Format

Send to

Choose Destination
Bioinformatics. 2017 Oct 1;33(19):3043-3050. doi: 10.1093/bioinformatics/btx352.

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

Author information

1
School of Chemistry, University of Bristol, Bristol BS8 1TS, UK.
2
School of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
3
School of Chemistry, University of Bristol, Bristol BS8?1TS, UK.
4
School of Chemistry, University of Glasgow, Glasgow G12 8QQ, UK.
5
School of Biochemistry, University of Bristol, Bristol BS8?1TD, UK.
6
BrisSynBio, University of Bristol, Bristol BS8 1TQ, UK.

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 generalization 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 and implementation:

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.

Contact:

d.n.woolfson@bristol.ac.uk or chris.wood@bristol.ac.uk.

Supplementary information:

Supplementary data are available at Bioinformatics online.

PMID:
28582565
PMCID:
PMC5870769
DOI:
10.1093/bioinformatics/btx352
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center