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 2020-04-01 to 2024-04-01.)

Article	Citations
Machine learning approaches for analyzing and enhancing molecular dynamics simulations	166
Cryo-EM structures of tau filaments	164
How do intrinsically disordered protein regions encode a driving force for liquid–liquid phase separation?	163
Toward better drug discovery with knowledge graph	109
Physics-based computational and theoretical approaches to intrinsically disordered proteins	99
NEDD8 and ubiquitin ligation by cullin-RING E3 ligases	91
Advances in machine learning for directed evolution	86
Respiratory complex I — structure, mechanism and evolution	78
Deep learning techniques have significantly impacted protein structure prediction and protein design	75
Recent advances in glycoinformatic platforms for glycomics and glycoproteomics	73
Principles of nucleosome recognition by chromatin factors and enzymes	73
Intrinsic dynamics is evolutionarily optimized to enable allosteric behavior	72
Recent results in time resolved serial femtosecond crystallography at XFELs	71
Ancestral sequence reconstruction for protein engineers	71
Allosteric drugs and mutations: chances, challenges, and necessity	68
Transcription through the nucleosome	66
Glycan structures and their interactions with proteins. A NMR view	65
Amyloid aggregation simulations: challenges, advances and perspectives	64
Serial synchrotron crystallography for time-resolved structural biology	63
Polarisable force fields: what do they add in biomolecular simulations?	62
NMR illuminates intrinsic disorder	60
Recent trends in peptide and protein-based hydrogels	60
Cryo-electron microscopy analysis of small membrane proteins	57
Deep learning approaches for de novo drug design: An overview	55
Enzyme evolution and the temperature dependence of enzyme catalysis	54

Recent progress in molecular simulation methods for drug binding kinetics	54
Graph neural network approaches for drug-target interactions	52
Structural features of activated GPCR signaling complexes	51
Adaptive machine learning for protein engineering	50
Designing better enzymes: Insights from directed evolution	50
Structure and function of naturally evolved de novo proteins	49
Molecular dynamics simulations of DNA–DNA and DNA–protein interactions	49
Advances in the calculation of binding free energies	49
Overview of the centriole architecture	47
Structure and function of adenylyl cyclases, key enzymes in cellular signaling	47
How the centriole builds its cilium: of mothers, daughters, and the acquisition of appendages	47
Epistasis and intramolecular networks in protein evolution	47
Artificial intelligence challenges for predicting the impact of mutations on protein stability	46
AlphaFold illuminates half of the dark human proteins	45
Beyond structure: emerging approaches to study GPCR dynamics	43
Harder, better, faster, stronger: Large-scale QM and QM/MM for predictive modeling in enzymes and proteins	43
Evolving understanding of HIV-1 reverse transcriptase structure, function, inhibition, and resistance	43
Developments in solution-state NMR yield broader and deeper views of the dynamic ensembles of nucleic acids	42
Structural basis of CRISPR-Cas Type III prokaryotic defence systems	42