1
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Krevert C, Chavez D, Chatterjee S, Stelzl LS, Pütz S, Roeters SJ, Rudzinski JF, Fawzi NL, Girard M, Parekh SH, Hunger J. Liquid-Liquid Phase Separation of the Intrinsically Disordered Domain of the Fused in Sarcoma Protein Results in Substantial Slowing of Hydration Dynamics. J Phys Chem Lett 2023; 14:11224-11234. [PMID: 38056002 PMCID: PMC10726384 DOI: 10.1021/acs.jpclett.3c02790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/08/2023]
Abstract
Formation of liquid condensates plays a critical role in biology via localization of different components or via altered hydrodynamic transport, yet the hydrogen-bonding environment within condensates, pivotal for solvation, has remained elusive. We explore the hydrogen-bond dynamics within condensates formed by the low-complexity domain of the fused in sarcoma protein. Probing the hydrogen-bond dynamics sensed by condensate proteins using two-dimensional infrared spectroscopy of the protein amide I vibrations, we find that frequency-frequency correlations of the amide I vibration decay on a picosecond time scale. Interestingly, these dynamics are markedly slower for proteins in the condensate than in a homogeneous protein solution, indicative of different hydration dynamics. All-atom molecular dynamics simulations confirm that lifetimes of hydrogen-bonds between water and the protein are longer in the condensates than in the protein in solution. Altered hydrogen-bonding dynamics may contribute to unique solvation and reaction dynamics in such condensates.
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Affiliation(s)
- Carola
S. Krevert
- Department
of Molecular Spectroscopy, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Daniel Chavez
- Department
of Polymer Theory, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Sayantan Chatterjee
- Department
of Molecular Spectroscopy, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
- Department
of Biomedical Engineering, The University
of Texas at Austin, 107
West Dean Keeton Street, Stop C0800, Austin, Texas 78712, United States
| | - Lukas S. Stelzl
- KOMET 1,
Institute of Physics, Johannes Gutenberg
University, Staudingerweg 7, 55099 Mainz, Germany
- Faculty of
Biology, Johannes Gutenberg University Mainz, Gresemundweg 2, 55128 Mainz, Germany
- Institute
of Molecular Biology (IMB), Ackermannweg 2, 55128 Mainz, Germany
| | - Sabine Pütz
- Department
of Molecular Spectroscopy, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Steven J. Roeters
- Department
of Chemistry, Aarhus University, Langelandsgade 140, 8000 Aarhus C, Denmark
- Department
of Anatomy and Neurosciences, Amsterdam
UMC, Vrije Universiteit, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands
| | - Joseph F. Rudzinski
- Department
of Polymer Theory, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
- IRIS
Adlershof, Humboldt-Universität zu
Berlin, Zum Großen
Windkanal 2, 12489 Berlin, Germany
| | - Nicolas L. Fawzi
- Department
of Molecular Biology, Cell Biology, and Biochemistry, Brown University, 70 Ship Street, Providence, Rhode Island 02912, United States
| | - Martin Girard
- Department
of Polymer Theory, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Sapun H. Parekh
- Department
of Molecular Spectroscopy, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
- Department
of Biomedical Engineering, The University
of Texas at Austin, 107
West Dean Keeton Street, Stop C0800, Austin, Texas 78712, United States
| | - Johannes Hunger
- Department
of Molecular Spectroscopy, Max Planck Institute
for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
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2
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Drici N. The influence of the hydrogen-bond network on the structure and dynamics of the RAPRKKG heptapeptide and its mutants. J Mol Graph Model 2023; 125:108598. [PMID: 37586130 DOI: 10.1016/j.jmgm.2023.108598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/02/2023] [Accepted: 08/08/2023] [Indexed: 08/18/2023]
Abstract
The structural behaviour of the RAPRKKG heptapeptide after individual or multiple mutations was inspected through molecular dynamics simulation. The nature of the mutations provided information on the flexibility of the heptapeptide and on how water molecules establish hydrogen bonds with it. The structural behaviour of the wild-type and the mutated structures were measured through the analysis of protein‒protein and protein‒solvent hydrogen bonds. The conformational behaviours of the different structures were analysed through free energy landscape analysis. The flexibility characteristics of the mutants seem to depend on the reorganization of water molecules and their static or dynamic behaviour around amino acid side chains.
