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Ramachandran basin

By dealing with the evolution of constraints (i.e., Ramachandran basins) rather than the backbone torsional coordinates themselves, the dynamics are judiciously simplified [31]. The algorithm consists of a stochastic simulation of the coarsely resolved dynamics, simplified to the level of time-evolving Ramachandran basin assignments. An operational premise is that steric restrictions imposed by the side chains on the backbone may be subsumed into the basin-hopping dynamics. The side chain constraints define regions in the Ramachandran map that can be explored in order to obtain an optimized pattern of nonbonded interactions. [Pg.33]

Fig. 3.3 Internal energy and number of hopping residues along a reproducible representative FM trajectory for the thermophilic variant of protein G. A hopping residue is defined as tagged for a Ramachandran basin transition in the coarse-grained stochastic process that underlies the FM torsional dynamics. Reprinted from [35], with permission from Elsevier... Fig. 3.3 Internal energy and number of hopping residues along a reproducible representative FM trajectory for the thermophilic variant of protein G. A hopping residue is defined as tagged for a Ramachandran basin transition in the coarse-grained stochastic process that underlies the FM torsional dynamics. Reprinted from [35], with permission from Elsevier...

See other pages where Ramachandran basin is mentioned: [Pg.33]    [Pg.33]    [Pg.35]    [Pg.38]    [Pg.39]    [Pg.33]    [Pg.33]    [Pg.35]    [Pg.38]    [Pg.39]    [Pg.33]    [Pg.34]    [Pg.482]    [Pg.483]    [Pg.7]   
See also in sourсe #XX -- [ Pg.33 , Pg.35 , Pg.38 ]




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Ramachandran

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