Laboratory of Physico-chemical methods for studying the structure of substances

In this project, the signaling and regulatory proteins responsible for increasing the yield of spring barley during drought, in laboratory and field tests of nanobiological preparations based on Fe, Zn and Cu nanoparticles, will be identified by the method of functional express proteomics of plants at different stages of vegetation. Laboratory and field tests will be performed on 2 varieties: Primrose and T12. Identification of regulatory proteins associated with increased barley yield in drought conditions will allow targeted breeding to obtain drought-resistant varieties. It is expected that the results of the study can be generalized to other crops.

The object of the study: Alzheimer's disease (AD). The main objectives are: (1) Development of an algorithm for searching and identifying sites of protein sequence changes caused by post-translational modifications (PTM), amino acid substitutions associated with polymorphism, alternative splicing, and RNA editing. (2) Analysis of the relationship of PTM with amino acid substitutions and/or alternative splicing. The concrete result of these studies will be the creation of a map of both new PTMs, as well as alternative splicing events in the context of AD, which will further allow for a better understanding of the molecular mechanisms of diagnosis or treatment of this pathology. (3) Investigation of posttranslational modifications and/or single amino acid substitutions associated with AD. The main result of this part of the work is the identification of differentially modified proteins associated with AD. These changes may include post-translational modifications, translation errors, tRNA coding errors, RNA editing, genetic single-nucleotide polymorphisms, etc.

We are actively developing and introducing into research practice a fast and accurate method for semi-quantitative determination of protein concentrations in the proteomes of microorganisms and their communities. Our achievements so far: • Bioinformatic algorithm determines bacterial species with 95% accuracy, without information about the origin of the sample. • The microbial composition is determined at the genus level with an average difference of 12% between the actual and identified content. • Accurately assess the functional activity of isolates in the degradation of pollutants and/or biosynthesis of target products (based on comparison with the results of transcriptomics and HPLC-MS/MS methods (Label free and TMT-labeling).

We are actively developing and introducing into research practice a method of rapid analysis of malignant cell proteomes based on direct mass spectrometric identification of DirectMS1. Our achievements to date: the rapid method of temperature profiling of proteomes has been successfully tested on well-known drugs (topotecan) and experimental substances based on platinum and ruthenium complexes.

Development of specialized bioinformatics resources for processing, interpreting, and visualizing quantitative proteomics data based on HPLC-MS/MS, including identification and quantitative analysis of proteins.