Protein fold prediction using deep-learning artificial intelligence (AI) has transformed the field of protein structure prediction (1–3). By combining physical and geometric constraints …
The ever increasing computer power, together with the improved accuracy of atomistic force fields, enables researchers to investigate biological systems at the molecular level with …
AK Sieradzan, J Sans‐Duñó… - Journal of …, 2023 - Wiley Online Library
We report major algorithmic improvements of the UNRES package for physics‐based coarse‐ grained simulations of proteins. These include (i) introduction of interaction lists to optimize …
Molecular dynamics with coarse-grained models is nowadays extensively used to simulate biomolecular systems at large time and size scales, compared to those accessible to all …
This review overviews common biopolymer modelling approaches ranging from chemically specific to highly coarse-grained techniques, along with their application ranges, strengths …
Abstract The UNited RESidue (UNRES) force field was tested in the 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction …
Abstract Graphical Processor Units (GPUs) are nowadays widely used in all-atom molecular simulations because of the advantage of efficient partitioning of atom pairs between the …
A mapping of a macromolecule is a prescription to construct a simplified representation of the system in which only a subset of its constituent atoms is retained. As the specific choice …
Intrinsically disordered proteins (IDPs) pose challenges to conventional experimental techniques due to their large-scale conformational fluctuations and transient structural …