Current Opinion in Structural Biology

Papers
(The median citation count of Current Opinion in Structural Biology is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
How molecular modelling can better broaden the understanding of glycosylations215
Mutational fitness landscape and drug resistance196
Editorial147
In silico reconstitution of DNA replication. Lessons from single-molecule imaging and cryo-tomography applied to single-particle cryo-EM145
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels131
Catalysis and structure of nitrogenases118
Optogenetic enzymes: A deep dive into design and impact106
Access and utilization of long chain fatty acyl-CoA by zDHHC protein acyltransferases106
HIV-1 gp160 in nanodiscs: Unravelling structures and guiding vaccine design105
Computer-aided drug design, quantum-mechanical methods for biological problems89
Raman spectroscopy and imaging of protein droplet formation and aggregation87
Single-particle Cryo-EM and molecular dynamics simulations: A perfect match87
Single-point mutations in disordered proteins: Linking sequence, ensemble, and function86
May the proton motive force be with you: A plant transporter review85
Advancing biomolecular simulation through exascale HPC, AI and quantum computing82
Navigating protein–nucleic acid sequence-structure landscapes with deep learning82
Genome modeling: From chromatin fibers to genes80
Harnessing the 14-3-3 protein–protein interaction network79
Structure-based virtual screening of vast chemical space as a starting point for drug discovery79
Editorial Board78
Markov field models: Scaling molecular kinetics approaches to large molecular machines77
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles73
Advancing protein structure prediction beyond AlphaFold270
Mucin networks: Dynamic structural assemblies controlling mucus function68
Structure-based analyses of gut microbiome-related proteins by neural networks and molecular dynamics simulations64
Gut power: Modulation of human amyloid formation by amyloidogenic proteins in the gastrointestinal tract64
Editorial overview: Biophysical methods: Exploring structures in motions, from biomolecules to cells, and how to drug them62
Structural insights into host–microbe glycointeractions62
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods62
Conformational penalties: New insights into nucleic acid recognition59
Modeling membranes in situ57
NMR tools to detect protein allostery57
Implications of disease-related mutations at protein–protein interfaces56
Advances in native cell membrane nanoparticles system54
Molecular dynamics simulations for the study of chromatin biology52
Old and new tactics of CRISPR-centric competition between bacteria and bacteriophages52
Dynamics and interactions of intrinsically disordered proteins50
The mannose receptor ligands and the macrophage glycome49
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction48
Protein dynamics underlying allosteric regulation48
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors48
The role of RNA structure in 3’ end processing in eukaryotes47
Table of contents46
Interpretable artificial intelligence and exascale molecular dynamics simulations to reveal kinetics: Applications to Alzheimer's disease46
Structural insights into assembly of transcription preinitiation complex45
Challenges and compromises: Predicting unbound antibody structures with deep learning45
Macromolecular assemblies: Molecular mechanisms abound45
Table of contents45
Artificial intelligence in therapeutic antibody design: Advances and future prospects44
Insight into the structural dynamics of light sensitive proteins from time-resolved crystallography and quantum chemical calculations44
Editorial overview: Molecular determinants, mechanisms, and state-of-the-art approaches in allostery43
Probing protein–DNA interactions and compaction in nanochannels43
Viral amyloids: New opportunities for antiviral therapeutic strategies43
DDK promotes DNA replication initiation: Mechanistic and structural insights42
NMR of RNA - Structure and interactions42
Biomolecular simulations at the exascale: From drug design to organelles and beyond42
Photo-crosslinkers boost structural information from crosslinking mass spectrometry42
Dynamic interactions drive early spliceosome assembly42
CryoEM of V-ATPases: Assembly, disassembly, and inhibition42
Microsecond time-resolved cryo-electron microscopy42
Nuclear periphery and its mechanical regulation in cell fate transitions41
Influence of membrane on the antigen presentation of the HIV-1 envelope membrane proximal external region (MPER)41
