ReviewJournal of chemical theory and computation2023
Machines on Genes through the Computational Microscope.
Review in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed.
- Atomistic Simulations Decode the Mechanisms of DNA and RNA Processing Enzymes: Function through Motion.Accounts of chemical research · 2026Article
- Computation and deep-learning-driven advances in CRISPR genome editing.Nature structural & molecular biology · 2026Review
- Design Rules for Expanding PAM Compatibility in CRISPR-Cas9 from the VQR, VRER and EQR variants.bioRxiv : the preprint server for biology · 2025Article
- A Cryptic Binding Pocket Regulates the Metal-Dependent Activity of Cas9.bioRxiv : the preprint server for biology · 2025Article
- Graph Attention Neural Networks Reveal TnsC Filament Assembly in a CRISPR-Associated Transposon.bioRxiv : the preprint server for biology · 2025Article
- Article
- Unveiling Cas8 dynamics and regulation within a transposon-encoded Cascade-TniQ complex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Flexibility in PAM Recognition Expands DNA Targeting in xCas9.bioRxiv : the preprint server for biology · 2025Article
- Dimerization of the deaminase domain and locking interactions with Cas9 boost base editing efficiency in ABE8e.Nucleic acids research · 2024Article
- Establishing the fundamental rules for genetic code expansion.Nature chemistry · 2023Article
- Editorial: Insights in protein biochemistry: protein biophysics 2022.Frontiers in molecular biosciences · 2023Article
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
Macromolecular machines acting on genes are at the core of life's fundamental processes, including DNA replication and repair, gene transcription and regulation, chromatin packaging, RNA splicing, and genome editing. Here, we report the increasing role of computational biophysics in characterizing the mechanisms of "machines on genes", focusing on innovative applications of computational methods and their integration with structural and biophysical experiments. We showcase how state-of-the-art computational methods, including classical and ab initio molecular dynamics to enhanced sampling techniques, and coarse-grained approaches are used for understanding and exploring gene machines for real-world applications. As this review unfolds, advanced computational methods describe the biophysical function that is unseen through experimental techniques, accomplishing the power of the "computational microscope", an expression coined by Klaus Schulten to highlight the extraordinary capability of computer simulations. Pushing the frontiers of computational biophysics toward a pragmatic representation of large multimegadalton biomolecular complexes is instrumental in bridging the gap between experimentally obtained macroscopic observables and the molecular principles playing at the microscopic level. This understanding will help harness molecular machines for medical, pharmaceutical, and biotechnological purposes.
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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 OpenQuestion graph.