| Title: | Modelling water for calorimetry of proteins |
|---|
| Authors: | ID Yeritsyan, Knarik (Author)
ID Badasyan, Artem (Author) |
|---|
| Files: |
This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS.  |
|---|
| Language: | English |
|---|
| Work type: | Unknown |
|---|
| Typology: | 1.12 - Published Scientific Conference Contribution Abstract |
|---|
| Organization: | UNG - University of Nova Gorica
|
|---|
| Abstract: | Differential Scanning Calorimetry (DSC) is a powerful technique used to study the thermal stability and unfolding of proteins. DSC provides the excess heat capacity profile and is used to study the thermodynamics of a given protein. By fitting DSC data to the model, researchers can obtain valuable information about the thermodynamics of protein folding and unfolding, which can help them better understand protein structure, stability, and function.
Based on Hamiltonian representation of ZB model and using the solvent effects we derived an expression for heat capacity in proteins and successfuly fit it to experimental data. As we show, our model provides a better fit to experimental data, as compared to the 2-state model. The model we propose takes into account also water effects and we show that it fits better to experimental data giving inter- and intra-molecular H-bonding energies instead of reporting only one total enthalpy. |
|---|
| Keywords: | Zimm-Bragg model, water model, helix-coil transition, protein folding, differential scanning calorimetry |
|---|
| Year of publishing: | 2023 |
|---|
| Number of pages: | 1 str. |
|---|
| PID: | 20.500.12556/RUNG-8590-44dfa3e7-ffa0-41d9-06b4-ab76de11c509 |
|---|
| COBISS.SI-ID: | 168900867 |
|---|
| UDC: | 54 |
|---|
| NUK URN: | URN:SI:UNG:REP:DPPPESI8 |
|---|
| Publication date in RUNG: | 18.10.2023 |
|---|
| Views: | 1947 |
|---|
| Downloads: | 0 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