Table of contents41
Structural biology in the age of X-ray free-electron lasers and exascale computing40
Machine learning approaches in predicting allosteric sites40
Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials40
Solid-state NMR of membrane proteins in situ40
Entropy, enthalpy, and evolution: Adaptive trade-offs in protein binding thermodynamics39
Cryo-EM diversifies38
Integrative modeling meets deep learning: Recent advances in modeling protein assemblies38
Structural host immune-microbiota interactions38
Insights in bacterial genome folding38
Template matching and machine learning for cryo-electron tomography37
Interplay of thermodynamics and evolution within the ternary ligand-GPCR-G protein complex37
Navigating the complexities of multi-domain protein folding36
Reading the glyco-code: New approaches to studying protein–carbohydrate interactions36
Are N-linked glycans intrinsically disordered?36
Protein diversification through post-translational modifications, alternative splicing, and gene duplication35
In-cell chromatin structure by Cryo-FIB and Cryo-ET35
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data35
Integrating cellular and molecular structures and dynamics into whole-cell models35
The CMG DNA helicase and the core replisome35
RETRACTED: Liquid-EM goes viral – visualizing structure and dynamics35
Frustration, dynamics, and catalysis35
Modeling biomolecular kinetics with large-scale simulation34
Structure-based approaches in synthetic lethality strategies34
Computational design of novel protein–protein interactions – An overview on methodological approaches and applications32
Cryo-EM: A window into the dynamic world of RNA molecules32
Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches32
Advances in Protein-RNA aptamer recognition and modeling: Current trends and future perspectives32
Editorial Board32
Nexus between RNA conformational dynamics and functional versatility32
Nucleosomes unwrapped: Structural perspectives on transcription through chromatin32
Teaching AI to speak protein32
Measuring change in glycoprotein structure32
Editorial overview: Protein-nucleic acid interactions: From origins to design32
Mass spectrometry-based shotgun glycomics for discovery of natural ligands of glycan-binding proteins32
Structural basis of mRNA maturation: Time to put it together31
Editorial overview: 3D Genome Chromatin organization and regulation31
Greater than the sum of parts: Mechanisms of metabolic regulation by enzyme filaments31
Table of contents31
ACE2, B0AT1, and SARS-CoV-2 spike protein: Structural and functional implications31
Editorial Board30
Editorial overview - New Concepts in Drug Discovery (2025)30
Automated pipelines for rapid evaluation during cryoEM data acquisition30
Multiscale simulations of large complexes in conjunction with cryo-EM analysis30
Large-scale protein clustering in the age of deep learning30
The conformationally dynamic structural biology of lanthipeptide biosynthesis30
Unlocking the secrets of cell boundaries: Exploring assemblies, machineries, and supercomplexes in membranes30
Histone deacetylase 10: A polyamine deacetylase from the crystal structure to the first inhibitors30
Sculpting therapeutic monoclonal antibody N-glycans using endoglycosidases29
The influence of lipids and biological membranes on the conformational equilibria of GPCRs: Insights from NMR spectroscopy29
Protein structure prediction in the deep learning era29
Absolute quantification of protein number and dynamics in single cells29
The material properties of mitotic chromosomes29
Application of AI in biological age prediction29
Adaptive machine learning for protein engineering29
Prediction of nucleic acid binding residues in protein sequences: Recent advances and future prospects29
Multiscale biomolecular simulations in the exascale era28
Application of message passing neural networks for molecular property prediction28
Commonly asked questions about transcriptional activation domains28
Deep learning methods for 3D structural proteome and interactome modeling28
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies28
The role of intrinsic protein disorder in regulation of cyclin-dependent kinases27
How much can physics do for protein design?27
Molecular insights into the catalysis and regulation of mammalian NAD-dependent isocitrate dehydrogenases27
Advances and applications of microcrystal electron diffraction (MicroED)27
Organization of transcription and 3D genome as revealed by live-cell imaging27
Apprehensions and emerging solutions in ML-based protein structure prediction27
Editorial overview: Folding and Binding (2024)27
