Current Opinion in Structural Biology

Papers
(The TQCC of Current Opinion in Structural Biology is 20. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
How molecular modelling can better broaden the understanding of glycosylations256
HIV-1 gp160 in nanodiscs: Unravelling structures and guiding vaccine design179
Editorial147
Access and utilization of long chain fatty acyl-CoA by zDHHC protein acyltransferases136
Mutational fitness landscape and drug resistance108
May the proton motive force be with you: A plant transporter review103
Computer-aided drug design, quantum-mechanical methods for biological problems100
Structure-based virtual screening of vast chemical space as a starting point for drug discovery98
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels97
Navigating protein–nucleic acid sequence-structure landscapes with deep learning96
Advancing biomolecular simulation through exascale HPC, AI and quantum computing89
Raman spectroscopy and imaging of protein droplet formation and aggregation88
Genome modeling: From chromatin fibers to genes86
Harnessing the 14-3-3 protein–protein interaction network83
Single-point mutations in disordered proteins: Linking sequence, ensemble, and function82
Catalysis and structure of nitrogenases79
Single-particle Cryo-EM and molecular dynamics simulations: A perfect match76
Optogenetic enzymes: A deep dive into design and impact74
Recent advances in AI-driven pKa prediction for proteins and small molecules72
Next-generation predictors of protein phase behavior70
Editorial Board69
Markov field models: Scaling molecular kinetics approaches to large molecular machines68
Advances in native cell membrane nanoparticles system67
Conformational penalties: New insights into nucleic acid recognition65
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods65
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles65
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction64
Editorial overview: Biophysical methods: Exploring structures in motions, from biomolecules to cells, and how to drug them64
The mannose receptor ligands and the macrophage glycome62
Advancing protein structure prediction beyond AlphaFold260
Old and new tactics of CRISPR-centric competition between bacteria and bacteriophages59
Molecular dynamics simulations for the study of chromatin biology59
Dynamics and interactions of intrinsically disordered proteins59
NMR tools to detect protein allostery58
Mucin networks: Dynamic structural assemblies controlling mucus function57
Modeling membranes in situ56
Protein dynamics underlying allosteric regulation56
Table of contents55
Macromolecular assemblies: Molecular mechanisms abound54
Editorial overview: Molecular determinants, mechanisms, and state-of-the-art approaches in allostery53
Table of contents53
CryoEM of V-ATPases: Assembly, disassembly, and inhibition52
Probing protein–DNA interactions and compaction in nanochannels51
Insight into the structural dynamics of light sensitive proteins from time-resolved crystallography and quantum chemical calculations49
Viral amyloids: New opportunities for antiviral therapeutic strategies49
Structural insights into assembly of transcription preinitiation complex49
Challenges and compromises: Predicting unbound antibody structures with deep learning47
Artificial intelligence in therapeutic antibody design: Advances and future prospects47
Biomolecular simulations at the exascale: From drug design to organelles and beyond47
Dynamic interactions drive early spliceosome assembly46
DDK promotes DNA replication initiation: Mechanistic and structural insights46
Therapeutic implications of target residence time46
The role of RNA structure in 3’ end processing in eukaryotes44
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors44
In situ single-particle Cryo-EM methods: Principle and applications44
NMR of RNA - Structure and interactions44
Photo-crosslinkers boost structural information from crosslinking mass spectrometry43
Table of contents43
Microsecond time-resolved cryo-electron microscopy43
Structural host immune-microbiota interactions42
Cryo-EM diversifies42
Navigating the complexities of multi-domain protein folding42
Influence of membrane on the antigen presentation of the HIV-1 envelope membrane proximal external region (MPER)41
Nuclear periphery and its mechanical regulation in cell fate transitions41
The CMG DNA helicase and the core replisome41
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data40
Structural biology in the age of X-ray free-electron lasers and exascale computing40
Integrating cellular and molecular structures and dynamics into whole-cell models40