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Affiliation(s)
- Nedjoua Drici
- University of Mostaganem, Abdelhamid Ibn Badis, Faculty of Exact Sciences and Informatics, Chemin des cretes ex INES, Mostaganem, 27000, Algeria; Laboratoire de Chimie Physique Macromoleculaire LCPM, University of Oran1 Ahmed benbella, Oran, 31000, Algeria.
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3
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Krevert CS, Gunkel L, Haese C, Hunger J. Ion-specific binding of cations to the carboxylate and of anions to the amide of alanylalanine. Commun Chem 2022; 5:173. [PMID: 36697920 PMCID: PMC9814750 DOI: 10.1038/s42004-022-00789-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Studies of ion-specific effects on oligopeptides have aided our understanding of Hofmeister effects on proteins, yet the use of different model peptides and different experimental sensitivities have led to conflicting conclusions. To resolve these controversies, we study a small model peptide, L-Alanyl-L-alanine (2Ala), carrying all fundamental chemical protein motifs: C-terminus, amide bond, and N-terminus. We elucidate the effect of GdmCl, LiCl, KCl, KI, and KSCN by combining dielectric relaxation, nuclear magnetic resonance (1H-NMR), and (two-dimensional) infrared spectroscopy. Our dielectric results show that all ions reduce the rotational mobility of 2Ala, yet the magnitude of the reduction is larger for denaturing cations than for anions. The NMR chemical shifts of the amide group are particularly sensitive to denaturing anions, indicative of anion-amide interactions. Infrared experiments reveal that LiCl alters the spectral homogeneity and dynamics of the carboxylate, but not the amide group. Interaction of LiCl with the negatively charged pole of 2Ala, the COO- group, can explain the marked cationic effect on dipolar rotation, while interaction of anions between the poles, at the amide, only weakly perturbs dipolar dynamics. As such, our results provide a unifying view on ions' preferential interaction sites at 2Ala and help rationalize Hofmeister effects on proteins.
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Affiliation(s)
- Carola Sophie Krevert
- grid.419547.a0000 0001 1010 1663Department of Molecular Spectroscopy, Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Lucas Gunkel
- grid.419547.a0000 0001 1010 1663Department of Molecular Spectroscopy, Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Constantin Haese
- grid.419547.a0000 0001 1010 1663Department of Molecular Electronics, Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Johannes Hunger
- grid.419547.a0000 0001 1010 1663Department of Molecular Spectroscopy, Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
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4
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Feng CJ, Sinitskiy A, Pande V, Tokmakoff A. Computational IR Spectroscopy of Insulin Dimer Structure and Conformational Heterogeneity. J Phys Chem B 2021; 125:4620-4633. [PMID: 33929849 DOI: 10.1021/acs.jpcb.1c00399] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
We have investigated the structure and conformational dynamics of insulin dimer using a Markov state model (MSM) built from extensive unbiased atomistic molecular dynamics simulations and performed infrared spectral simulations of the insulin MSM to describe how structural variation within the dimer can be experimentally resolved. Our model reveals two significant conformations to the dimer: a dominant native state consistent with other experimental structures of the dimer and a twisted state with a structure that appears to reflect a ∼55° clockwise rotation of the native dimer interface. The twisted state primarily influences the contacts involving the C-terminus of insulin's B chain, shifting the registry of its intermolecular hydrogen bonds and reorganizing its side-chain packing. The MSM kinetics predict that these configurations exchange on a 14 μs time scale, largely passing through two Markov states with a solvated dimer interface. Computational amide I spectroscopy of site-specifically 13C18O labeled amides indicates that the native and twisted conformation can be distinguished through a series of single and dual labels involving the B24F, B25F, and B26Y residues. Additional structural heterogeneity and disorder is observed within the native and twisted states, and amide I spectroscopy can also be used to gain insight into this variation. This study will provide important interpretive tools for IR spectroscopic investigations of insulin structure and transient IR kinetics experiments studying the conformational dynamics of insulin dimer.
