PhiSiCal-Checkup: A Bayesian framework to validate amino acid conformations within experimental protein structures.

Autor: Amarasinghe PR; Department of Data Science and Artificial Intelligence, Monash University, Clayton, VIC 3800, Australia., Allison L; Department of Data Science and Artificial Intelligence, Monash University, Clayton, VIC 3800, Australia., Morton CJ; Biomedical Manufacturing Program, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Clayton, VIC 3168, Australia., Stuckey PJ; Department of Data Science and Artificial Intelligence, Monash University, Clayton, VIC 3800, Australia., Garcia de la Banda M; Department of Data Science and Artificial Intelligence, Monash University, Clayton, VIC 3800, Australia., Lesk AM; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802., Konagurthu AS; Department of Data Science and Artificial Intelligence, Monash University, Clayton, VIC 3800, Australia.

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2025 Jan 07; Vol. 122 (1), pp. e2416301121. Date of Electronic Publication: 2025 Jan 02.

On the reliability and the limits of inference of amino acid sequence alignments.

Autor: Rajapaksa S; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia., Sumanaweera D; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia., Lesk AM; Department of Biochemistry and Molecular Biology and Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA., Allison L; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia., Stuckey PJ; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia., Garcia de la Banda M; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia., Abramson D; Research Computing Center, University of Queensland, St Lucia, QLD 4067, Australia., Konagurthu AS; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia.

Publikováno v: Bioinformatics (Oxford, England) [Bioinformatics] 2022 Jun 24; Vol. 38 (Suppl 1), pp. i255-i263.

Universal Architectural Concepts Underlying Protein Folding Patterns.

Autor: Konagurthu AS; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Subramanian R; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Allison L; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Abramson D; Research Computing Center, University of Queensland, Brisbane, QLD, Australia., Stuckey PJ; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC, Australia.; School of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia., Garcia de la Banda M; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Lesk AM; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, United States.; MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.

Publikováno v: Frontiers in molecular biosciences [Front Mol Biosci] 2021 Apr 30; Vol. 7, pp. 612920. Date of Electronic Publication: 2021 Apr 30 (Print Publication: 2020).

Classes of Submodular Constraints Expressible by Graph Cuts

Autor: Zivny, S, Jeavons, P, Stuckey, PJ

Publikováno v: CP. 5202

Submodular constraints play an important role both in theory and practice of valued constraint satisfaction problems (VCSPs). It has previously been shown, using results from the theory of combinatorial optimisation, that instances of VCSPs with subm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1064::2fb4987894f86a7f7a8d8dd0ac58fef7
http://ora.ox.ac.uk/objects/uuid:7c0cca34-387b-460a-ae06-02fef0e4ee35

Information-Theoretic Inference of an Optimal Dictionary of Protein Supersecondary Structures.

Autor: Konagurthu AS; Faculty of Information Technology, Monash University, Clayton, VIC, Australia. arun.konagurthu@monash.edu., Subramanian R; Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Allison L; Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Abramson D; Research Computing Centre, University of Queensland, St Lucia, QLD, Australia., de la Banda MG; Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Stuckey PJ; Faculty of Information Technology, Monash University, Clayton, VIC, Australia.; Department of Computing and Information Systems, University of Melbourne, Parkville, VIC, Australia., Lesk AM; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA.

Publikováno v: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2019; Vol. 1958, pp. 123-131.