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Computational and Structural Biotechnology Journal|November 8, 2021
A spatial multi-scale fluorescence microscopy toolbox discloses entry checkpoints of SARS-CoV-2 variants in Vero E6 cellsBarbara Storti, Paola Quaranta, Cristina Di Primio, et al.Computational and Structural Biotechnology Journal|November 12, 2021
Computational modeling of RNase, antisense ORF0 RNA, and intracellular compartmentation and their impact on the life cycle of the line retrotransposonMichael David Martin, David N Brown, Kenneth S RamosComputational and Structural Biotechnology Journal|November 12, 2021
Deep-learning in situ classification of HIV-1 virion morphologyJuan S Rey, Wen Li, Alexander J Bryer, et al.Computational and Structural Biotechnology Journal|July 21, 2022
Mini-review: Recent advances in post-translational modification site prediction based on deep learningLingkuan Meng, Wai-Sum Chan, Lei Huang, et al.Computational and Structural Biotechnology Journal|July 21, 2022
Network and epigenetic characterization of subsets of genes specifically expressed in maize bundle sheath cellsShentong Tao, Wenli ZhangComputational and Structural Biotechnology Journal|July 21, 2022
Pan-cancer analyses of synonymous mutations based on tissue-specific codon optimalityXia Ran, Jinyuan Xiao, Fang Cheng, et al.Computational and Structural Biotechnology Journal|July 21, 2022
Single-cell entropy network detects the activity of immune cells based on ribosomal protein genesQiqi Jin, Chunman Zuo, Haoyue Cui, et al.Computational and Structural Biotechnology Journal|July 21, 2022
Model-based prediction of optogenetic sound encoding in the human cochlea by future optical cochlear implantsLakshay Khurana, Daniel Keppeler, Lukasz Jablonski, et al.Computational and Structural Biotechnology Journal|April 18, 2022
Discovery of a new generation of angiotensin receptor blocking drugs: Receptor mechanisms and in silico binding to enzymes relevant to SARS-CoV-2Harry Ridgway, Graham J Moore, Thomas Mavromoustakos, et al.Computational and Structural Biotechnology Journal|September 30, 2021
Machine learning and deep learning methods that use omics data for metastasis predictionSomayah Albaradei, Maha Thafar, Asim Alsaedi, et al.Pageof 381