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Updated: May 5, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Predicting pKa for proteins using COSMO-RS.
Martin Peter Andersson1, Jan Halborg Jensen, Susan Louise Svane Stipp
1Nano-Science Center, Department of Chemistry, University of Copenhagen , Copenhagen, DK-2100 , Denmark.
The COSMO-RS method accurately predicts pKa values for large biomolecules like ovomucoid inhibitor (OMTKY3), showing high agreement with experimental data. This computational approach is effective for small proteins and enzyme active sites up to 1000 atoms.
Area of Science:
- Computational Chemistry
- Biochemistry
- Molecular Modeling
Background:
- Predicting the acidity (pKa) of amino acid residues in proteins is crucial for understanding protein function and interactions.
- Accurate pKa calculations for biomolecules are computationally challenging.
Purpose of the Study:
- To evaluate the accuracy of the COSMO-RS implicit solvation method for predicting pKa values of acidic residues in the ovomucoid inhibitor protein (OMTKY3).
- To compare the performance of COSMO-RS with experimental data and previous computational methods.
Main Methods:
- Utilized the COSMO-RS (COnductor-like Screening MOdel for Real Solvents) implicit solvation model.
- Calculated equilibrium constants (pKa) for the deprotonation of acidic residues in OMTKY3.
Main Results:
- Achieved a root mean square error of 0.5 pH units and a maximum error of 0.8 pH units when compared to experimental data.
- Demonstrated that COSMO-RS provides accurate pKa predictions for large biomolecules, comparable to smaller molecules.
- Showed that COSMO-RS performs favorably against Quantum Mechanics/Molecular Mechanics methods for OMTKY3 pKa prediction.
Conclusions:
- COSMO-RS is a reliable and accurate method for predicting protein pKa values, suitable for biomolecules up to approximately 1000 atoms.
- The method's accuracy makes it valuable for studying small proteins and specific regions of larger proteins, such as enzyme active sites.

