2017
DOI: 10.1016/j.softx.2016.12.002
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pysimm: A python package for simulation of molecular systems

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Cited by 70 publications
(67 citation statements)
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“…The PEGDA macromer chains with molecular weights of 10 ( n = 224) and 5 kDa ( n = 110) for ideal networks of pure PEGDA and PEG–peptide conjugates, respectively, were generated using the open‐source Python package pysimm . pysimm uses a linear force field assisted pseudo‐self‐avoiding random‐walk algorithm where molecular units are added stepwise to the growing polymer chain end . Structural relaxation and short MD runs are performed immediately following each molecular insertion.…”
Section: Computational Methodologymentioning
confidence: 99%
“…The PEGDA macromer chains with molecular weights of 10 ( n = 224) and 5 kDa ( n = 110) for ideal networks of pure PEGDA and PEG–peptide conjugates, respectively, were generated using the open‐source Python package pysimm . pysimm uses a linear force field assisted pseudo‐self‐avoiding random‐walk algorithm where molecular units are added stepwise to the growing polymer chain end . Structural relaxation and short MD runs are performed immediately following each molecular insertion.…”
Section: Computational Methodologymentioning
confidence: 99%
“…This manner is analogous to the algorithm in the Polymatic code embedded in pysimm package. 31 Furthermore, additional NVT MD steps (i.e., md2 type MD simulation in Fig. 3) are inserted into the linking cycles to further relax and equilibrate the system.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…The reduce code in Ambertools 64 was used to determine amino acid protonation states. The structures of free pCBMA (DP 18) and free pOEGMA (DP 25) were generated using the PySimm 65 software package’s forcefield assisted linear self- avoiding random walk. The initiator structure was the positively charged ATRP initiator used experimentally in this study.…”
Section: Methodsmentioning
confidence: 99%