1997
DOI: 10.1063/1.881812
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Understanding Molecular Simulation: From Algorithms to Applications

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Cited by 5,607 publications
(9,180 citation statements)
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“…53,54 The particle mesh Ewald method with a cutoff value of 450 Å was used to treat the long-range interactions, and bonds were constrained using the SHAKE algorithm. 53,54 Based on the cumulative secondary structure abundance, 37,38 we concluded that both the wildtype and A30P mutant-type αS simulations reached convergence after 20 ns of simulation per replica (see the Supporting Information). The structural and thermodynamic properties of the structures obtained after convergence were calculated for the replica closest to physiological temperature (310 K).…”
Section: ■ Methodsmentioning
confidence: 99%
“…53,54 The particle mesh Ewald method with a cutoff value of 450 Å was used to treat the long-range interactions, and bonds were constrained using the SHAKE algorithm. 53,54 Based on the cumulative secondary structure abundance, 37,38 we concluded that both the wildtype and A30P mutant-type αS simulations reached convergence after 20 ns of simulation per replica (see the Supporting Information). The structural and thermodynamic properties of the structures obtained after convergence were calculated for the replica closest to physiological temperature (310 K).…”
Section: ■ Methodsmentioning
confidence: 99%
“…Minimum image conditions were used. 63 In the simulation, one 5 ns NPT ensemble equilibration was first carried out. The temperature was kept at 300 K by weakly coupling the system to the Berendsen thermostats 64 with the relaxation time of 0.1 ps.…”
Section: Methodsmentioning
confidence: 99%
“…Molecular dynamics simulation represent a system by N interaction particles [44]. At any time, the state of the system is given by (r i , v i ), where r i and v i are the position and velocity of particle i in the system.…”
Section: Basics and Techniquesmentioning
confidence: 99%