Current Opinion in Structural Biology

Papers
(The TQCC of Current Opinion in Structural Biology is 19. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Single-particle Cryo-EM and molecular dynamics simulations: A perfect match168
Single-point mutations in disordered proteins: Linking sequence, ensemble, and function144
In silico reconstitution of DNA replication. Lessons from single-molecule imaging and cryo-tomography applied to single-particle cryo-EM123
How molecular modelling can better broaden the understanding of glycosylations119
Editorial118
Mutational fitness landscape and drug resistance118
Raman spectroscopy and imaging of protein droplet formation and aggregation104
Harnessing the 14-3-3 protein–protein interaction network103
Advancing biomolecular simulation through exascale HPC, AI and quantum computing102
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels91
Catalysis and structure of nitrogenases87
Access and utilization of long chain fatty acyl-CoA by zDHHC protein acyltransferases82
Genome modeling: From chromatin fibers to genes78
May the proton motive force be with you: A plant transporter review78
Structure-based virtual screening of vast chemical space as a starting point for drug discovery75
Computer-aided drug design, quantum-mechanical methods for biological problems73
Editorial overview: Biophysical methods: Exploring structures in motions, from biomolecules to cells, and how to drug them73
NMR tools to detect protein allostery70
Quantitative characterization of O-GalNAc glycosylation69
Conformational penalties: New insights into nucleic acid recognition67
Advancing protein structure prediction beyond AlphaFold266
Editorial Board65
Inner workings of RAG recombinase and its specialization for adaptive immunity64
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods64
Gut power: Modulation of human amyloid formation by amyloidogenic proteins in the gastrointestinal tract64
Structural insights into host–microbe glycointeractions62
Markov field models: Scaling molecular kinetics approaches to large molecular machines62
Mucin networks: Dynamic structural assemblies controlling mucus function62
Molecular dynamics simulations for the study of chromatin biology61
Structure-based analyses of gut microbiome-related proteins by neural networks and molecular dynamics simulations58
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles56
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction54
Modeling membranes in situ54
Implications of disease-related mutations at protein–protein interfaces54
Protein dynamics underlying allosteric regulation53
Dynamics and interactions of intrinsically disordered proteins53
The mannose receptor ligands and the macrophage glycome52
Interpretable artificial intelligence and exascale molecular dynamics simulations to reveal kinetics: Applications to Alzheimer's disease50
Principles of nucleosome recognition by chromatin factors and enzymes50
Challenges and compromises: Predicting unbound antibody structures with deep learning49
NMR of RNA - Structure and interactions48
Structural insights into assembly of transcription preinitiation complex48
Viral amyloids: New opportunities for antiviral therapeutic strategies48
Probing protein–DNA interactions and compaction in nanochannels47
Table of contents47
Editorial Board46
Table of contents46
Insight into the structural dynamics of light sensitive proteins from time-resolved crystallography and quantum chemical calculations45
Macromolecular assemblies: Molecular mechanisms abound44
Biomolecular simulations at the exascale: From drug design to organelles and beyond43
The role of RNA structure in 3’ end processing in eukaryotes43
Microsecond time-resolved cryo-electron microscopy42
CryoEM of V-ATPases: Assembly, disassembly, and inhibition42
DDK promotes DNA replication initiation: Mechanistic and structural insights42
Computational approaches to predict protein functional families and functional sites42
Editorial overview: Molecular determinants, mechanisms, and state-of-the-art approaches in allostery41
Dynamic interactions drive early spliceosome assembly41
Structural host immune-microbiota interactions40
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors40
Integrative modeling meets deep learning: Recent advances in modeling protein assemblies38
Cryo-EM diversifies38
Interplay of thermodynamics and evolution within the ternary ligand-GPCR-G protein complex38
Table of contents38
Structural biology in the age of X-ray free-electron lasers and exascale computing37
Nuclear periphery and its mechanical regulation in cell fate transitions37
Insights in bacterial genome folding37
Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials37
Engineering Cas9 for human genome editing37
Protein diversification through post-translational modifications, alternative splicing, and gene duplication36
The CMG DNA helicase and the core replisome36
Machine learning approaches in predicting allosteric sites36
Navigating the complexities of multi-domain protein folding36
Reading the glyco-code: New approaches to studying protein–carbohydrate interactions35
Integrating cellular and molecular structures and dynamics into whole-cell models35
Editorial Board34
Influence of membrane on the antigen presentation of the HIV-1 envelope membrane proximal external region (MPER)34
RETRACTED: Liquid-EM goes viral – visualizing structure and dynamics34
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data34
Modeling biomolecular kinetics with large-scale simulation34
Nexus between RNA conformational dynamics and functional versatility33
CRISPR/Cas9-based directed evolution in mammalian cells32
Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches32
New insights into Raf regulation from structural analyses32
Cryo-EM: A window into the dynamic world of RNA molecules31
Structural basis of mRNA maturation: Time to put it together31
Structure-based approaches in synthetic lethality strategies31
Mass spectrometry informs the structure and dynamics of membrane proteins involved in lipid and drug transport31
Measuring change in glycoprotein structure31
ACE2, B0AT1, and SARS-CoV-2 spike protein: Structural and functional implications30
In-cell chromatin structure by Cryo-FIB and Cryo-ET30
Computational design of novel protein–protein interactions – An overview on methodological approaches and applications30
Nucleosomes unwrapped: Structural perspectives on transcription through chromatin30
Mass spectrometry-based shotgun glycomics for discovery of natural ligands of glycan-binding proteins29
Greater than the sum of parts: Mechanisms of metabolic regulation by enzyme filaments29
