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Publication - Professor Leo Brady

    ISAMBARD

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

    Citation

    Wood, CW, Heal, J, Thomson, D, Bartlett, GJ, Ibarra, AA, Brady, RL, Sessions, RB & Woolfson, D, 2017, ‘ISAMBARD: an open-source computational environment for biomolecular analysis, modelling and design’. Bioinformatics.

    Abstract

    Motivation: The rational design of biomolecules is becoming a reality. However, further computational tools are needed to facilitate and accelerate this, and to make it accessible to more users.

    Results: Here we introduce ISAMBARD, a tool for structural analysis, model building and rational design of biomolecules. ISAMBARD is open-source, modular, computationally scalable and intuitive to use. These features allow non-experts to explore biomolecular design in silico. ISAMBARD addresses a standing issue in protein design, namely, how to introduce backbone variability in a controlled manner. This is achieved through the generalisation of tools for parametric modelling, describing the overall shape of proteins geometrically, and without input from experimentally determined structures. This will allow backbone conformations for entire folds and assemblies not observed in nature to be generated de novo, that is, to access the ‘dark matter of protein-fold space’. We anticipate that ISAMBARD will find broad applications in biomolecular design, biotechnology and synthetic biology.

    Availability: A current stable build can be downloaded from the python package index (https://pypi.python.org/pypi/isambard/) with development builds available on GitHub (https://github.com/woolfson-group/) along with documentation, tutorial material and all the scripts used to generate the data described in this paper.

    Full details in the University publications repository