BioMThermDB - a database of
thermodynamic data of protein solutions
a new database with thermodynamic data of proteins in solutions
allows users to compare the properties of proteins under different conditions, as well as from
different
batches, and facilitates the acquisition of new knowledge from available literature data
serves as an experimental benchmark for testing theoretical predictions
BioMThermDB is a collection of thermodynamic and dynamic properties of various proteins and their
(aqueous)
solutions,
extracted from the vast and mostly scattered scientific literature.
It is a web-based database that provides the user with numerical values of thermodynamic quantities that
are
often
given only in the form of plots in the literature.
Each entry (specific protein solution) contains information about the composition of the solution, such as
protein
concentration, pH value and chemical identity of the buffer, ionic strength, temperature, and the presence
of
potential excipients (co-solutes).
The following properties of the protein in solution are available: hydrodynamic radius, electrophoretic
mobility, zeta
potential, and self-diffusion coefficient. Also of interest are the viscosity of the solvent, the
viscosity
of the
solution, and the cloud-point temperature.
Details of the experimental technique used to determine the parameters are given, as well as the DOI of
the
original
paper.
The information provided in the literature can facilitate meta-analysis and visualization of data, enable
comparisons,
and is particularly valuable for theorists to compare theoretical predictions with experiments.
The original reference from which the data were taken is given in the form of DOI number in the last
column.
Please, cite this data base as: Nikolić, M.; Brudar, S.; Coutsias, E.; Dill, K.A.; Lukšič, M.; Simmerling,
C.;
Hribar-Lee, B. BioMThermDB 1.0: Thermophysical Database of Proteins in Solutions. Int. J. Mol. Sci.2022, 23, 15371. https://doi.org/10.3390/ijms232315371
The work was funded by the National Institutes of Health (NIH), grant no. RM1-GM135136.