A Probabilistic Programming Approach to Protein Structure Superposition
Lys Sanz Moreta, Ahmad Salim Al-Sibahi, Douglas L. Theobald, William Bullock, Basile Rommes, Andreas Manoukian, Thomas Hamelryck
This paper introduces THESEUS-PP, a probabilistic programming approach for protein structure superposition that uses Bayesian models to account for correlated atom positions and heteroscedasticity.
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) · Jul 1, 2019Peer-reviewedBioinformatics