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Updated: Mar 29, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Computer Simulations of Peptides from the p53 DNA Binding Domain
1Center for Cancer Research Nanobiology Program, National Cancer Institute, Frederick, Maryland 21702, MITRE Corporation, 7515 Colshire Drive, McLean, Virginia 22102, and Department of Chemistry, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Abstract:
We have studied the dynamics and thermodynamics of two of the four evolutionarily conserved segments from the p53 DNA binding domain, using molecular dynamics and replica exchange simulations. These two regions contain well-defined elements of secondary structure (a β hairpin for region II and an α helix for region V) and bind to DNA in the intact protein. They are also mutational hot spots. The goal of our study was to determine the stability and folding propensity of these peptides in isolation. We used three force fields and solvent models (CHARMM19 with EEF1, CHARMM27 with GBMV, GROMOS96 with SPC). The predicted stability, folding propensity, and secondary structures depend upon the potential. Secondary structure predictors identify helical propensity for region II, in agreement with one of the force fields (CHARMM/GBMV). However, the other two potentials favor β structure for this peptide, although the conformations may differ from the crystal. For region V secondary structure predictions are unclear. Only one force field (CHARMM/GBMV) produces low-lying free energy minima that retain some of the α helical structure from the crystal structure. The other two potentials appear to favor β structure for this peptide.
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