New developments of the electrostatically driven Monte Carlo method: test on the membrane-bound portion of melittin.
The electrostatically driven Monte Carlo (EDMC) method has been greatly improved by adding a series of new features, including a procedure for cluster analysis of the accepted conformations. This information is used to guide the search for the global energy minimum. Alternative procedures for generating perturbed conformations to sample the conformational space were also included. These procedures enhance the efficiency of the method by generating a larger number of low-energy conformations. The improved EDMC method has been used to explore the conformational space of a 20-residue polypeptide chain whose sequence corresponds to the membrane-bound portion of melittin. The ECEPP/3 (Empirical Conformational Energy Program for Peptides) algorithm was used to describe the conformational energy of the chain. After an exhaustive search involving 14 independent runs, the lowest energy conformation (LEC) (-91.0 kcal/mol) of the entire study was encountered in four of the runs, while conformations higher in energy by no more than 1.8 kcal/mol were found in the remaining runs with the exception of one of them (run 8). The LEC is identical to the conformation found recently by J. Lee, H. A. Scheraga, and S. Rackovsky [(1988) "Conformational Analysis of the 20-Residue Membrane-Bound Portion of Melittin by Conformational Space Annealing," Biopolymers, Vol. 46, pp. 103-115] as the lowest energy conformation obtained in their study using the conformational space annealing method. These results suggest that this conformation corresponds to the global energy minimum of the ECEPP/3 potential function for this specific sequence: it also appears to be the conformation of lowest free energy.
Ripoll
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DR
Cornell Theory Center, Cornell University, Ithaca, NY 14853, USA.
Liwo
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A
Scheraga
H A
HA
D000595:Amino Acid Sequence; D008555:Melitten / Q000737:chemistry*; D008566:Membranes / Q000737:chemistry; D008958:Models, Molecular; D008969:Molecular Sequence Data; D009010:Monte Carlo Method; D010446:Peptide Fragments / Q000737:chemistry; D011485:Protein Binding; D011487:Protein Conformation; D055672:Static Electricity; D013816:Thermodynamics
D010446:Peptide Fragments; D008555:Melitten