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Affiliation(s)
- Chi-Jui Feng
- Department of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois 60637, United States
| | - Anton Sinitskiy
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Vijay Pande
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Andrei Tokmakoff
- Department of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois 60637, United States
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5
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Cendagorta JR, Tolpin J, Schneider E, Topper RQ, Tuckerman ME. Comparison of the Performance of Machine Learning Models in Representing High-Dimensional Free Energy Surfaces and Generating Observables. J Phys Chem B 2020; 124:3647-3660. [PMID: 32275148 DOI: 10.1021/acs.jpcb.0c01218] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Free energy surfaces of chemical and physical systems are often generated using a popular class of enhanced sampling methods that target a set of collective variables (CVs) chosen to distinguish the characteristic features of these surfaces. While some of these approaches are typically limited to low (∼1-3)-dimensional CV subspaces, methods such as driven adiabatic free-energy dynamics/temperature-accelerated molecular dynamics have been shown to be capable of generating free energy surfaces of quite high dimension by sampling the associated marginal probability distribution via full sweeps over the CV landscape. These approaches repeatedly visit conformational basins, producing a scattering of points within the basins on each visit. Consequently, they are particularly amenable to synergistic combination with regression machine learning methods for filling in the surfaces between the sampled points and for providing a compact and continuous (or semicontinuous) representation of the surfaces that can be easily stored and used for further computation of observable properties. Given the central role of machine learning techniques in this combined approach, it is timely to provide a detailed comparison of the performance of different machine learning strategies and models, including neural networks, kernel ridge regression, support vector machines, and weighted neighbor schemes, for their ability to learn these high-dimensional surfaces as a function of the amount of sampled training data and, once trained, to subsequently generate accurate ensemble averages corresponding to observable properties of the systems. In this article, we perform such a comparison on a set of oligopeptides, in both gas and aqueous phases, corresponding to CV spaces of 2-10 dimensions and assess their ability to provide a global representation of the free energy surfaces and to generate accurate ensemble averages.
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Affiliation(s)
- Joseph R Cendagorta
- Department of Chemistry, New York University, New York, New York 10003, United States
| | - Jocelyn Tolpin
- Department of Statistics, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Elia Schneider
- Department of Chemistry, New York University, New York, New York 10003, United States
| | - Robert Q Topper
- Department of Chemistry, The Cooper Union for the Advancement of Science and Art, New York, New York 10003, United States
| | - Mark E Tuckerman
- Department of Chemistry, New York University, New York, New York 10003, United States.,Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, United States.,NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China
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6
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Dong X, Wang S, Yu P, Yang F, Zhao J, Wu LZ, Tung CH, Wang J. Ultrafast Vibrational Energy Transfer through the Covalent Bond and Intra- and Intermolecular Hydrogen Bonds in a Supramolecular Dimer by Two-Dimensional Infrared Spectroscopy. J Phys Chem B 2020; 124:544-555. [PMID: 31873023 DOI: 10.1021/acs.jpcb.9b10431] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In this work, the structural fluctuations and vibrational energy transfer dynamics in a supramolecular homodimer model, which is composed of 2-(9-anthracene)ureido-6-(1-undecyl)-4[1H]-pyrimidinone (UPAn) with quadruple intermolecular and single intramolecular hydrogen bonds (HBs), have been examined using ultrafast two-dimensional infrared (2D IR) and steady-state IR spectroscopies. A less structurally fluctuating intermolecular HB is found between the pyrimidinone C═O and ureido N-H groups. However, a larger structurally fluctuating intramolecular HB is suggested by the equilibrium and dynamical line-shape measurements of the ureido C═O stretch. Further, dynamical time-dependent 2D IR diagonal and off-diagonal signals show that intra- and intermolecular vibrational energy transfer processes occur on the picosecond timescale, where the latter is more efficient due to intermolecular hydrogen bonding interaction and through-space interaction.
