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In this Review, Kotani and Nakatogawa discuss recent advances in our understanding of the molecular basis of autophagy induction and delineate how diverse mechanisms converge on core principles to ensure context-specific control of autophagy initiation.
Pindi and Palermo review the contributions of deep learning structure prediction algorithms, physics-based simulations, neural networks, graph neural networks and generative models in engineering CRISPR systems and in understanding their mechanistic basis.
