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.

PMID: 35544315
PMCID: PMC9252799
Funding: - European Union's Horizon 2020: 952110

Documentation