OOIR: Observatory of International Research

Papers

(The H4-Index of Current Opinion in Structural Biology is 45. 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.)

Article	Citations
How molecular modelling can better broaden the understanding of glycosylations	215
Mutational fitness landscape and drug resistance	196
Editorial	147
In silico reconstitution of DNA replication. Lessons from single-molecule imaging and cryo-tomography applied to single-particle cryo-EM	145
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels	131
Catalysis and structure of nitrogenases	118
Access and utilization of long chain fatty acyl-CoA by zDHHC protein acyltransferases	106
Optogenetic enzymes: A deep dive into design and impact	106
HIV-1 gp160 in nanodiscs: Unravelling structures and guiding vaccine design	105
Computer-aided drug design, quantum-mechanical methods for biological problems	89
Single-particle Cryo-EM and molecular dynamics simulations: A perfect match	87
Raman spectroscopy and imaging of protein droplet formation and aggregation	87
Single-point mutations in disordered proteins: Linking sequence, ensemble, and function	86
May the proton motive force be with you: A plant transporter review	85
Advancing biomolecular simulation through exascale HPC, AI and quantum computing	82
Navigating protein–nucleic acid sequence-structure landscapes with deep learning	82
Genome modeling: From chromatin fibers to genes	80
Harnessing the 14-3-3 protein–protein interaction network	79
Structure-based virtual screening of vast chemical space as a starting point for drug discovery	79
Editorial Board	78
Markov field models: Scaling molecular kinetics approaches to large molecular machines	77
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles	73
Advancing protein structure prediction beyond AlphaFold2	70
Mucin networks: Dynamic structural assemblies controlling mucus function	68
Gut power: Modulation of human amyloid formation by amyloidogenic proteins in the gastrointestinal tract	64

Structure-based analyses of gut microbiome-related proteins by neural networks and molecular dynamics simulations	64
Structural insights into host–microbe glycointeractions	62
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods	62
Editorial overview: Biophysical methods: Exploring structures in motions, from biomolecules to cells, and how to drug them	62
Conformational penalties: New insights into nucleic acid recognition	59
NMR tools to detect protein allostery	57
Modeling membranes in situ	57
Implications of disease-related mutations at protein–protein interfaces	56
Advances in native cell membrane nanoparticles system	54
Molecular dynamics simulations for the study of chromatin biology	52
Old and new tactics of CRISPR-centric competition between bacteria and bacteriophages	52
Dynamics and interactions of intrinsically disordered proteins	50
The mannose receptor ligands and the macrophage glycome	49
Protein dynamics underlying allosteric regulation	48
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors	48
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction	48
The role of RNA structure in 3’ end processing in eukaryotes	47
Interpretable artificial intelligence and exascale molecular dynamics simulations to reveal kinetics: Applications to Alzheimer's disease	46
Table of contents	46
Challenges and compromises: Predicting unbound antibody structures with deep learning	45
Macromolecular assemblies: Molecular mechanisms abound	45
Table of contents	45
Structural insights into assembly of transcription preinitiation complex	45