Entropy, enthalpy, and evolution: Adaptive trade-offs in protein binding thermodynamics40
Reading the glyco-code: New approaches to studying protein–carbohydrate interactions40
Machine learning approaches in predicting allosteric sites39
Are N-linked glycans intrinsically disordered?39
Integrative modeling meets deep learning: Recent advances in modeling protein assemblies39
Interplay of thermodynamics and evolution within the ternary ligand-GPCR-G protein complex39
Solid-state NMR of membrane proteins in situ39
Template matching and machine learning for cryo-electron tomography39
Frustration, dynamics, and catalysis38
Insights in bacterial genome folding38
Ligand-like lipid interactions with membrane proteins: Simulations and machine learning38
Protein diversification through post-translational modifications, alternative splicing, and gene duplication38
Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials38
Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches37
Structure-based approaches in synthetic lethality strategies37
Editorial Board37
Mass spectrometry-based shotgun glycomics for discovery of natural ligands of glycan-binding proteins37
Editorial overview: Protein-nucleic acid interactions: From origins to design37
Nucleosomes unwrapped: Structural perspectives on transcription through chromatin36
Structural basis of mRNA maturation: Time to put it together36
ACE2, B0AT1, and SARS-CoV-2 spike protein: Structural and functional implications36
Cryo-EM: A window into the dynamic world of RNA molecules36
Nexus between RNA conformational dynamics and functional versatility36
RETRACTED: Liquid-EM goes viral – visualizing structure and dynamics36
Advances in Protein-RNA aptamer recognition and modeling: Current trends and future perspectives36
Applications and prospects of cryo-electron tomography in drug discovery and understanding disease35
Computational design of novel protein–protein interactions – An overview on methodological approaches and applications35
Decrypting cryptic pockets with physics-based simulations and artificial intelligence35
Teaching AI to speak protein35
Measuring change in glycoprotein structure35
Greater than the sum of parts: Mechanisms of metabolic regulation by enzyme filaments34
In-cell chromatin structure by Cryo-FIB and Cryo-ET34
Table of contents33
Editorial Board33
Editorial overview: 3D Genome Chromatin organization and regulation33
Absolute quantification of protein number and dynamics in single cells32
Large-scale protein clustering in the age of deep learning32
Unlocking the secrets of cell boundaries: Exploring assemblies, machineries, and supercomplexes in membranes32
Automated pipelines for rapid evaluation during cryoEM data acquisition32
Commonly asked questions about transcriptional activation domains31
Protein structure prediction in the deep learning era31
The evolving role of single-molecule force spectroscopy in protein biophysics31
Molecular insights into the catalysis and regulation of mammalian NAD-dependent isocitrate dehydrogenases31
Multiscale biomolecular simulations in the exascale era30
Application of AI in biological age prediction30
Histone deacetylase 10: A polyamine deacetylase from the crystal structure to the first inhibitors30
The conformationally dynamic structural biology of lanthipeptide biosynthesis30
The material properties of mitotic chromosomes29
Single-molecule fluorescence spectroscopy of fast protein dynamics29
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies29
Application of message passing neural networks for molecular property prediction29
Interpreting chemical crosslinks: Score-based approaches and deep neural networks28
The influence of lipids and biological membranes on the conformational equilibria of GPCRs: Insights from NMR spectroscopy28
Organization of transcription and 3D genome as revealed by live-cell imaging28
Recent advances in machine learning predictions of protein-ligand binding affinities28
Prediction of nucleic acid binding residues in protein sequences: Recent advances and future prospects28
Editorial overview: Folding and Binding (2024)28
Lipid scrambling: New players, new questions, new opportunities28
Editorial overview - New Concepts in Drug Discovery (2025)28
Editorial Board28
Apprehensions and emerging solutions in ML-based protein structure prediction27
Recent advances in AI-driven protein-ligand interaction predictions27
Modeling flexible RNA 3D structures and RNA-protein complexes27
Super-resolving chromatin in its own terms: Recent approaches to portray genomic organization27
Context-dependent, fuzzy protein interactions: Towards sequence-based insights27
