Research output per year
Research output per year
Project Details
Project Description
Progress in protein structural biology relies heavily on key computational technologies, structural alignment
being an indispensable one. Despite its importance the structural alignment problem has not been
formulated, much less solved, in a consistent and reliable way. This project will rectify this by combining novel
information-theoretic inference with advances in constraint optimization and visualization. State-of-the-art
alignment methods will be produced for biologists to generate statistically-rigorous and biologicallytrustworthy
alignments, and allow them to visualize structural relationships in unprecedented ways. This
project will provide direct payoffs to the fields of protein science, crystallography and bioinformatics.
being an indispensable one. Despite its importance the structural alignment problem has not been
formulated, much less solved, in a consistent and reliable way. This project will rectify this by combining novel
information-theoretic inference with advances in constraint optimization and visualization. State-of-the-art
alignment methods will be produced for biologists to generate statistically-rigorous and biologicallytrustworthy
alignments, and allow them to visualize structural relationships in unprecedented ways. This
project will provide direct payoffs to the fields of protein science, crystallography and bioinformatics.
| Status | Finished |
|---|---|
| Effective start/end date | 4/02/15 → 30/09/19 |
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Bridging the gaps in statistical models of protein alignment
Sumanaweera, D., Allison, L. & Konagurthu, A. S., 1 Jul 2022, In: Bioinformatics. 38, p. i229-i237 9 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Citations (Scopus) -
Universal architectural concepts underlying protein folding patterns
Konagurthu, A. S., Subramanian, R., Allison, L., Abramson, D., Stuckey, P. J., Garcia de la Banda, M. & Lesk, A. M., 30 Apr 2021, In: Frontiers in Molecular Biosciences. 7, 19 p., 612920.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile8 Citations (Scopus) -
Statistical compression of protein sequences and inference of marginal probability landscapes over competing alignments using finite state models and Dirichlet priors
Sumanaweera, D., Allison, L. & Konagurthu, A., 5 Jul 2019, In: Bioinformatics. 35, 14, p. i360-i369 10 p., btz368.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile5 Citations (Scopus)