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Affiliation(s)
- Xueqian Dong
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P. R. China
| | - Sumin Wang
- Key Laboratory of Photochemical Conversion and Optoelectronic Materials , Technical Institute of Physics and Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China.,School of Materials and Chemical Engineering , Xi'an Technological University , Xi'an 710021 , P. R. China
| | - Pengyun Yu
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P. R. China
| | - Fan Yang
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China
| | - Juan Zhao
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P. R. China
| | - Li-Zhu Wu
- University of Chinese Academy of Sciences , Beijing 100049 , P. R. China.,Key Laboratory of Photochemical Conversion and Optoelectronic Materials , Technical Institute of Physics and Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China
| | - Chen-Ho Tung
- University of Chinese Academy of Sciences , Beijing 100049 , P. R. China.,Key Laboratory of Photochemical Conversion and Optoelectronic Materials , Technical Institute of Physics and Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China
| | - Jianping Wang
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P. R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P. R. China
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7
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Aggregation selectivity of amyloid
β
1‐11
peptide in aqueous ionic liquid solutions. Pept Sci (Hoboken) 2019. [DOI: 10.1002/pep2.24138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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8
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Feng CJ, Dhayalan B, Tokmakoff A. Refinement of Peptide Conformational Ensembles by 2D IR Spectroscopy: Application to Ala‒Ala‒Ala. Biophys J 2019; 114:2820-2832. [PMID: 29925019 DOI: 10.1016/j.bpj.2018.05.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 04/27/2018] [Accepted: 05/02/2018] [Indexed: 10/28/2022] Open
Abstract
Characterizing ensembles of intrinsically disordered proteins is experimentally challenging because of the ill-conditioned nature of ensemble determination with limited data and the intrinsic fast dynamics of the conformational ensemble. Amide I two-dimensional infrared (2D IR) spectroscopy has picosecond time resolution to freeze structural ensembles as needed for probing disordered-protein ensembles and conformational dynamics. Also, developments in amide I computational spectroscopy now allow a quantitative and direct prediction of amide I spectra based on conformational distributions drawn from molecular dynamics simulations, providing a route to ensemble refinement against experimental spectra. We performed a Bayesian ensemble refinement method on Ala-Ala-Ala against isotope-edited Fourier-transform infrared spectroscopy and 2D IR spectroscopy and tested potential factors affecting the quality of ensemble refinements. We found that isotope-edited 2D IR spectroscopy provides a stringent constraint on Ala-Ala-Ala conformations and returns consistent conformational ensembles with the dominant ppII conformer across varying prior distributions from many molecular dynamics force fields and water models. The dominant factor influencing ensemble refinements is the systematic frequency uncertainty from spectroscopic maps. However, the uncertainty of conformer populations can be significantly reduced by incorporating 2D IR spectra in addition to traditional Fourier-transform infrared spectra. Bayesian ensemble refinement against isotope-edited 2D IR spectroscopy thus provides a route to probe equilibrium-complex protein ensembles and potentially nonequilibrium conformational dynamics.
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Affiliation(s)
- Chi-Jui Feng
- Department of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois
| | - Balamurugan Dhayalan
- Department of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois
| | - Andrei Tokmakoff
- Department of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois.
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9
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Köfinger J, Stelzl LS, Reuter K, Allande C, Reichel K, Hummer G. Efficient Ensemble Refinement by Reweighting. J Chem Theory Comput 2019; 15:3390-3401. [PMID: 30939006 PMCID: PMC6727217 DOI: 10.1021/acs.jctc.8b01231] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Indexed: 01/24/2023]
Abstract
Ensemble refinement produces structural ensembles of flexible and dynamic biomolecules by integrating experimental data and molecular simulations. Here we present two efficient numerical methods to solve the computationally challenging maximum-entropy problem arising from a Bayesian formulation of ensemble refinement. Recasting the resulting constrained weight optimization problem into an unconstrained form enables the use of gradient-based algorithms. In two complementary formulations that differ in their dimensionality, we optimize either the log-weights directly or the generalized forces appearing in the explicit analytical form of the solution. We first demonstrate the robustness, accuracy, and efficiency of the two methods using synthetic data. We then use NMR J-couplings to reweight an all-atom molecular dynamics simulation ensemble of the disordered peptide Ala-5 simulated with the AMBER99SB*-ildn-q force field. After reweighting, we find a consistent increase in the population of the polyproline-II conformations and a decrease of α-helical-like conformations. Ensemble refinement makes it possible to infer detailed structural models for biomolecules exhibiting significant dynamics, such as intrinsically disordered proteins, by combining input from experiment and simulation in a balanced manner.
