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AI-based methods for biomolecular structure modeling for Cryo-EM
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Advancing protein structure prediction beyond AlphaFold2
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Challenges and compromises: Predicting unbound antibody structures with deep learning
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Deep learning methods for proteome-scale interaction prediction
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Different applications and differentiated libraries for crystallographic fragment screening
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Molecular basis of conjugation-mediated DNA transfer by gram-negative bacteria
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Assembly and functional mechanisms of plant NLR resistosomes
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Protein binding and folding through an evolutionary lens
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Computational advances in discovering cryptic pockets for drug discovery
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Toward a comprehensive profiling of alternative splicing proteoform structures, interactions and functions
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Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction
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On the emergence of machine-learning methods in bottom-up coarse-graining
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Advances in structure-based allosteric drug design
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