Abstract

An algorithm is presented for the simulation of two partially flexible macromolecules where the interaction between the flexible parts and rigid parts is represented by energy grids associated with the rigid part of each macromolecule. The proposed algorithm avoids the transformation of the grid upon molecular movement at the expense of the significantly lesser effect of transforming the flexible part.

Highlights

  • Atomic level simulation of macromolecules is currently performed almost exclusively by molecular dynamics

  • A further advantage of the Monte Carlo approach over molecular dynamics is the ease of limiting the sampling to certain parts of the system and/or to a limited set of degrees of freedom

  • This idea has been combined with the Monte Carlo approach for the simulation of protein loops [7] where only a small part of the molecule is moved during the simulation, achieving similar speedup

Read more

Summary

Introduction

Atomic level simulation of macromolecules is currently performed almost exclusively by molecular dynamics. Since the most likely macromolecule type to be modeled is a protein and protein domains have well over a thousand atoms (i.e., NR ' 1000 is a low estimate in most cases), using the grid representation saves a factor of NR /10, that is, likely a factor of ~100 or more This idea has been combined with the Monte Carlo approach for the simulation of protein loops [7] where only a small part of the molecule is moved during the simulation, achieving similar speedup. When modeling the interaction of two partially rigid macromolecules, the straightforward extension of these algorithms would run into the difficulty of having to move at least one of the sets of grids This introduces additional computation expenses: (a) finding the nearest eight gridpoints. This note describes an algorithm that allows the movement of the rigid part while maintaining

Theoriginal
The difference between the primed and unprimed
G2: The set of grids representing the field
Discussion complex as follows
Methods
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call