OOIR: Observatory of International Research

Papers

(The H4-Index of Current Opinion in Structural Biology is 47. 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.)

Article	Citations
How molecular modelling can better broaden the understanding of glycosylations	256
HIV-1 gp160 in nanodiscs: Unravelling structures and guiding vaccine design	179
Editorial	147
Access and utilization of long chain fatty acyl-CoA by zDHHC protein acyltransferases	136
Mutational fitness landscape and drug resistance	108
May the proton motive force be with you: A plant transporter review	103
Computer-aided drug design, quantum-mechanical methods for biological problems	100
Structure-based virtual screening of vast chemical space as a starting point for drug discovery	98
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels	97
Navigating protein–nucleic acid sequence-structure landscapes with deep learning	96
Advancing biomolecular simulation through exascale HPC, AI and quantum computing	89
Raman spectroscopy and imaging of protein droplet formation and aggregation	88
Genome modeling: From chromatin fibers to genes	86
Harnessing the 14-3-3 protein–protein interaction network	83
Single-point mutations in disordered proteins: Linking sequence, ensemble, and function	82
Catalysis and structure of nitrogenases	79
Single-particle Cryo-EM and molecular dynamics simulations: A perfect match	76
Optogenetic enzymes: A deep dive into design and impact	74
Recent advances in AI-driven pKa prediction for proteins and small molecules	72
Next-generation predictors of protein phase behavior	70
Editorial Board	69
Markov field models: Scaling molecular kinetics approaches to large molecular machines	68
Advances in native cell membrane nanoparticles system	67
Conformational penalties: New insights into nucleic acid recognition	65
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods	65

Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles	65
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction	64
Editorial overview: Biophysical methods: Exploring structures in motions, from biomolecules to cells, and how to drug them	64
The mannose receptor ligands and the macrophage glycome	62
Advancing protein structure prediction beyond AlphaFold2	60
Old and new tactics of CRISPR-centric competition between bacteria and bacteriophages	59
Molecular dynamics simulations for the study of chromatin biology	59
Dynamics and interactions of intrinsically disordered proteins	59
NMR tools to detect protein allostery	58
Mucin networks: Dynamic structural assemblies controlling mucus function	57
Modeling membranes in situ	56
Protein dynamics underlying allosteric regulation	56
Table of contents	55
Macromolecular assemblies: Molecular mechanisms abound	54
Table of contents	53
Editorial overview: Molecular determinants, mechanisms, and state-of-the-art approaches in allostery	53
CryoEM of V-ATPases: Assembly, disassembly, and inhibition	52
Probing protein–DNA interactions and compaction in nanochannels	51
Structural insights into assembly of transcription preinitiation complex	49
Insight into the structural dynamics of light sensitive proteins from time-resolved crystallography and quantum chemical calculations	49
Viral amyloids: New opportunities for antiviral therapeutic strategies	49
Biomolecular simulations at the exascale: From drug design to organelles and beyond	47
Challenges and compromises: Predicting unbound antibody structures with deep learning	47
Artificial intelligence in therapeutic antibody design: Advances and future prospects	47