ISAMBARD: an open-source computational environment for biomolecular analysis, modelling and design.

Area of Science:

• Computational Biology
• Structural Biology
• Biomolecular Engineering

Background:

• Rational design of biomolecules requires advanced computational tools.
• Existing tools often lack accessibility and ease of use for non-experts.
• Accelerating biomolecular design necessitates intuitive and scalable software solutions.

Purpose of the Study:

• To introduce ISAMBARD, a novel computational tool for the structural analysis, model building, and rational design of biomolecules.
• To provide a user-friendly platform that facilitates in silico exploration of biomolecular design.
• To address the challenge of introducing controlled backbone variability in protein design.

Main Methods:

• Development of ISAMBARD as an open-source, modular, and computationally scalable software.
• Implementation of generalized parametric modeling for geometric description of protein shapes.
• Enabling de novo generation of backbone conformations without reliance on experimental structures.

Main Results:

• ISAMBARD facilitates structural analysis, model building, and rational design of biomolecules.
• The tool allows non-experts to perform in silico biomolecular design.
• ISAMBARD enables controlled backbone variability and generation of novel protein fold conformations.
• Access to previously unobserved 'dark matter of protein-fold space' is facilitated.

Conclusions:

• ISAMBARD is an intuitive and powerful tool for biomolecular design, accessible to a wider user base.
• The software advances protein design by enabling controlled backbone variability and de novo structure generation.
• ISAMBARD is expected to have broad applications in biomolecular design, biotechnology, and synthetic biology.