PARP–nucleic acid interactions: Allosteric signaling, PARP inhibitor types, DNA bridges, and viral RNA surveillance27
Super-resolving chromatin in its own terms: Recent approaches to portray genomic organization26
Recent advances and current trends in cryo-electron microscopy26
Recent progress in membrane protein dynamics revealed by X-ray free electron lasers: Molecular movies of microbial rhodopsins26
Recent advances in AI-driven protein-ligand interaction predictions26
Generative artificial intelligence for de novo protein design26
Context-dependent, fuzzy protein interactions: Towards sequence-based insights26
Modeling flexible RNA 3D structures and RNA-protein complexes26
Exascale simulations and beyond26
β-barrel membrane proteins fold via hybrid-barrel intermediate states25
All-atom virus simulations to tackle airborne disease25
A practical look at cryo-electron tomography image processing: Key considerations for new biological discoveries25
Cryo-EM insights into tail-anchored membrane protein biogenesis in eukaryotes25
The evolution and mechanism of bacterial and archaeal ESCRT-III-like systems25
Mechanical forces and the 3D genome24
Editorial overview: ‘The amazing power of physics to provide chemical insight into catalysis and regulation’ … something better …24
Solution NMR goes big: Atomic resolution studies of protein components of molecular machines and phase-separated condensates24
Innovations in targeting RNA by fragment-based ligand discovery24
Cryo-EM of the injectisome and type III secretion systems24
Frontiers in metalloprotein crystallography and cryogenic electron microscopy24
View from the PEAKs: Insights from structural studies on the PEAK family of pseudokinases24
Graphene in cryo-EM specimen optimization24
Recent developments in multiscale free energy simulations24
Structures, dynamics, complexes, and functions: From classic computation to artificial intelligence23
Databases and web-based tools for studying structures of protein-nucleic acid complexes23
Segmenting cryo-electron tomography data: Extracting models from cellular landscapes23
Future prospects for human genetics and genomics in drug discovery23
Industrializing AI/ML during the end-to-end drug discovery process23
Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy23
Minimal models for RNA simulations23
AlphaFold2 protein structure prediction: Implications for drug discovery23
Combining on-line spectroscopy with synchrotron and X-ray free electron laser crystallography23
AI for targeted polypharmacology: The next frontier in drug discovery22
Visualizing RNA structure ensembles by single-molecule correlated chemical probing22
Making the cut: Multiscale simulation of membrane remodeling22
Table of contents22
Single-molecule fluorescence imaging of DNA maintenance protein binding dynamics and activities on extended DNA22
Structural enzymology of cholesterol biosynthesis and storage22
Engineering the T cell receptor for fun and profit: Uncovering complex biology, interrogating the immune system, and targeting disease21
Helical reconstruction, again21
Protein dynamics by the combination of high-speed AFM and computational modeling21
Editorial Board21
Table of contents21
Emerging structure-based computational methods to screen the exploding accessible chemical space21
Global dynamics behind enzyme catalysis, evolution, and design21
Repair and tolerance of DNA damage at the replication fork: A structural perspective21
Membrane protein reconstitution : New possibilities for structural biology, biophysical methods, and antibody/drug discovery21
Conformational inhibitors of protein aggregation21
Understanding glycoprotein structural heterogeneity and interactions: Insights from native mass spectrometry21
A structural perspective on enzymes and their catalytic mechanisms21
Distinguishing between concerted, sequential and barrierless conformational changes: Folding versus allostery21
Editorial Board20
Dynamic Protein-RNA recognition in primary MicroRNA processing20
Gas-phase infrared spectroscopy of glycans and glycoconjugates20
Editorial overview–Artificial intelligence methodologies in structural biology: Bridging the gap to medical applications20
Updated understanding of the protein–DNA recognition code used by C2H2 zinc finger proteins20
Diversity of structure and function in Cullin E3 ligases20
Table of contents20
How residence time works in allosteric drugs20
Mechanism of primer synthesis by Primase-Polymerases20
Capturing protein dynamics across timescales with site-directed spin labeling electron paramagnetic resonance spectroscopy19
