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About Laboratory Of Bioinformatics And Protein Engineering

Our group is involved in theoretical and experimental research on nucleic acids and proteins. The current focus is on RNA sequence-structure-function relationships (in particular 3D modeling), RNA-protein complexes, and enzymes acting on RNA.
 
We study the rules that govern the sequence-structure-function relationships in proteins and nucleic acids and use the acquired knowledge to predict structures and functions for uncharacterized gene products, to alter the known structures and functions of proteins and RNAs and to engineer molecules with new properties.
 
Our key strength is in the integration of various types of theoretical and experimental analyses. We develop and use computer programs for modeling of protein three-dimensional structures based on heterogenous, low-resolution, noisy and ambivalent experimental data. We are also involved in genome-scale phylogenetic analyses, with the focus on identification of proteins that belong to particular families. Subsequently, we characterize experimentally the function of the most interesting new genes/proteins identified by bioinformatics. We also use theoretical predictions to guide protein engineering, using rational and random approaches. Our ultimate goal is to identify complete sets of enzymes involved in particular metabolic pathways (e.g. RNA modification, DNA repair) and to design proteins with new properties, in particular enzymes with new useful functions, which have not been observed in the nature.
 
We are well-equipped with respect to both theoretical and experimental analyses. Our lab offers excellent environment for training of young researchers in both bioinformatics and molecular biology/biochemistry of protein-nucleic acid interactions.


More Good Science

NCN (MAESTRO): Integrative modeling and structure determination of macromolecular complexes comprising RNA and proteins (2017/26/A/NZ1/01083); 3 500 000 PLN; 2018-2023. PI: J.M.Bujnicki, vice-PI: N.Chandran 

Ribonucleic acid (RNA) molecules are essential ”building blocks” of life at the molecular level and they play key roles in living organisms. RNAs transmit genetic information from DNA to synthesize proteins in cells. They are also capable of catalyzing the chemical reaction as enzymes. It has also been discovered that RNA molecules perform many regulatory functions. They can turn on and off or regulate processes carried out by other biological molecules. RNA molecules are also frequently synthesized for their practical application, for example in medicine as candidates for a new generation of drugs, in biotechnology as biosensors for the detection of chemical molecules, or in nanotechnology for the formation of new nanoparticles and nanomaterials.

While RNA molecules can be isolated and analyzed in test tubes, in cells they do not act alone. In fact, the cellular and biochemical functions of most RNA molecules are critically dependent on their interactions with protein molecules, and on the formation of RNA-protein macromolecular complexes. Thus, the understanding of the molecular basis of RNA functions is incomplete without taking into account their protein partners. In order to understand RNA best, we have to study the structure and dynamics of RNA-protein complexes.

Unfortunately, experimental determination of RNA-protein complex structures is very difficult, mostly because RNA-protein assemblies are often very flexible and switch between different structures. Often we can perform various experiments to obtain a partial view of RNA-protein complex structure (e.g., a rough shape of the whole complex, or detailed information on some of its parts), but it is very difficult to determine the molecular detail of the entire system.

In this research project, we develop new computer software for molecular modeling of RNA-protein complexes, which can use fragmentary and “incomplete” experimental data to determine RNA-protein complex structures more accurately than it is possible now. We work with the existing prototypes of our computer programs SimRNP and PyRy3D and our goal is to develop them to provide a new general-purpose software package to a wide community of users. The project also involves a series of test to make sure that the new methods perform well (both alone and together). The new programs will be made freely available to the academic community, enabling their broad use.

As a key part of the project, we carry out experimental analyses to provide data for modeling of new structures, and to test the accuracy of these structural models.

The project is carried out by an interdisciplinary team of researchers, including computer programmers, researchers specializing in computer simulations and data analysis, and biochemists who analyze RNA molecules experimentally.

 

Publications resulting from and supported by the project:

Stasiewicz J, Mukherjee S, Nithin C, Bujnicki JM
QRNAS: software tool for refinement of nucleic acid structures
BMC Struct Biol. 2019 Mar 21; 19(5); doi: 10.1186/s12900-019-0103-1

Ponce-Salvatierra A, Astha, Merdas K, Nithin C, Ghosh P, Mukherjee S, Bujnicki JM
Computational modeling of RNA 3D structure based on experimental data
Biosci Rep. 2019 Feb 8;39(2); doi: 10.1042/BSR20180430

Nithin C, Ghosh P, Bujnicki JM
Bioinformatics tools and benchmarks for computational docking and 3D structure prediction of RNA-protein complexes
Genes (Basel). 2018 Aug 25; 9(9):E432; doi: 10.3390/genes9090432.