simulationsC Guccione, S Gervasoni, I Öztürk, et al.
Computational and Structural Biotechnology Journal|December 11, 2024
YabXnization platform: A monoclonal antibody heterologization server based on rational design and artificial intelligence-assisted computationXiaohu Hao, Dongping Liu, Long Fan
Computational and Structural Biotechnology Journal|December 11, 2024
Magnetic control of soft microrobots near step-out frequency: Characterization and analysisZihan Wang, Wenjian Li, Anke Klingner, et al.
Computational and Structural Biotechnology Journal|December 10, 2024
Automatic classification of fungal-fungal interactions using deep leaning modelsMarjan Mansourvar, Jonathan Funk, Søren Dalsgård Petersen, et al.
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