PARP–nucleic acid interactions: Allosteric signaling, PARP inhibitor types, DNA bridges, and viral RNA surveillance26
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
Advances and applications of microcrystal electron diffraction (MicroED)26
The role of intrinsic protein disorder in regulation of cyclin-dependent kinases26
Structural biology of γδ T cell receptors26
Industrializing AI/ML during the end-to-end drug discovery process25
Frontiers in metalloprotein crystallography and cryogenic electron microscopy25
Generative artificial intelligence for de novo protein design25
Future prospects for human genetics and genomics in drug discovery25
Combining on-line spectroscopy with synchrotron and X-ray free electron laser crystallography25
Graphene in cryo-EM specimen optimization25
Editorial overview: ‘The amazing power of physics to provide chemical insight into catalysis and regulation’ … something better …25
Exascale simulations and beyond25
View from the PEAKs: Insights from structural studies on the PEAK family of pseudokinases24
All-atom virus simulations to tackle airborne disease24
Innovations in targeting RNA by fragment-based ligand discovery24
Artificial intelligence methods for protein structure and interaction prediction: Recent advances and challenges24
Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy24
Minimal models for RNA simulations23
Structures, dynamics, complexes, and functions: From classic computation to artificial intelligence23
The evolution and mechanism of bacterial and archaeal ESCRT-III-like systems23
Cryo-EM insights into tail-anchored membrane protein biogenesis in eukaryotes23
Segmenting cryo-electron tomography data: Extracting models from cellular landscapes23
Cryo-EM of the injectisome and type III secretion systems23
Mechanical forces and the 3D genome23
Understanding glycoprotein structural heterogeneity and interactions: Insights from native mass spectrometry22
Databases and web-based tools for studying structures of protein-nucleic acid complexes22
Table of contents22
Single-molecule fluorescence imaging of DNA maintenance protein binding dynamics and activities on extended DNA22
Distinguishing between concerted, sequential and barrierless conformational changes: Folding versus allostery22
Solution NMR goes big: Atomic resolution studies of protein components of molecular machines and phase-separated condensates22
AlphaFold2 protein structure prediction: Implications for drug discovery22
Protein dynamics by the combination of high-speed AFM and computational modeling22
β-barrel membrane proteins fold via hybrid-barrel intermediate states22
A practical look at cryo-electron tomography image processing: Key considerations for new biological discoveries22
Table of contents22
Conformational inhibitors of protein aggregation21
Structural enzymology of cholesterol biosynthesis and storage21
A structural perspective on enzymes and their catalytic mechanisms21
Repair and tolerance of DNA damage at the replication fork: A structural perspective21
Emerging structure-based computational methods to screen the exploding accessible chemical space21
Membrane protein reconstitution : New possibilities for structural biology, biophysical methods, and antibody/drug discovery21
Making the cut: Multiscale simulation of membrane remodeling21
Engineering the T cell receptor for fun and profit: Uncovering complex biology, interrogating the immune system, and targeting disease21
Visualizing RNA structure ensembles by single-molecule correlated chemical probing21
Global dynamics behind enzyme catalysis, evolution, and design21
AI for targeted polypharmacology: The next frontier in drug discovery20
Updated understanding of the protein–DNA recognition code used by C2H2 zinc finger proteins20
Chromatin higher-order folding as influenced by preferred values of linker DNA20
De novo enzyme design: Controlling structure to design function20
Editorial Board20
Chromosome and protein folding: In search for unified principles20
Molecular simulations integrated with experiments for probing the interaction dynamics and binding mechanisms of intrinsically disordered proteins20
Base excision repair hierarchy in eukaryotes: Intrinsically disordered region-mediated regulation of genomic surveillance and assembly dynamics20
Helical reconstruction, again20
Protein motions visualized by femtosecond time-resolved crystallography: The case of photosensory vs photosynthetic proteins20
Allo-targeting of the kinase domain: Insights from in silico studies and comparison with experiments20
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