Dear PyMOL Users, We are pleased to announce the release of the DSSR-PyMOL plugin (v1.0.1), a unified and robust tool designed to bring the advanced nucleic acid structural annotations of DSSR (Dissecting the Spatial Structure of RNA) directly into PyMOL.
This plugin allows users to seamlessly visualize, select, and analyze complex RNA and DNA structures. It features a modern, interactive graphical interface and integrates schematic base block modeling into a single, cohesive workflow. Key Highlights & Features: * Interactive Qt GUI: A full-featured graphical interface to browse, filter, and highlight DSSR-detected structural features in real-time. * Unified Feature Mapping: Instant selection of a wide array of motifs, including base pairs, stems, helices, loops (hairpins, bulges, internal, junctions), multiplets, A-minors, and coaxial stacks. * Integrated Base Blocks: Native support for creating schematic, publication-ready "block" representations of nucleic acid bases using the 'dssr_block' command. * Pseudoknot Analysis: Direct tools to visualize and color individual pseudoknot layers based on dot-bracket notation. The plugin and installation instructions are available on GitHub: https://github.com/xiang-jun/dssr-pymol Development History & Acknowledgments: This project was initiated and coordinated by Xiang-Jun Lu (Columbia University), the creator of DSSR. We sincerely appreciate Thomas Holder for his original 'dssr_block' plugin and the foundational logic that we integrated into this unified tool. We are also proud to acknowledge the exceptional work of two high-school students who drove the script development across two major phases and continue to support the project's evolution: 1. Bener Dulger (Release Co-pilot): Developed the foundational DSSR JSON parsing and selection logic. He now oversees branch audits and the transition to the new class architecture. 2. Eric Chen (Technical Contributor): Built the Qt GUI and integrated cartoon-block schematics. He now contributes logic patches for the upcoming v1.1 release. We hope this tool will be valuable to the structural biology community. Feedback, bug reports, and feature requests are highly welcome on the GitHub Issues page. Best regards, Xiang-Jun -- Xiang-Jun Lu (Ph.D.) Email: [email protected] Web: http://x3dna.org/ Forum: http://forum.x3dna.org/
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