Catana
Catana facilitates rational design and manipulation of proteins, DNA, and organic nanostructures for molecular engineering and nanotechnology applications.
Key Features:
- AI-driven structure prediction: Predicts protein structures from amino acid sequences using AI-based prediction tools.
- Recombinant fusion protein design: Supports design and modification of recombinant fusion proteins.
- DNA origami and DNA nanostructure manipulation: Enables design and manipulation of DNA origami and complex DNA nanostructures.
- Unified Nanotechnology Format (UNF) and coarse-grained model: Employs a coarse-grained data model conforming to the Unified Nanotechnology Format (UNF) for interoperability with molecular design tools.
- Export for molecular dynamics simulations: Exports designs for in silico evaluation via molecular dynamics simulations.
Scientific Applications:
- Protein engineering: Enables generation and evaluation of engineered proteins and recombinant fusions, including structure prediction from sequences.
- DNA nanotechnology: Supports design and testing of DNA origami and complex DNA nanostructures for nanotechnological applications.
- Biotechnology and medicine: Facilitates molecular design workflows relevant to biotechnology and medical research.
- In silico evaluation: Supports preparation of models and data for molecular dynamics-based in silico assessment of molecular designs.
Methodology:
Integrates advanced computational techniques, including compatibility with AI-based protein structure prediction from amino acid sequences and a coarse-grained data model conforming to the Unified Nanotechnology Format (UNF).
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 8/11/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Kuťák D, Melo L, Schroeder F, Jelic-Matošević Z, Mutter N, Bertoša B, Barišić I. CATANA: an online modelling environment for proteins and nucleic acid nanostructures. Nucleic Acids Research. 2022;50(W1):W152-W158. doi:10.1093/nar/gkac350. PMID:35544315. PMCID:PMC9252799.
DOI: 10.1093/nar/gkac350
PMID: 35544315
PMCID: PMC9252799
Funding: - European Union's Horizon 2020: 952110
Documentation
User manual
http://catana.ait.ac.at/manual/