Abstract
The theoretical prediction of biomolecular structure from first principles and without the crutches of experimental restraints remains a dream. Most theoreticians agree that the answer is the global minimum of the free energy function [1,2], but disagree about strategies to find the minimum. Several schools of thought have formed over the years: dynamicists [3–11], minimalists [12–32], and synthesists [2,33–44]. Dynamicists believe that:sufficiently long simulations of a quasi-continuous trajectory of molecular dynamics of atomic models in vacuo or in water will solve the problem using new generations of computers, code parallelization [45,46], and optimized simulation techniques. Minimalists, unwilling to play power games and too impatient to wait until new generations of processors cover the next mile of a hundred-mile road, simplify the system by using a reduced atomic representation or a lattice, inventing a potential and then enjoying the luxury of always finding the global minimum of their energies as well as most of the other possible states for a chain of up to a hundred simplified residues [27,47]. The third school shares the impatience of minimalists, yet resists the temptation to use simple models since it appears that accuracy is a pivotal issue. Synthesists focus on the development of algorithms to replace molecular dynamics as a generator of conformational changes [42,43,48,35] and the design of methods of energy calculation which combine accuracy and speed.
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Abagyan, R.A. (1997). Protein structure prediction by global energy optimization. In: van Gunsteren, W.F., Weiner, P.K., Wilkinson, A.J. (eds) Computer Simulation of Biomolecular Systems. Computer Simulations of Biomolecular Systems, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1120-3_14
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