Current Opinion in Structural Biology

Papers
(The TQCC of Current Opinion in Structural Biology is 18. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Single-particle Cryo-EM and molecular dynamics simulations: A perfect match160
Single-point mutations in disordered proteins: Linking sequence, ensemble, and function135
In silico reconstitution of DNA replication. Lessons from single-molecule imaging and cryo-tomography applied to single-particle cryo-EM121
How molecular modelling can better broaden the understanding of glycosylations112
Mutational fitness landscape and drug resistance111
Editorial110
Advancing biomolecular simulation through exascale HPC, AI and quantum computing101
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels100
Computer-aided drug design, quantum-mechanical methods for biological problems99
Harnessing the 14-3-3 protein–protein interaction network88
Access and utilization of long chain fatty acyl-CoA by zDHHC protein acyltransferases85
May the proton motive force be with you: A plant transporter review80
Structure-based virtual screening of vast chemical space as a starting point for drug discovery76
Catalysis and structure of nitrogenases76
Genome modeling: From chromatin fibers to genes73
Structure-based analyses of gut microbiome-related proteins by neural networks and molecular dynamics simulations71
Editorial overview: Biophysical methods: Exploring structures in motions, from biomolecules to cells, and how to drug them68
Mucin networks: Dynamic structural assemblies controlling mucus function66
NMR tools to detect protein allostery66
The mannose receptor ligands and the macrophage glycome65
Structural insights into host–microbe glycointeractions65
Principles of nucleosome recognition by chromatin factors and enzymes64
Modeling membranes in situ64
Gut power: Modulation of human amyloid formation by amyloidogenic proteins in the gastrointestinal tract63
Conformational penalties: New insights into nucleic acid recognition60
Editorial Board59
Advancing protein structure prediction beyond AlphaFold259
Quantitative characterization of O-GalNAc glycosylation59
Inner workings of RAG recombinase and its specialization for adaptive immunity59
Markov field models: Scaling molecular kinetics approaches to large molecular machines56
Protein dynamics underlying allosteric regulation54
Implications of disease-related mutations at protein–protein interfaces54
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods52
Molecular dynamics simulations for the study of chromatin biology51
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction51
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles50
Dynamics and interactions of intrinsically disordered proteins50
Structural insights into assembly of transcription preinitiation complex48
Challenges and compromises: Predicting unbound antibody structures with deep learning48
Interpretable artificial intelligence and exascale molecular dynamics simulations to reveal kinetics: Applications to Alzheimer's disease48
Viral amyloids: New opportunities for antiviral therapeutic strategies47
Editorial overview: Molecular determinants, mechanisms, and state-of-the-art approaches in allostery46
Biomolecular simulations at the exascale: From drug design to organelles and beyond46
CryoEM of V-ATPases: Assembly, disassembly, and inhibition45
Table of contents44
Insight into the structural dynamics of light sensitive proteins from time-resolved crystallography and quantum chemical calculations44
Editorial Board44
Table of contents44
Macromolecular assemblies: Molecular mechanisms abound43
Probing protein–DNA interactions and compaction in nanochannels42
The role of RNA structure in 3’ end processing in eukaryotes42
Computational approaches to predict protein functional families and functional sites42
Dynamic interactions drive early spliceosome assembly41
NMR of RNA - Structure and interactions41
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors40
DDK promotes DNA replication initiation: Mechanistic and structural insights39
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data39
Microsecond time-resolved cryo-electron microscopy39
Nuclear periphery and its mechanical regulation in cell fate transitions37
Table of contents37
Engineering Cas9 for human genome editing37
Structural host immune-microbiota interactions37
Cryo-EM diversifies36
Integrative modeling meets deep learning: Recent advances in modeling protein assemblies36
Influence of membrane on the antigen presentation of the HIV-1 envelope membrane proximal external region (MPER)35
Insights in bacterial genome folding35
Integrating cellular and molecular structures and dynamics into whole-cell models35
The CMG DNA helicase and the core replisome35
Interplay of thermodynamics and evolution within the ternary ligand-GPCR-G protein complex35
Reading the glyco-code: New approaches to studying protein–carbohydrate interactions35
Structural biology in the age of X-ray free-electron lasers and exascale computing34
Machine learning approaches in predicting allosteric sites34
Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials34
Protein diversification through post-translational modifications, alternative splicing, and gene duplication34
Editorial Board34
Navigating the complexities of multi-domain protein folding34
Modeling biomolecular kinetics with large-scale simulation33
Mass spectrometry-based shotgun glycomics for discovery of natural ligands of glycan-binding proteins33
RETRACTED: Liquid-EM goes viral – visualizing structure and dynamics33
Nexus between RNA conformational dynamics and functional versatility32
New insights into Raf regulation from structural analyses32
Teaching AI to speak protein31
Measuring change in glycoprotein structure31
CRISPR/Cas9-based directed evolution in mammalian cells30
Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches30
Computational design of novel protein–protein interactions – An overview on methodological approaches and applications30
Cryo-EM: A window into the dynamic world of RNA molecules30
Structural basis of mRNA maturation: Time to put it together29
Nucleosomes unwrapped: Structural perspectives on transcription through chromatin29
Mass spectrometry informs the structure and dynamics of membrane proteins involved in lipid and drug transport29
Greater than the sum of parts: Mechanisms of metabolic regulation by enzyme filaments28
ACE2, B0AT1, and SARS-CoV-2 spike protein: Structural and functional implications27
