ReviewThe protein journal2025
Combining Cryo-EM with Computational Approaches To Revolutionize Structural Biology.
Review in The protein journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- A Novel Machine-Learning Based Method for Resolving Secondary Structure Topology in Medium-Resolution Cryo-EM Density Maps.International journal of molecular sciences · 2026Article
- Comment to the Editor: From Pretty Pictures to Decision-Grade Models: A Standards-First Roadmap for cryo-EM × Computation.The protein journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The development of cryo-electron microscopy (cryo-EM) has led to significant advancements in the field of structural biology. Specifically, improvements in both hardware and software for cryo-EM have not only addressed previously perceived limitations but have also enabled the accumulation of a vast amount of structural data. The integration of cryo-EM with computational methods, such as molecular docking and molecular dynamics (MD) simulations, has further advanced the study of the molecular mechanisms underlying biological processes. This review explores the transformative contributions of cryo-EM to structural biology and highlights how molecular docking and MD simulations complement experimental data to investigate protein-protein interactions. We discuss the combined application of cryo-EM, molecular docking, and MD simulations, focusing on their roles in advancing structural analysis. Finally, we consider prospective applications, emphasizing the significant influence these techniques on the structural biology. These integrated methodologies provide valuable insights into biomolecular interactions and support structure- and fragment-based drug discovery, offering more accurate and de-tailed structural characterization.
Indexed as
Identifiers
41099770What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.