OOIR: Observatory of International Research

Papers

(The H4-Index of Current Opinion in Structural Biology is 42. 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 2020-11-01 to 2024-11-01.)

Article	Citations
How do intrinsically disordered protein regions encode a driving force for liquid–liquid phase separation?	192
Toward better drug discovery with knowledge graph	129
NEDD8 and ubiquitin ligation by cullin-RING E3 ligases	105
Physics-based computational and theoretical approaches to intrinsically disordered proteins	104
Advances in machine learning for directed evolution	104
Principles of nucleosome recognition by chromatin factors and enzymes	92
Ancestral sequence reconstruction for protein engineers	88
Deep learning techniques have significantly impacted protein structure prediction and protein design	86
Recent results in time resolved serial femtosecond crystallography at XFELs	84
Everything is connected: Graph neural networks	81
Deep learning approaches for de novo drug design: An overview	80
Serial synchrotron crystallography for time-resolved structural biology	75
Amyloid aggregation simulations: challenges, advances and perspectives	72
Graph neural network approaches for drug-target interactions	71
Modeling conformational states of proteins with AlphaFold	68
Adaptive machine learning for protein engineering	66
NMR illuminates intrinsic disorder	64
Artificial intelligence challenges for predicting the impact of mutations on protein stability	61
Epistasis and intramolecular networks in protein evolution	61
Designing better enzymes: Insights from directed evolution	61
Enzyme evolution and the temperature dependence of enzyme catalysis	59
Deep generative modeling for protein design	59
Structure-based drug design with geometric deep learning	57
Overview of the centriole architecture	57
Harder, better, faster, stronger: Large-scale QM and QM/MM for predictive modeling in enzymes and proteins	57

Structure and function of naturally evolved de novo proteins	56
Order through disorder: The role of intrinsically disordered regions in transcription factor binding specificity	56
AlphaFold illuminates half of the dark human proteins	55
How the centriole builds its cilium: of mothers, daughters, and the acquisition of appendages	53
Advances in computational structure-based antibody design	53
Spike-heparan sulfate interactions in SARS-CoV-2 infection	49
Progress at protein structure prediction, as seen in CASP15	48
Developments in solution-state NMR yield broader and deeper views of the dynamic ensembles of nucleic acids	47
Structural basis of CRISPR-Cas Type III prokaryotic defence systems	46
DNA methylation: Precise modulation of chromatin structure and dynamics	46
Computational methods to predict protein aggregation	45
Web-based tools for computational enzyme design	45
Structure of respiratory complex I – An emerging blueprint for the mechanism	45
Biophysical studies of phase separation integrating experimental and computational methods	43
Structural basis of ergothioneine biosynthesis	43
Computational design of novel protein–protein interactions – An overview on methodological approaches and applications	43
New insights into no-go, non-stop and nonsense-mediated mRNA decay complexes	43
Phase separation in transcription factor dynamics and chromatin organization	42