The Role of AI-Driven De Novo Protein Design in the Exploration of the Protein Functional Universe. [PDF]
Zhang G, Liu C, Lu J, Zhang S, Zhu L.
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Merging traditional practices and modern technology through computational plant breeding. [PDF]
Yoosefzadeh-Najafabadi M.
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The current landscape and emerging challenges of benchmarking single-cell methods. [PDF]
Cao Y+8 more
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cONcat: Computational reconstruction of concatenated fragments from long Oxford Nanopore reads. [PDF]
Petri AJ+4 more
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A computational framework for the investigation of phosphoinositide regulation. [PDF]
Cheung HYF+8 more
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To Evaluate Interdisciplinary Integration in Medical Education Through a Pulmonary Fibrosis Case Study. [PDF]
Zhai X, Nie Y.
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When artificial intelligence meets protein research. [PDF]
Longhi S+10 more
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Accurate in silico predictions of modified RNA interactions to a prototypical RNA-binding protein with λ-dynamics. [PDF]
Angelo M+7 more
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SuperEdgeGO: Edge-supervised graph representation learning for enhanced protein function prediction. [PDF]
Zhang S+8 more
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