SCI Abstract

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Regulation of receptor tyrosine kinase hetero-interactions
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Allosteric modulation of Class B1 G protein-coupled receptor activation and signaling location in the cell
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Editorial overview: Macromolecular assemblies: Technology innovations driving biological understanding
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Erratum to “Structural insights into the recognition of native nucleosomes by pioneer transcription factors” [Current Opinion in structural Biology 92 (June 2025) 1–1, article number: 103,024]
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Chromatin as a three-dimensional memory machine
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Editorial overview: Artificial intelligence methodologies in structural biology
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Membrane protein reconstitution : New possibilities for structural biology, biophysical methods, and antibody/drug discovery
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Dynamic characteristics of proteolysis-targeting chimera systems revealed by in silico computations
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Computational modeling of protein–ligand interactions: From binding site identification to pose prediction and beyond
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Resistance mutations, drug binding and drug residence times
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Recent advances in DNA-encoded libraries: From covalent targeting to protein profiling
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Allosteric solution to the problems of undruggable targets, drug toxicity, and emerging resistance
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Chromatin higher-order folding as influenced by preferred values of linker DNA
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Navigating protein–nucleic acid sequence-structure landscapes with deep learning
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Understanding how structure shapes the architecture of homologous recombination
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Dictionary based approaches for studying intrinsic DNA shape in transcription factor recognition
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Drug targeting of protein-nucleic acid interactions
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TF paralogs—Natural experiments in DNA binding
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Editorial overview: Protein-nucleic acid interactions: From origins to design
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Strategies for studying discrete heterogeneity in situ using cryo-electron tomography
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Prediction of structural variation
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Protein language models for predicting drug–target interactions: Novel approaches, emerging methods, and future directions
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Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence–based methods
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From part to whole: AI-driven progress in fragment-based drug discovery
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Deep learning for RNA structure prediction
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Chromatin domains in the cell: Phase separation and condensation
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Editorial overview: Catalysis and regulation (2024): Conformational dynamics of RNA and kinase signaling
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A structural perspective on enzymes and their catalytic mechanisms
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Deciphering driving forces of biomolecular phase separation from simulations
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Recent advances in AI-driven protein-ligand interaction predictions
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