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Gorelov, S.

Publications and source records attributed to Gorelov, S..

2 recordsLinked to original sources

DSSNA: An Open-Source GROMACS Module for Automated Analysis of Nucleic Acid Secondary and Tertiary Structure in Molecular Dynamics Simulations

This work presents DSSNA (Define Spatial Structure of Nucleic Acids) v2026, a free and open-source standalone GROMACS module for the automated analysis of nucleic acid structure based on atomic coordinates. DSSNA reproduces the core functionality of the X3DNA and DSSR approach while extending it to the analysis of molecular dynamics trajectories through integration with the GROMACS software package. The algorithm identifies and classifies structural features, including canonical and noncanonical base pairs, hydrogen-bond networks, stacking interactions, helices, and many other elements of nucleic acid secondary and tertiary structure. Its modular output system enables users to select the structural metrics required for a particular analysis, while the use of neighbor-search algorithms and data-processing capabilities facilitates the analysis of large trajectory datasets. The performance and applicability of DSSNA were demonstrated using a molecular dynamics trajectory of a GUAA tetraloop mutant of the sarcin-ricin domain from Escherichia coli 23S ribosomal RNA (PDB ID: 1MSY). The analysis showed that only a subset of the observed base pairs and stacking interactions remains stable throughout the trajectory. Persistent canonical base pairs formed the structural core responsible for maintaining the secondary-structure profile, whereas most noncanonical base pairs and stacking interactions were transient. The results demonstrate that DSSNA can be used to characterize both static nucleic acid structures and the temporal evolution of structural interactions in molecular dynamics simulations. The work also provides a glossary of terms relevant to the analysis and interpretation of nucleic acid structures.

bioinformatics↗

Determination of hydrogen bonds in Gromacs: new implementation to overcome the limitation

This work describes a new software algorithm associated with determination of hydrogen bonds in biomacromolecules and their environment. The already existing algorithm for determining hydrogen bond networks in Gromacs has a number of impenetrable limitations in the analysis of structures and trajectories. The new implementation of the algorithm for determining hydrogen bond networks in the form of a native Gromacs trajectory analysis module allows to quickly analyze molecular dynamics trajectories without restrictions, thereby overcoming the limitation of original algorithm. The application of the developed algorithm made it possible to obtain and analyze the networks of hydrogen bonds of the studied defensin-like protein Pentadiplandra brazzeana, as well as to study the lifetime of hydrogen bonds between the residues of this protein and water molecules. The data obtained using the new implementation coincided with the experimental one. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/555860v2_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@81727aorg.highwire.dtl.DTLVardef@82de36org.highwire.dtl.DTLVardef@1cad89forg.highwire.dtl.DTLVardef@53ec2a_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