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Macromolecular solvation energies derived from small molecule crystal morphology
1Department of Chemistry and Biochemistry, University of California at Los Angeles 90024.
Protein Science : a Publication of the Protein Society
|November 1, 1993
Summary
Small molecule crystal morphology helps estimate surface solvation energies for proteins. This research offers insights into modifying macromolecular surface properties by analyzing crystal structures.
Area of Science:
- Crystallography
- Physical Chemistry
- Biophysics
Background:
- Understanding surface solvation energies is crucial for predicting macromolecular behavior.
- Crystal morphology offers a tractable model for studying solvation at the molecular level.
- Amino acid residue packing in proteins shares similarities with small molecule crystal packing.
Purpose of the Study:
- To evaluate surface solvation energies using small molecule crystal morphology as a model.
- To estimate solvation energies for methylene and carboxyl groups.
- To explore the utility of molecular surface area in predicting transfer free energies.
Main Methods:
- Analysis of succinic acid crystal morphology to determine surface energies.
- Estimation of solvation energies for functional groups.
- Comparison of predicted contact angles and transfer free energies with experimental data.
- Quantification of surface exposure using molecular surface area versus accessible surface area.
Main Results:
- Solvation energies for methylene and carboxyl groups were estimated.
- Predicted contact angles showed reasonable agreement with experimental measurements.
- Transfer free energies for carboxylic acids were well-predicted using molecular surface area.
- Smoother crystal faces of succinic acid exhibited lower surface energies in aqueous solution.
Conclusions:
- Small molecule crystal morphology is a valuable model for surface solvation energy studies.
- Molecular surface area provides advantages over accessible surface area for characterizing macromolecular surfaces.
- Surface roughness and apolarity correlate with higher surface energies, suggesting methods for modifying protein surfaces.