Abstract: | Inverse Monte Carlo methods / Alexander P. Lyubartsev -- Thermodynamically consistent coarse-graining of polymers / Marina G. Guenza -- Microscopic physics-based models of proteins and nucleic acids: UNRES and NARES / Maciej Baranowski, Cezary Czaplewski, Ewa I. Gołaś, Yuan-Jie He, Dawid Jagieła, Paweł Krupa, Adam Liwo, Gia G. Maisuradze, Mariusz Makowski, Magdalena A. Mozolewska, Andrei Niadzvedtski, Antti J. Niemi, Shelly Rackovsky, Rafał Ślusarz, Adam K. Sieradzan, Stanisław Ołdziej, Tomas Wirecki, Yanping Yin, Bartłomiej Zaborowski, and Harold A. Scheraga -- AWSEM-MD: predicting protein structure and function / Garegin A. Papoian and Peter G. Wolynes -- Elastic models of biomolecules / Qiang Cui -- Knowledge-based models: RNA / Raúl Méndez, Andrey Krokhotin, Marino Convertino, Jhuma Das, Arpit Tandon, Nikolay V. Dokholyan -- The need for computational speed: state of the art in DNA coarse graining / Davit Potoian and Garegin A. Papoian -- Coarse-grained modeling of nucleosomes and chromatin / Lars Nordenskiöld, Alexander P. Lyubartsev, and Nikolay Korolev -- Modeling of genomes / Naoko Tokuda and Masaki Sasai -- Mechanics of viruses / Olga Kononova, Artem Zhmurov, Kenneth A. Marx and Valeri Barsegov |