Correlated Response of Protein Side-Chain Fluctuations and Conformational Entropy to Ligand Binding.
Rajitha Rajeshwar TMoumita SaharayMicholas D SmithMarimuthu KrishnanPublished in: The journal of physical chemistry. B (2021)
The heterogeneous fast side-chain dynamics of proteins plays crucial roles in molecular recognition and binding. Site-specific NMR experiments quantify these motions by measuring the model-free order parameter (Oaxis2) on a scale of 0 (most flexible) to 1 (least flexible) for each methyl-containing residue of proteins. Here, we have examined ligand-induced variations in the fast side-chain dynamics and conformational entropy of calmodulin (CaM) using five different CaM-peptide complexes. Oaxis2 of CaM in the ligand-free (Oaxis,U2) and ligand-bound (Oaxis,B2) states are calculated from molecular dynamics trajectories and conformational energy surfaces obtained using the adaptive biasing force (ABF) method. ΔOaxis2 = Oaxis,B2 - Oaxis,U2 follows a Gaussian-like unimodal distribution whose second moment is a potential indicator of the binding affinity of these complexes. The probability for the binding-induced Oaxis,U2 → Oaxis,B2 transition decreases with increasing magnitude of ΔOaxis2, indicating that large flexibility changes are improbable for side chains of CaM after ligand binding. A linear correlation established between ΔOaxis2 and the conformational entropy change of the protein makes possible the determination of the conformational entropy of binding of protein-ligand complexes. The results not only underscore the functional importance of fast side-chain fluctuations but also highlight key motional and thermodynamic correlates of protein-ligand binding.
Keyphrases
- molecular dynamics
- single molecule
- molecular dynamics simulations
- density functional theory
- binding protein
- protein protein
- amino acid
- high glucose
- magnetic resonance
- diabetic rats
- depressive symptoms
- high resolution
- oxidative stress
- dna binding
- escherichia coli
- drug induced
- pseudomonas aeruginosa
- staphylococcus aureus
- cystic fibrosis
- transcription factor
- climate change
- solid phase extraction