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Schultze, A.

Publications and source records attributed to Schultze, A..

2 recordsLinked to original sources

Molecular dynamics simulation-based investigation of LexA-DNA interaction: affinity-dependent conformational changes and implications for DNA looping

ContextThe binding of proteins to the DNA plays a crucial role in various cellular processes including gene expression. LexA is a bacterial transcription factor that binds to a specific DNA motif, leading to the regulation of numerous genes involved in the DNA damage response. Understanding the structural dynamics and mechanisms of DNA binding by LexA can provide valuable insights into its function and regulatory capabilities. Here, molecular dynamics (MD) simulations are used to investigate how the sequence of the DNA binding motif influences the conformational changes and bending behavior of DNA upon LexA binding. Simulation trajectories reveal that the DNA fragment containing a higher affinity LexA binding motif exhibits more pronounced bending and structural deformations compared to that containing a lower affinity binding motif. Additionally, bending of the protein itself is also observed in the presence of the DNA fragment with the higher affinity LexA binding motif. Our results confirm previous reports of LexA-induced DNA bending and shed further light on the structural details of the DNA bending mechanisms. MethodsMD simulations are employed to investigate the interaction between LexA and 70 bp-long DNA fragments that differ in the LexA binding motif. The GROMACS simulation package with the AMBER14SB force field for proteins and the AMBERparmbsc1 force field for nucleic acids is used to conduct 100 ns-long all-atom simulations. The solvent is set up with the TIP3P water model and the simulation box is filled with ions to reach 0.15 M salt concentration.

biophysics↗

patcHwork: A user-friendly pH sensitivity analysis web server for protein sequences and structures

pH regulates protein function and interactions by altering the charge of individual residues causing the loss or gain of intra-molecular non-covalent bonds, which may additionally lead to structural rearrangements. While tools to analyze residue-specific charge distribution of protein sequences and structures at a given pH exist, currently no tool is available to investigate non-covalent bond changes at two different pH values. In an effort to make protein pH sensitivity analysis more accessible to researchers without computational structural biology background, we developed patcHwork, a web server that combines the identification of amino acids undergoing a charge shift with the determination of affected non-covalent bonds at two user-defined pH values. At the sequence-only level, patcHwork applies the Henderson-Hasselbalch equation to determine pH-sensitive residues. When the 3D protein structure is available, patcHwork can be employed to gain a deeper mechanistic understanding of the effect of pH on a protein of interest. This is achieved using the PDB2PQR and PROPKA tools and non-covalent bond determination algorithms. A user-friendly interface allows visualizing pH-sensitive residues as well as affected salt bridges, hydrogen bonds and aromatic (pi-pi and cation-pi) interactions. Importantly, patcHwork can be used to identify patches, a new concept we propose of pH-sensitive residues in close proximity on the protein structure, which may have a major impact on function. We demonstrate the attractiveness of patcHwork studying experimentally investigated pH-sensitive proteins. (Access:https://patchwork.biologie.uni-freiburg.de/) Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/478804v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@df873eorg.highwire.dtl.DTLVardef@12815a4org.highwire.dtl.DTLVardef@a4d718org.highwire.dtl.DTLVardef@256c10_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