CANED: A PyMOL Plugin for Computer-Aided De Novo Enzyme Design

CANED is a PyMOL plugin designed to streamline de novo enzyme design by integrating advanced computational tools into a user-friendly interface. It provides menu bar navigation and click-based operations, with standardized file output formats. Combining Rosettas physical modeling and LigandMPNNs sequence prediction capabilities, CANED organizes the enzyme design workflow into three modular stages: File Preparation, Backbone Design, and Sequence Design. It supports preparation of multiple file formats, provides Rosettas matching methods to generate enzyme backbones, and offers diverse sequence design methods. Dynamic table-based analysis and real-time 3D visualization provide a more intuitive way to select high-quality design results. By reducing the need for computational expertise and command-line operations, CANED makes enzyme design accessible to a broader range of researchers, advancing applications in pharmaceuticals, biocatalysis, and sustainable chemistry.

Authors

Institutions

Publication Details

Journal
Theoretical and Natural Science
Published
2025-05-30
DOI
https://doi.org/10.54254/2753-8818/2025.23571
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CANED: A PyMOL Plugin for Computer-Aided De Novo Enzyme Design

Ming Yan, Pinyang Zhang
Theoretical and Natural Science
Microbial Metabolic Engineering and Bioproduction
article

CANED: A PyMOL Plugin for Computer-Aided De Novo Enzyme Design

Ming Yan, Pinyang Zhang
article en

Abstract

CANED is a PyMOL plugin designed to streamline de novo enzyme design by integrating advanced computational tools into a user-friendly interface. It provides menu bar navigation and click-based operations, with standardized file output formats. Combining Rosettas physical modeling and LigandMPNNs sequence prediction capabilities, CANED organizes the enzyme design workflow into three modular stages: File Preparation, Backbone Design, and Sequence Design. It supports preparation of multiple file formats, provides Rosettas matching methods to generate enzyme backbones, and offers diverse sequence design methods. Dynamic table-based analysis and real-time 3D visualization provide a more intuitive way to select high-quality design results. By reducing the need for computational expertise and command-line operations, CANED makes enzyme design accessible to a broader range of researchers, advancing applications in pharmaceuticals, biocatalysis, and sustainable chemistry.

Theoretical and Natural ScienceVol. 99(1)
Nanjing Tech University (CN)
Openalex Percentile: Top 89%
Microbial Metabolic Engineering and Bioproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.