journal article·2016-03-01Open access

Thermal motion in proteins: Large effects on the time-averaged interaction energies

Martin Goethe, Ignacio Fita, J. Miguel Rubi

AIP Advances· Volume 6· Issue 3

Abstract

As a consequence of thermal motion, inter-atomic distances in proteins fluctuate strongly around their average values, and hence, also interaction energies (i.e. the pair-potentials evaluated at the fluctuating distances) are not constant in time but exhibit pronounced fluctuations. These fluctuations cause that time-averaged interaction energies do generally not coincide with the energy values obtained by evaluating the pair-potentials at the average distances. More precisely, time-averaged interaction energies behave typically smoother in terms of the average distance than the corresponding pair-potentials. This averaging effect is referred to as the thermal smoothing effect. Here, we estimate the strength of the thermal smoothing effect on the Lennard-Jones pair-potential for globular proteins at ambient conditions using x-ray diffraction and simulation data of a representative set of proteins. For specific atom species, we find a significant smoothing effect where the time-averaged interaction energy of a single atom pair can differ by various tens of cal/mol from the Lennard-Jones potential at the average distance. Importantly, we observe a dependency of the effect on the local environment of the involved atoms. The effect is typically weaker for bulky backbone atoms in beta sheets than for side-chain atoms belonging to other secondary structure on the surface of the protein. The results of this work have important practical implications for protein software relying on free energy expressions. We show that the accuracy of free energy expressions can largely be increased by introducing environment specific Lennard-Jones parameters accounting for the fact that the typical thermal motion of protein atoms depends strongly on their local environment.
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Research context

OpenAlex topics: Protein Structure and Dynamics · Enzyme Structure and Function · Spectroscopy and Quantum Chemical Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Universitat de Barcelona 1 Departament de Física Fonamental, , Martí i Franquès 1, 08028 Barcelona, Spain

Institut de Biologia Molecular de Barcelona 2 , Baldiri Reixac 10, 08028 Barcelona, Spain

References (47)

Show source-provided references
1. Predicting novel protein folds by using FRAGFOLD10.1002/prot.1171 ↗
2. Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations10.1016/S0022-2836(03)00670-3 ↗
3. The Xplor-NIH NMR molecular structure determination package10.1016/S1090-7807(02)00014-9 ↗
4. Protein structure prediction using Rosetta.10.1016/S0076-6879(04)83004-0 ↗
5. Automated NMR structure calculation with CYANA10.1385/1592598099 ↗
6. Energy Functions for Protein Design: Adjustment with Protein-Protein Complex Affinities, Models for the Unfolded State, and Negative Design of Solubility and Specificity10.1016/j.jmb.2004.12.019 ↗
7. The FoldX web server: an online force field10.1093/nar/gki387 ↗
8. IPRO: An Iterative Computational Protein Library Redesign and Optimization Procedure10.1529/biophysj.105.079277 ↗
9. ZRANK: Reranking protein docking predictions with an optimized energy function10.1002/prot.21373 ↗
10. Version 1.2 of the Crystallography and NMR system10.1038/nprot.2007.406 ↗
11. PROTDES: CHARMM toolbox for computational protein design10.1007/s11693-009-9026-7 ↗
12. PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides10.1093/nar/gks419 ↗
13. Effective Energy Function for Proteins in Solution10.1002/(SICI)1097-0134(19990501)35:2<133::AID-PROT1>3.0.CO;2-N ↗
14. Vibrational Entropy of a Protein: Large Differences between Distinct Conformations10.1021/ct500696p ↗
15. Dynamics May Significantly Influence the Estimation of Interatomic Distances in Biomolecular X-ray Structures10.1016/j.jmb.2011.05.033 ↗
16. On the derivation of dynamic information from diffraction data
17. BDB: Databank of PDB files with consistent B-factors10.1093/protein/gzu044 ↗
18. Identification of slow correlated motions in proteins using residual dipolar and hydrogen-bond scalar couplings10.1073/pnas.0505129102 ↗
19. The Backrub Motion: How Protein Backbone Shrugs When a Sidechain Dances10.1016/j.str.2005.10.007 ↗
20. Polypeptide Motions Are Dominated by Peptide Group Oscillations Resulting from Dihedral Angle Correlations between Nearest Neighbors10.1021/bi061575x ↗
21. Long-Range Intra-Protein Communication Can Be Transmitted by Correlated Side-Chain Fluctuations Alone10.1371/journal.pcbi.1002168 ↗
22. Correlated motions are a fundamental property of beta-sheets10.1038/ncomms5070 ↗
23. 1987
24. Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential10.1016/S1359-0278(97)00024-2 ↗
25. Analysis of temperature factor distribution in high-resolution protein structures10.1002/pro.5560061208 ↗
26. Accessibility to internal cavities and ligand binding sites monitored by protein crystallographic thermal factors10.1002/(SICI)1097-0134(19980501)31:2<201::AID-PROT9>3.0.CO;2-O ↗
27. Flexibility and packing in proteins10.1073/pnas.032522499 ↗
28. Dynameomics: Large-scale assessment of native protein flexibility10.1110/ps.037473.108 ↗
29. On the relation between residue flexibility and local solvent accessibility in proteins10.1002/prot.22375 ↗
30. A consensus view of protein dynamics10.1073/pnas.0605534104 ↗
31. See supplementary material at http://dx.doi.org/10.1063/1.4945012 for a detailed description of the rescaling scheme, additional plots and tables, and a proof of concept illustration.
32. Fluctuations and Correlations in Crystalline Protein Dynamics: A Simulation Analysis of Staphylococcal Nuclease10.1529/biophysj.104.056101 ↗
33. Amber 2015 Reference Manual, available at http://ambermd.org.
34. Automated electron-density sampling reveals widespread conformational polymorphism in proteins10.1002/pro.423 ↗
35. Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids10.1021/ja9621760 ↗
36. Simulation of activation free energies in molecular systems10.1063/1.472061 ↗
37. Inhomogeneous Fluid Approach to Solvation Thermodynamics. 1. Theory10.1021/jp9723574 ↗
38. Semianalytical treatment of solvation for molecular mechanics and dynamics10.1021/ja00172a038 ↗
39. Accurate Calculation of Hydration Free Energies Using Macroscopic Solvent Models10.1021/j100058a043 ↗
40. How Well Does a Restrained Electrostatic Potential (RESP) Model Perform in Calculating Conformational Energies of Organic and Biological Molecules?10.1002/1096-987X(200009)21:12<1049::AID-JCC3>3.0.CO;2-F ↗
41. MoDEL (Molecular Dynamics Extended Library): A Database of Atomistic Molecular Dynamics Trajectories10.1016/j.str.2010.07.013 ↗
42. Essential Dynamics: A Tool for Efficient Trajectory Compression and Management10.1021/ct050285b ↗
43. Mdtraj: a modern, open library for the analysis of molecular dynamics trajectories10.1101/008896 ↗
44. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features10.1002/bip.360221211 ↗
45. 1993
46. The interpretation of protein structures: estimation of static accessibility10.1016/0022-2836(71)90324-X ↗
47. 1992