20-BBSRC/NSF-BIO: From atoms to molecules to cells - Multi-scale tools and infrastructure for visualization of annotated 3D structure data
Lead Research Organisation:
European Bioinformatics Institute
Department Name: MSCB Macromolec, structural and chem bio
Abstract
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Technical Summary
This project will significantly redesign existing open-source Molstar molecular graphics infrastructure (molstar.org) to develop an extensible, one-stop-shop for web-native visualization and interrogation of open-access 3D structure data integrated from the Protein Data Bank (PDB), NextGen PDB, PDB-Dev, Electron Microscopy Data Bank, Electron Microscopy Image Archive, and BioImage Archive. The redesigned system will support efficient data delivery and web-native visualization and interrogation of 3D multiscale structure data together with structural, biological, and functional annotations across length scales ranging from individual atoms to whole cells. To the best of our knowledge, no similar software tools are currently available. Researchers, educators, and students accessing the new system will be able to combine, visualize, and interrogate structural information and related annotations from multiple open-access data resources and analyze 3D multiscale structures their respective in organellar or cellular contexts.
The joint project addresses significant challenges resulting from:
(i) the growing corpus of 3D structure data stored in disparate open-access primary data resources
(ii) the need for integration and interoperation of these data with related biological and functional annotations from knowledgebases
(iii) the need for a standard data representation for display of 3D structure data across length scales
(iv) the need to examine multiple 3D structures of biological macromolecules in groups of related structures coming from cutting-edge techniques such as serial femtosecond X-ray crystallography and cryo-electron microscopy
(v) the need to combine atomic
level/multiscale structures with lower resolution information from cryo-electron tomography and superresolution microscopy
(vi) the need for efficient data packaging, compression, and delivery for users with diverse levels of internet connectivity.
The joint project addresses significant challenges resulting from:
(i) the growing corpus of 3D structure data stored in disparate open-access primary data resources
(ii) the need for integration and interoperation of these data with related biological and functional annotations from knowledgebases
(iii) the need for a standard data representation for display of 3D structure data across length scales
(iv) the need to examine multiple 3D structures of biological macromolecules in groups of related structures coming from cutting-edge techniques such as serial femtosecond X-ray crystallography and cryo-electron microscopy
(v) the need to combine atomic
level/multiscale structures with lower resolution information from cryo-electron tomography and superresolution microscopy
(vi) the need for efficient data packaging, compression, and delivery for users with diverse levels of internet connectivity.
Publications
Vallat B
(2023)
ModelCIF: An Extension of PDBx/mmCIF Data Representation for Computed Structure Models.
in Journal of molecular biology
Segura J
(2023)
RCSB Protein Data Bank: visualizing groups of experimentally determined PDB structures alongside computed structure models of proteins.
in Frontiers in bioinformatics
Midlik A
(2023)
PDBImages: a command-line tool for automated macromolecular structure visualization.
in Bioinformatics (Oxford, England)
Baskaran K
(2024)
Restraint validation of biomolecular structures determined by NMR in the Protein Data Bank.
in Structure (London, England : 1993)
WwPDB Consortium
(2024)
EMDB-the Electron Microscopy Data Bank.
in Nucleic acids research
Vallat B
(2024)
IHMCIF: An Extension of the PDBx/mmCIF Data Standard for Integrative Structure Determination Methods.
in Journal of molecular biology
Bittrich S
(2024)
Describing and Sharing Molecular Visualizations Using the MolViewSpec Toolkit
in Current Protocols
| Description | To enhance the accessibility and usability of web-based molecular visualization, we introduce MolViewSpec (molstar.org/mol-view-spec), a standardized approach for defining molecular visualizations that decouples the definition of complex molecular scenes from their rendering. Developed as an open standard, this solution paves the way for broader interoperability and support across different programming languages and molecular viewers, enabling more streamlined, standardized, and reproducible visual molecular analyses. MolViewSpec is freely available as a Mol* extension and a standalone Python package. |
| Exploitation Route | The Mol* viewer is the standard for web-based visualisation. It is used by all major data resources, including AlphaFold Database, UniProt, RCSB PDB, PDBe, Ensembl, InterPro, and many others to display molecular structure data and associated annotations. The development carried out during this project will enhance the functionality of this important web-based 3D molecular visualisation framework. |
| Sectors | Agriculture Food and Drink Chemicals Digital/Communication/Information Technologies (including Software) Education Healthcare Pharmaceuticals and Medical Biotechnology |
| URL | http://molstar.org/ |
| Title | MolViewSpec |
| Description | This repository contains the complete source code of the MolViewSpec framework. This currently consists of the MolViewSpec Python package and the MolViewSpec extension for Mol*. Main files: mol-view-spec-v0.1.8.zip - MolViewSpec Python package (snapshot of GitHub repository https://github.com/molstar/mol-view-spec, commit cf1bb61354acf0324e1052db211e09e1511b0929) MolViewSpec_A_Python_Library_to_Define_Molecular_3D_Views.ipynb - Interactive documentation for the MolViewSpec Python package molstar-v4.0.1.zip - Mol* library, including MolViewSpec extension (snapshot of GitHub repository https://github.com/molstar/molstar, commit 32c3ef080192a9add1bde9c11fede8a882456fb3) |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | Users can programmatically specify a reusable 3D rendering specification. |
| URL | https://zenodo.org/doi/10.5281/zenodo.10680551 |
| Title | PDB images |
| Description | PDBImages is a command-line tool for generating images of macromolecular structures from mmCIF or binary CIF structure files based on Mol*. |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| Impact | Users can generate 3D rendering of molecular structures using a command line tool. |
| URL | https://github.com/PDBeurope/pdb-images |
| Description | Hot Topics in Contemporary Crystallography (HTCC6) course - in Dubrovnik, Croatia |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Lectures & Tutorials on: (1) Structural bioinformatics touching on PDBe, PDBe-KB, 3d beacons, Molstar and (2) AlphaFold. The closing speech mentioned using Molstar to generate images and animations as something the speaker (Terese Bergfors) would be interested in learning more about. |
| Year(s) Of Engagement Activity | 2024 |