Teaching AI to speak protein28
Post-translational modification of RAS proteins28
Glycoproteomics: growing up fast28
Editorial Board27
Toward the equilibrium and kinetics of amyloid peptide self-assembly27
Table of contents27
Molecular insights into the catalysis and regulation of mammalian NAD-dependent isocitrate dehydrogenases27
The estrogen receptor/GATA3/FOXA1 transcriptional network: lessons learned from breast cancer27
Editorial overview: 3D Genome Chromatin organization and regulation27
Multiscale simulations of large complexes in conjunction with cryo-EM analysis27
Automated pipelines for rapid evaluation during cryoEM data acquisition26
Absolute quantification of protein number and dynamics in single cells26
Techniques for studying membrane pores26
Membrane proteins enter the fold26
Interplay among transacting factors around promoter in the initial phases of transcription26
Unlocking the secrets of cell boundaries: Exploring assemblies, machineries, and supercomplexes in membranes26
Sculpting therapeutic monoclonal antibody N-glycans using endoglycosidases25
Adaptive machine learning for protein engineering25
The conformationally dynamic structural biology of lanthipeptide biosynthesis25
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies25
Histone deacetylase 10: A polyamine deacetylase from the crystal structure to the first inhibitors25
Application of AI in biological age prediction25
Protein structure prediction in the deep learning era25
Deep learning methods for 3D structural proteome and interactome modeling25
Super-resolving chromatin in its own terms: Recent approaches to portray genomic organization24
Application of message passing neural networks for molecular property prediction24
Commonly asked questions about transcriptional activation domains24
Recent advances in AI-driven protein-ligand interaction predictions24
Multiscale biomolecular simulations in the exascale era24
Monitoring and modulating O-GlcNAcylation: assays and inhibitors of O-GlcNAc processing enzymes24
Editorial overview: Folding and Binding (2024)24
The material properties of mitotic chromosomes24
How much can physics do for protein design?23
PARP–nucleic acid interactions: Allosteric signaling, PARP inhibitor types, DNA bridges, and viral RNA surveillance23
Apprehensions and emerging solutions in ML-based protein structure prediction23
Deep learning techniques have significantly impacted protein structure prediction and protein design23
Structural basis for DNA sequence recognition by pioneer factors in nucleosomes23
Advances and applications of microcrystal electron diffraction (MicroED)23
Generative artificial intelligence for de novo protein design23
Recent advances and current trends in cryo-electron microscopy23
Editorial overview: Catalysis and regulation: The beating heart of biology23
Recent progress in membrane protein dynamics revealed by X-ray free electron lasers: Molecular movies of microbial rhodopsins23
Organization of transcription and 3D genome as revealed by live-cell imaging23
Context-dependent, fuzzy protein interactions: Towards sequence-based insights23
Functional and pathological amyloid structures in the eyes of 2020 cryo-EM23
Frontiers in metalloprotein crystallography and cryogenic electron microscopy22
Graphene in cryo-EM specimen optimization22
Structures, dynamics, complexes, and functions: From classic computation to artificial intelligence22
All-atom virus simulations to tackle airborne disease22
Cryo-EM of the injectisome and type III secretion systems22
The role of intrinsic protein disorder in regulation of cyclin-dependent kinases22
Mechanical forces and the 3D genome22
View from the PEAKs: Insights from structural studies on the PEAK family of pseudokinases22
Solution NMR goes big: Atomic resolution studies of protein components of molecular machines and phase-separated condensates22
Cryo-EM insights into tail-anchored membrane protein biogenesis in eukaryotes22
Future prospects for human genetics and genomics in drug discovery22
Editorial overview: ‘The amazing power of physics to provide chemical insight into catalysis and regulation’ … something better …22
Exascale simulations and beyond22
Combining on-line spectroscopy with synchrotron and X-ray free electron laser crystallography22
Recent developments in multiscale free energy simulations22
β-barrel membrane proteins fold via hybrid-barrel intermediate states22
Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy21
Table of contents21
Neutron crystallography for the elucidation of enzyme catalysis21
Industrializing AI/ML during the end-to-end drug discovery process21
Innovations in targeting RNA by fragment-based ligand discovery21
Visualizing RNA structure ensembles by single-molecule correlated chemical probing21
Table of contents21
AlphaFold2 protein structure prediction: Implications for drug discovery21
Conformational inhibitors of protein aggregation21
Outer membrane protein evolution21
Engineering the T cell receptor for fun and profit: Uncovering complex biology, interrogating the immune system, and targeting disease20
Repair and tolerance of DNA damage at the replication fork: A structural perspective20
Protein dynamics by the combination of high-speed AFM and computational modeling20
A structural perspective on enzymes and their catalytic mechanisms20
Emerging structure-based computational methods to screen the exploding accessible chemical space20
Distinguishing between concerted, sequential and barrierless conformational changes: Folding versus allostery20
Making the cut: Multiscale simulation of membrane remodeling20
Helical reconstruction, again20
Table of contents20
Single-molecule fluorescence imaging of DNA maintenance protein binding dynamics and activities on extended DNA20
Understanding glycoprotein structural heterogeneity and interactions: Insights from native mass spectrometry20
AI for targeted polypharmacology: The next frontier in drug discovery20
Structural enzymology of cholesterol biosynthesis and storage20
Diversity of structure and function in Cullin E3 ligases19
Allo-targeting of the kinase domain: Insights from in silico studies and comparison with experiments19
Editorial Board19
Editorial overview–Artificial intelligence methodologies in structural biology: Bridging the gap to medical applications19
Protein motions visualized by femtosecond time-resolved crystallography: The case of photosensory vs photosynthetic proteins19
Unraveling linker histone interactions in nucleosomes19
Mapping the binding sites of challenging drug targets19
Mechanism of primer synthesis by Primase-Polymerases19
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