Allo-targeting of the kinase domain: Insights from in silico studies and comparison with experiments19
Chromatin higher-order folding as influenced by preferred values of linker DNA19
Toward better drug discovery with knowledge graph19
Protein motions visualized by femtosecond time-resolved crystallography: The case of photosensory vs photosynthetic proteins19
Telomeric chromatin structure19
Mapping the binding sites of challenging drug targets19
Chromosome and protein folding: In search for unified principles19
Structural studies of the spliceosome: Bridging the gaps18
Innovations in cryo-electron tomography for tissues: Challenges and future prospects18
Table of contents18
Salipro technology in membrane protein research18
Time resolved applications for Cryo-EM; approaches, challenges and future directions18
Cool and collected: Advances in sample preparation for cryo-electron microscopy18
The impact of the sequence-dependent physical properties of DNA on chromatin dynamics18
Molecular simulations integrated with experiments for probing the interaction dynamics and binding mechanisms of intrinsically disordered proteins18
Editorial overview: New concept in drug discovery18
Multiscale models of integrins and cellular adhesions18
Computing allostery: from the understanding of biomolecular regulation and the discovery of cryptic sites to molecular design18
Structural overview of DNA and RNA G-quadruplexes in their interaction with proteins17
Structure and function of histone chaperones in replication-coupled chromatin assembly17
Molecular dynamics simulations to understand glycosaminoglycan interactions in the free- and protein-bound states17
Recent breakthroughs in computational structural biology harnessing the power of sequences and structures17
Artificial intelligence for compound pharmacokinetics prediction17
Artificial intelligence in molecular de novo design: Integration with experiment17
Diverse modes of regulating methyltransferase activity by histone ubiquitination17
Modern machine learning methods for protein property prediction17
Allosteric communication and signal transduction in proteins16
Progress at protein structure prediction, as seen in CASP1516
Protein ligand structure prediction: From empirical to deep learning approaches16
In silico toxicity studies of traditional Chinese herbal medicine: A mini review16
Structure and mechanism of immunoreceptors: New horizons in T cell and B cell receptor biology and beyond16
Making the leap from structure to mechanism: are the open states of mammalian complex I identified by cryoEM resting states or catalytic intermediates?16
Modern approaches to improving phase contrast electron microscopy16
Exploring protein conformations in vitro and in cell with EPR distance measurements16
Protein-nucleic acid complexes: Docking and binding affinity16
New classes of E3 ligases illuminated by chemical probes15
Editorial Board15
Editorial overview15
Recent advances in DNA-encoded libraries: From covalent targeting to protein profiling15
Structural dynamics in α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor gating15
Allostery, engineering and inhibition of tryptophan synthase15
Artificial intelligence methods for protein folding and design15
Table of contents15
From snapshots to ensembles: Integrating experimental data and dynamics15
Fake it until you make it? Generative de novo design and virtual screening of synthesizable molecules15
Probing structural dynamics and interactions in macromolecular complexes with single-molecule force spectroscopy14
Structural highlights of macromolecular complexes and assemblies14
Biological insights from integrative modeling of intrinsically disordered protein systems14
Open data and algorithms for open science in AI-driven molecular informatics14
Structural biology of SARS-CoV-2 Mpro and drug discovery14
Quantitative analysis methods for free diffusion single-molecule FRET experiments14
Generative AI techniques for conformational diversity and evolutionary adaptation of proteins14
Unifying coarse-grained force fields for folded and disordered proteins14
Recent advances and future trends for protein–small molecule interaction predictions with protein language models14
Uncovering post-translational modification-associated protein–protein interactions14
3D genome organization and beyond!14
Characterizing heterogeneity in amyloid formation processes14
Cryo-focused ion beam milling for cryo-electron tomography: Shaping the future of in situ structural biology14
Molecular models of bidirectional promoter regulation14
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