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Computational techniques for efficient conformational sampling of proteins od Adam Liwo, Cezary Czaplewski, Stanisław Ołdziej, Harold A. Scheraga

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Uniform Sampling of Steady-State Flux Spaces: Means to Design Experiments and to Interpret Enzymopathies od Nathan D. Price, Jan Schellenberger, Bernhard Ø. Palsson

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Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent od Yuanfeng Wang, Scott Christley, Eric Mjolsness, Xiaohui Xie

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Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference od Michael D. Karcher, Julia A. Palacios, Trevor Bedford, Marc A. Suchard, Vladimir N. Minin

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Demonstrating an Order-of-Magnitude Sampling Enhancement in Molecular Dynamics Simulations of Complex Protein Systems od Albert C. Pan, Thomas M. Weinreich, Stefano Piana, David E. Shaw

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<scp>phylodyn</scp>: an R package for phylodynamic simulation and inference od Michael D. Karcher, Julia A. Palacios, Shiwei Lan, Vladimir N. Minin

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Choice of Adaptive Sampling Strategy Impacts State Discovery, Transition Probabilities, and the Apparent Mechanism of Conformational Changes od Maxwell I. Zimmerman, Justin R. Porter, Xianqiang Sun, Roseane R. Silva, Gregory R. Bowman

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Two-Locus Likelihoods Under Variable Population Size and Fine-Scale Recombination Rate Estimation od Jack Kamm, Jeffrey P. Spence, Jeffrey Chan, Yun S. Song

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A comparison of Monte Carlo sampling methods for metabolic network models od Shirin Fallahi, Hans J. Skaug, Guttorm Alendal

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On Fast Sampling of Diffusion Probabilistic Models od Zhifeng Kong, Wei Ping

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Enhanced sampling without borders: on global biasing functions and how to reweight them od Anna S. Kamenik, Stephanie M. Linker, Sereina Riniker

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Adaptive Sampling Methods for Molecular Dynamics in the Era of Machine Learning od Diego E. Kleiman, Hassan Nadeem, Diwakar Shukla

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