A Firefly-inspired method for protein structure prediction in lattice models
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 341
- Type
- D - Journal article
- DOI
-
10.3390/biom4010056
- Title of journal
- Biomolecules
- Article number
- -
- First page
- 56
- Volume
- 4
- Issue
- 1
- ISSN
- 2218-273X
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
http://eprints.mdx.ac.uk/13044/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Prediction of 3D structure of proteins is a notoriously difficult problem. This paper applies a novel optimization method, a variant of the Firefly algorithm, to predict these structures. Tests on a standard benchmark show improved speed of discovering known optimal results. It also discovered new lower energy states for two proteins. This is significant because it improves the ability to predict the 3D structure of proteins, and has found new optimal folding patterns. Moreover, this shows how the Firefly algorithm can be specialized to a specific domain, exhibiting this as a strength of the algorithm.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -