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A Probabilistic Programming Approach to Protein Structure Superposition., , , , , , and . CIBCB, page 1-5. IEEE, (2019)Biopython: freely available Python tools for computational molecular biology and bioinformatics., , , , , , , , , and 1 other author(s). Bioinformatics, 25 (11): 1422-1423 (June 2009)An Efficient Parallel GPU Evaluation of Small Angle X-ray Scattering Profiles., , and . BIOINFORMATICS, page 102-108. SciTePress, (2012)PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure., , , , , , , , , and 7 other author(s). J. Comput. Chem., 34 (19): 1697-1705 (2013)Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10258-10267. PMLR, (2021)Evolving hidden Markov models for protein secondary structure prediction., , , and . Congress on Evolutionary Computation, page 33-40. IEEE, (2005)Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language., , , and . MFI, page 1-8. IEEE, (2021)A Probabilistic Model of RNA Conformational Space., , , , , and . PLoS Comput. Biol., (2009)Sampling Realistic Protein Conformations Using Local Structural Bias., , and . PLoS Comput. Biol., (2006)Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder., , , , , and . ICLR, OpenReview.net, (2022)