Biomolecular interactions determine how transcription factors recognize their DNA binding sites, how proteins interact with each other, and consequently how a biological system functions. Since many biological molecules bear considerable electric charge, electrostatic interactions are among the most important when studying biomolecular interactions. However, electrostatic interactions in biological systems are difficult to calculate accurately in practice. Aside from the significants charges carried by biomolecules such as DNA and proteins, the solvent itself namely, water produces considerable electrostatic effects. Furthermore, hydrogen bonds, known to be involved in helix formation in both DNA and proteins, are essentially electrostatic in origin. Indeed, it seems that electrostatic effects often drive the physical-chemical processes in biological systems and, thereby, determine biological function. Therefore, any attempt to perform molecular dynamics (MD) simulations of biological systems will require an adequate description of these electrostatic forces. In the past, we developed a controllable scheme for computing the electrostatic energy. In principle, one may take the numerical derivative to obtain the electrostatic force. In reality, the numerical derivative computations are expensive and may become even more expensive when a high degree of accuracy is demanded. In order to have a practical system for simulation of biomolecular systems, it becomes necessary to calculate the electrostatic forces by function evaluation of analytical formulae, which is one of the primary efforts of this fiscal year. In the process of doing this, we have also implemented a more stable method for evaluating mathematical functions in a rotated coordinate system. We have also developed a new approach that allows for exact calculation of energetics even if the dielectric constant changes in space in a continuous fashion. This scenario is applicable to the the context, for example, of water layer around biomolecules. To the best of our knowledge, our method is the only one that uses energetic functional in a throughout consistent manner. We have written up this result and the paper was published in Physical Review E. Recently, we have also investigated more closely the scenario of electrostatic interactions when planar geometry is involved. This represents an idealized situation of molecular contact. Upon our analytical examination, several surprising and interesting effects were uncovered. For example, the asymmetry screening effect that leads to repulsion between dielectric objects can be considerably larger when the planar geometry is involved than when two dielectric spheres are considered. This signifies that there is an even larger ejection probability when incorrect molecular contacts are about to form. We have written our analytical results and the paper was published in Physical Review E.

Project Start
Project End
Budget Start
Budget End
Support Year
5
Fiscal Year
2010
Total Cost
$411,327
Indirect Cost
Name
National Library of Medicine
Department
Type
DUNS #
City
State
Country
Zip Code
Yu, Yi-Kuo (2018) Surface charge method for molecular surfaces with curved areal elements I. Spherical triangles. J Phys Condens Matter 30:105003
Doerr, T P; Obolensky, O I; Yu, Yi-Kuo (2017) Extending electrostatics of dielectric spheres to arbitrary charge distributions with applications to biosystems. Phys Rev E 96:062414
Doerr, T P; Yu, Yi-Kuo (2014) Electrical interactions in the cell: Asymmetric screening in a watery antiverse. Am J Phys 82:460-465
Obolensky, O I; Wu, Wells W; Shen, Rong-Fong et al. (2013) Using dissociation energies to predict observability of b- and y-peaks in mass spectra of short peptides. II. Results for hexapeptides with non-polar side chains. Rapid Commun Mass Spectrom 27:152-6
Obolensky, O I; Wu, Wells W; Shen, Rong-Fong et al. (2012) Using dissociation energies to predict observability of b- and y-peaks in mass spectra of short peptides. Rapid Commun Mass Spectrom 26:915-20
Doerr, T P; Yu, Yi-Kuo (2010) Simple electrostatic model applicable to biomolecular recognition. Phys Rev E Stat Nonlin Soft Matter Phys 81:031925
Obolensky, O I; Doerr, T P; Ray, R et al. (2009) Rigorous treatment of electrostatics for spatially varying dielectrics based on energy minimization. Phys Rev E Stat Nonlin Soft Matter Phys 79:041907
Stojmirovi?, Aleksandar; Yu, Yi-Kuo (2009) Geometric aspects of biological sequence comparison. J Comput Biol 16:579-610