Structure-based approaches in synthetic lethality strategies27
Glycoproteomics: growing up fast27
Post-translational modification of RAS proteins26
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies26
Editorial Board26
The estrogen receptor/GATA3/FOXA1 transcriptional network: lessons learned from breast cancer26
Editorial overview: 3D Genome Chromatin organization and regulation26
Multiscale biomolecular simulations in the exascale era26
Table of contents26
Membrane proteins enter the fold25
Sculpting therapeutic monoclonal antibody N-glycans using endoglycosidases25
Molecular insights into the catalysis and regulation of mammalian NAD-dependent isocitrate dehydrogenases25
Multiscale simulations of large complexes in conjunction with cryo-EM analysis25
Absolute quantification of protein number and dynamics in single cells25
The conformationally dynamic structural biology of lanthipeptide biosynthesis25
Toward the equilibrium and kinetics of amyloid peptide self-assembly25
Commonly asked questions about transcriptional activation domains24
Interplay among transacting factors around promoter in the initial phases of transcription24
Unlocking the secrets of cell boundaries: Exploring assemblies, machineries, and supercomplexes in membranes24
The material properties of mitotic chromosomes24
Automated pipelines for rapid evaluation during cryoEM data acquisition24
Protein structure prediction in the deep learning era24
Histone deacetylase 10: A polyamine deacetylase from the crystal structure to the first inhibitors23
Monitoring and modulating O-GlcNAcylation: assays and inhibitors of O-GlcNAc processing enzymes23
Application of message passing neural networks for molecular property prediction23
Techniques for studying membrane pores23
Adaptive machine learning for protein engineering23
Organization of transcription and 3D genome as revealed by live-cell imaging23
Deep learning methods for 3D structural proteome and interactome modeling23
Application of AI in biological age prediction23
Editorial overview: Folding and Binding (2024)23
Structural basis for DNA sequence recognition by pioneer factors in nucleosomes22
Advances and applications of microcrystal electron diffraction (MicroED)22
Functional and pathological amyloid structures in the eyes of 2020 cryo-EM22
Context-dependent, fuzzy protein interactions: Towards sequence-based insights22
Deep learning techniques have significantly impacted protein structure prediction and protein design22
PARP–nucleic acid interactions: Allosteric signaling, PARP inhibitor types, DNA bridges, and viral RNA surveillance22
Editorial overview: Catalysis and regulation: The beating heart of biology22
How much can physics do for protein design?22
Generative artificial intelligence for de novo protein design22
Editorial overview: ‘The amazing power of physics to provide chemical insight into catalysis and regulation’ … something better …22
Recent progress in membrane protein dynamics revealed by X-ray free electron lasers: Molecular movies of microbial rhodopsins22
The role of intrinsic protein disorder in regulation of cyclin-dependent kinases22
Recent advances and current trends in cryo-electron microscopy22
Apprehensions and emerging solutions in ML-based protein structure prediction22
Frontiers in metalloprotein crystallography and cryogenic electron microscopy22
Solution NMR goes big: Atomic resolution studies of protein components of molecular machines and phase-separated condensates21
Combining on-line spectroscopy with synchrotron and X-ray free electron laser crystallography21
Graphene in cryo-EM specimen optimization21
View from the PEAKs: Insights from structural studies on the PEAK family of pseudokinases21
Recent developments in multiscale free energy simulations21
Mechanical forces and the 3D genome21
β-barrel membrane proteins fold via hybrid-barrel intermediate states21
Cryo-EM of the injectisome and type III secretion systems21
Innovations in targeting RNA by fragment-based ligand discovery21
Exascale simulations and beyond21
Structures, dynamics, complexes, and functions: From classic computation to artificial intelligence21
Cryo-EM insights into tail-anchored membrane protein biogenesis in eukaryotes21
Future prospects for human genetics and genomics in drug discovery20
Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy20
Making the cut: Multiscale simulation of membrane remodeling20
AlphaFold2 protein structure prediction: Implications for drug discovery20
Engineering the T cell receptor for fun and profit: Uncovering complex biology, interrogating the immune system, and targeting disease20
Table of contents20
Industrializing AI/ML during the end-to-end drug discovery process20
Table of contents20
Outer membrane protein evolution20
Distinguishing between concerted, sequential and barrierless conformational changes: Folding versus allostery19
Neutron crystallography for the elucidation of enzyme catalysis19
Visualizing RNA structure ensembles by single-molecule correlated chemical probing19
Single-molecule fluorescence imaging of DNA maintenance protein binding dynamics and activities on extended DNA19
Helical reconstruction, again19
Understanding glycoprotein structural heterogeneity and interactions: Insights from native mass spectrometry19
AI for targeted polypharmacology: The next frontier in drug discovery19
Emerging structure-based computational methods to screen the exploding accessible chemical space19
Protein dynamics by the combination of high-speed AFM and computational modeling19
Conformational inhibitors of protein aggregation19
Repair and tolerance of DNA damage at the replication fork: A structural perspective19
Structural enzymology of cholesterol biosynthesis and storage19
Table of contents19
Gas-phase infrared spectroscopy of glycans and glycoconjugates18
Chromosome and protein folding: In search for unified principles18
NleB/SseKs ortholog effectors as a general bacterial monoglycosyltransferase for eukaryotic proteins18
Editorial Board18
Dynamic Protein-RNA recognition in primary MicroRNA processing18
Mapping the binding sites of challenging drug targets18
Protein motions visualized by femtosecond time-resolved crystallography: The case of photosensory vs photosynthetic proteins18
Editorial overview–Artificial intelligence methodologies in structural biology: Bridging the gap to medical applications18
Time resolved applications for Cryo-EM; approaches, challenges and future directions18
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