My research interests concern the development and application of methods of computational chemistry to study study the structure and dynamics of biomolecules and biomolecular processes and to analyze physicochemical data. My most significant research accomplishment is the development, during the last 15 years, of a united-residue model of polypeptide chain (UNRES) [1], which enables both physics-based protein-structure prediction and millisecond-scale simulations of the dynamics of large protein systems. I have done this work in cooperation with Prof. Harold A. Scheraga, Cornell University. UNRES is publily available from a number od server, e.g., at Cornell University (http://cbsu.tc.cornell.edu/software/protarch/index.htm), Academic Computer Center in Gdansk, Poland (http://www.task.gda.pl/nauka/software/protarch/index.html), and Faculty of Chemistry, University of Gdansk (http://www.chem.univ.gda.pl/~adam/Downloads/index.html).
In the UNRES model [1]
a polypeptide chain is represented as a sequence of
-carbon (C
)
atoms with united peptide groups (p) located in the middle between two
consecutive C
's each and united side chains (SC) attached to the
respective C
's.
In contrast to most united-residue force fields which are largely
knowledge-based potentials, UNRES was carefully derived based on the physics
of interactions, as a cluster-cumulant
expansion of the
effective free energy of a protein plus the surrounding solvent, in which the
secondary degrees of freedom had been averaged out.
The force field has been optimized for foldability based on the energy-landscape
theory; for this purpose, we developed a novel method
[2],
which makes use of the hierarchical structure of protein energy landscape.
The optimized force field is able to predict the structure of moderately-sized
proteins without using any information from structural databases, as judged
in the Community Wide Experiments of Critical Assessment of Techniques for
Protein Structure Prediction (CASP) [3].
We recently implemented a mesoscopic molecular dynamics algorithm to UNRES
[4]. We found that UNRES in connection
with MD is capable of simulating, starting
from an arbitrary conformation, the
folding pathways of proteins with 75-100 amino-acid residues on a single
processor in a few hours on average; when massively parallel computer systems
are used proteins with size more than 1000 residues can be treated.
For the research described above, I received 4 research grants and 4 supplementary grants to support my graduate students from the Polish government (since 1996) and, together with Professor Harold A. Scheraga, a collaborative research FIRCA grant in years 1999-2004, in which I acted as the Foreign PI.
I have also done and am doing successful work in the following subjects; one most significant reference is cited per each item for illustration:
In the immediate future I will continue the work on parameterization of UNRES
to reproduce protein structural, thermodynamic, and kinetic data with the use
of more training proteins of diverse structural classes
and quantitative thermodynamical and kinetical characteristics of the effect
of mutation (free energies of folding, the
values, etc.) to evaluate
the force field. In about 6 months from now, I plan to start extending UNRES
to include variable ionization state of the acidic and basic side chains, which
will enable us to run constant-pH calculations, and to parameterize UNRES
for membrane environment. A more far-sighted research task is to extend the
UNRES approach to nucleic acids.
My other future plans in this directions
are to extend UNRES to treat peptide nucleic acids (PNA), polysaccharides,
and other biologically important macromolecules and molecular assemblies.