Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Plasmids

Plasmids

Plasmids are extrachromosomal DNA molecules found in bacteria, archaea, and some eukaryotic microbes like yeast. These small, circular DNA structures typically contain fewer than 30 genes, although some may exist linearly. Plasmids vary in their number within a cell, known as copy number. Single-copy plasmids are present in one copy per cell and multi-copy plasmids are present in multiple copies, reaching over 100 copies per cell.Plasmids usually replicate independently of the chromosomal DNA...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Design of a Survival-Fluorescence Cascade Screening Circuit (uFAST) for an Erythritol-Specific BmoR-Based Biosensor.

ACS synthetic biology·2026

Same author

A DNA-Programmed Potassium Ion Magnetic Resonance Sensor.

Journal of the American Chemical Society·2026

Same author

Design prokaryotic cis-regulatory elements using language model.

Nucleic acids research·2026

Same author

An electrophilicity-engineered magnetic sensor for MRI detection of dormant tumor cell clusters.

Science advances·2026

Same author

Effects of different antioxidants on exercise-induced oxidative stress and muscle damage in athletes: a systematic review and meta-analysis.

BMC sports science, medicine & rehabilitation·2025

Same author

Basketball detection based on YOLOv8.

PloS one·2025

Same journal

Erratum for the Research Article "Assessing the health risks of rice cadmium content standards in China" by H. Chu <i>et al</i>.

Science advances·2026

Same journal

Erratum for the Research Article "Developmental regulation of Erk signaling by mitotic kinases" by F. Chen <i>et al</i>.

Science advances·2026

Same journal

Magnetically levitated metasurface enabling tangible and bidirectional human-machine interaction.

Science advances·2026

Same journal

A general photoinduced manganese-catalyzed platform for the sequential difunctionalization of [1.1.1]propellane.

Science advances·2026

Same journal

Turning sound and force into light with AlN:Mn<sup>2+</sup> mechanoluminescence.

Science advances·2026

Same journal

Extreme dominance of Earth-origin heavy ions in the intense ring current near the Earth during the May 2024 super geomagnetic storm.

Science advances·2026

See all related articles

Search research articles

Home
Plasmidgpt: A Generative Framework For Plasmid Analysis And Generation.

Home
Plasmidgpt: A Generative Framework For Plasmid Analysis And Generation.

Related Experiment Video

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Published on: December 27, 2024

PlasmidGPT: A generative framework for plasmid analysis and generation.

Bin Shao^1,2, Zequan Han^1,3, Zeyu Liang³

¹School of Interdisciplinary Science, Beijing Institute of Technology, Beijing 100081, China.

Science Advances

|May 27, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

PlasmidGPT, a new language model, analyzes and generates plasmid DNA sequences. It accurately predicts plasmid features and origins, advancing synthetic biology and microbial genomics.

More Related Videos

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Published on: November 25, 2015

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Published on: February 5, 2021

Related Experiment Videos

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Published on: December 27, 2024

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Published on: November 25, 2015

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Published on: February 5, 2021

Area of Science:

Synthetic Biology
Bioinformatics
Computational Biology

Background:

Engineered plasmids are crucial tools in molecular biology and biotechnology.
Analyzing and designing plasmid sequences is complex and computationally intensive.
Existing models may not fully capture the nuances of plasmid sequence information.

Purpose of the Study:

Introduce PlasmidGPT, a generative language model for plasmid sequence analysis and design.
Leverage informative sequence embeddings for visualization and diversity analysis.
Achieve state-of-the-art performance in predicting plasmid features and origins.

Main Methods:

Pretraining PlasmidGPT on a large dataset of 153,208 engineered plasmid sequences from Addgene.
Utilizing learned sequence embeddings for visualization and diversity analysis.

Evaluating PlasmidGPT's performance in feature prediction, lab-of-origin prediction, and host taxonomy prediction.

Main Results:

PlasmidGPT learns informative embeddings for visualizing research topics and analyzing plasmid diversity.
Achieved state-of-the-art performance in lab-of-origin prediction for engineered plasmids.
Demonstrated generalization to natural plasmids for host taxonomy prediction (phylum and genus level).
Enabled controlled generation of functional plasmid sequences with accurate part co-occurrence and synteny.

Conclusions:

PlasmidGPT offers a powerful tool for understanding and designing plasmid sequences.
The model's embeddings facilitate novel insights into plasmid research and diversity.
PlasmidGPT advances capabilities in synthetic biology and microbial genomics through accurate prediction and controlled generation.