Comparisons of ribonuclease HI homologs and mutants uncover a multi-state model for substrate recognition
Martin, J. A.; Palmer, A. G.
Show abstract
Ribonuclease HI (RNHI) non-specifically cleaves the RNA strand in RNA:DNA hybrid duplexes in a myriad of biological processes, including retroviral reverse transcription. Several RNHI homologs contain an extended domain, termed the handle region, that is critical to substrate binding. Nuclear magnetic resonance (NMR) spectroscopy and molecular dynamics (MD) simulations have suggested a kinetic model in which the handle region can exist in open (substrate-binding competent) or closed (substrate-binding incompetent) states in homologs containing arginine or lysine at position 88 (using sequence numbering of E. coli RNHI), while the handle region populates a state intermediate between the open and closed conformers in homologs with asparagine at residue 88 [Stafford, K. A., et al., PLoS Comput. Biol. 2013, 9, 1-10]. NMR parameters characterizing handle region dynamics are highly correlated with enzymatic activity for RNHI homologs with two-state (open/closed) handle regions [Martin, J. A., et al., Biochemistry 2020, 59, 3201-3205]. The work presented herein shows that homologs with one-state (intermediate) handle regions display distinct structural features compared with their two-state counterparts. Comparisons of RNHI homologs and site-directed mutants with arginine at position 88 support a kinetic model for handle region dynamics that includes 12 unique transitions between eight conformations. Overall, these findings present an example of the structure-function relationships of enzymes and spotlight the use of NMR spectroscopy and MD simulations in uncovering fine details of conformational preferences.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Kinetic Characterization and Computational Modeling of the Escherichia coli Heptosyltransferase II: Exploring the Role of Protein Dynamics in Catalysis for a GT-B Glycosyltransferase 95%
- A major disease-related point mutation in spastin alters dramatically the dynamics and allostery of the motor 95%
- A Disease-Associated Mutation Impedes PPIA Through Allosteric Dynamics Modulation 95%
Similar papers in this journal
- Helical Twists and beta-Turns in Structures at Serine-Proline Sequences: Stabilization of cis-Proline and type VI beta-turns via C-H/O interactions 95%
- Molecular Dynamics Analysis of a Flexible Loop at the Binding Interface of the SARS-CoV-2 Spike Protein Receptor-Binding Domain 94%
- Interfacial residues in protein-protein complexes are in the eyes of the beholder 94%
Similar papers in this journal
Similar papers in this journal
- Ligand Induced Conformational and Dynamical Changes in a GT-B Glycosyltransferase:Molecular Dynamic Simulations of Heptosyltransferase I Apo, Binary and Ternary Complexes 95%
- Markov State Models and Perturbation-Based Approaches Reveal Distinct Dynamic Signatures and Hidden Allosteric Pockets in the Emerging SARS-Cov-2 Spike Omicron Variants Complexes with the Host Receptor: The Interplay of Dynamics and Convergent Evolution Modulates Allostery and Functional Mechanisms 95%
- Target Recognition in Tandem WW Domains: Complex Structures for Parallel and Antiparallel Ligand Orientation in h-FBP21 Tandem WW 95%
Similar papers in this journal
- Microtubule severing enzymes oligomerization and allostery: a tale of two domains 95%
- An interaction between the transmembrane domains of Streptococcus pyogenes sortase A and its endogenous substrate M protein revealed by molecular dynamics simulations 95%
- Computational Analysis of Energy Landscapes Reveals Dynamic Features that Contribute to Binding of Inhibitors to CFTR-Associated Ligand 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.