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Affiliation(s)
- Jürgen Köfinger
- Department
of Theoretical Biophysics, Max Planck Institute
of Biophysics, Max-von-Laue-Straße
3, 60438 Frankfurt
am Main, Germany
| | - Lukas S. Stelzl
- Department
of Theoretical Biophysics, Max Planck Institute
of Biophysics, Max-von-Laue-Straße
3, 60438 Frankfurt
am Main, Germany
| | - Klaus Reuter
- Max Planck Computing and
Data Facility, Gießenbachstr. 2, 85748 Garching, Germany
| | - César Allande
- Max Planck Computing and
Data Facility, Gießenbachstr. 2, 85748 Garching, Germany
| | - Katrin Reichel
- Department
of Theoretical Biophysics, Max Planck Institute
of Biophysics, Max-von-Laue-Straße
3, 60438 Frankfurt
am Main, Germany
| | - Gerhard Hummer
- Department
of Theoretical Biophysics, Max Planck Institute
of Biophysics, Max-von-Laue-Straße
3, 60438 Frankfurt
am Main, Germany
- Institute for Biophysics, Goethe University, 60438 Frankfurt
am Main, Germany
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10
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Feng M, Zhao J, Yu P, Wang J. Linear and Nonlinear Infrared Spectroscopies Reveal Detailed Solute-Solvent Dynamic Interactions of a Nitrosyl Ruthenium Complex in Solution. J Phys Chem B 2018; 122:9225-9235. [PMID: 30200757 DOI: 10.1021/acs.jpcb.8b07247] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In this work, the solvation of a nitrosyl ruthenium complex, [(CH3)4N][RuCl3(qn)(NO)] (with qn = deprotonated 8-hydroxyquinoline), which is a potential NO-releasing molecule in the bio-environment, was studied in two bio-friendly solvents, namely deuterated dimethyl sulfoxide (dDMSO) and water (D2O). A blue-shifted NO stretching frequency was observed in water with respect to that in dDMSO, which was believed to be due to ligand-solvent hydrogen-bonding interactions, one N═O···D and particularly three Ru-Cl···D, that show competing effects on the NO bond length. The dynamic differences of the NO stretch in these two solvents were further revealed by transient pump-probe IR and two-dimensional IR results: faster vibrational relaxation and faster spectral diffusion (SD) were observed in D2O, confirming stronger solvent-solute interaction and also faster solvent structural dynamics in D2O than in DMSO. Further, a significant non-decaying residual in the SD dynamics was observed in D2O but not in DMSO, suggesting the formation of a stable solvation shell in water due to strong multi-site ligand-solvent hydrogen-bonding interactions, which is in agreement with the observed blue-shifted NO stretching frequency. This work demonstrates that small solvent molecules such as water can form a relatively rigid solvation shell for certain transition metal complexes due to cooperative ligand-solvent interactions and show slower dynamics.
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Affiliation(s)
- Minjun Feng
- Beijing National Laboratory for Molecular Sciences, Molecular Reaction Dynamics Laboratory, Institute of Chemistry, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P.R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P.R. China
| | - Juan Zhao
- Beijing National Laboratory for Molecular Sciences, Molecular Reaction Dynamics Laboratory, Institute of Chemistry, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P.R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P.R. China
| | - Pengyun Yu
- Beijing National Laboratory for Molecular Sciences, Molecular Reaction Dynamics Laboratory, Institute of Chemistry, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P.R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P.R. China
| | - Jianping Wang
- Beijing National Laboratory for Molecular Sciences, Molecular Reaction Dynamics Laboratory, Institute of Chemistry, CAS Research/Education Center for Excellence in Molecular Sciences , Institute of Chemistry, Chinese Academy of Sciences , Beijing 100190 , P.R. China.,University of Chinese Academy of Sciences , Beijing 100049 , P.R. China
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11
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Zhang Y, Zhou Y, He L, Fu Y, Zhang W, Hu J, Shi Z. Hydration effects on Leu's polyproline II population in AcLXPNH 2. Chem Commun (Camb) 2018; 54:5764-5767. [PMID: 29781018 DOI: 10.1039/c8cc02402b] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Hydration is important in many fundamental processes. To investigate hydration effects on peptide conformations, we examined neighboring-residue and side-chain blocking effects in AcLXPNH2. A correlation between two effects suggests that hydration stabilizes PII more than β-structures. Our results are important for understanding the hydration effects on peptide conformations and hydration-forces in general.
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Affiliation(s)
- Yan Zhang
- School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, P. R. China.
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12
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Hassan I, Donati L, Stensitzki T, Keller BG, Heyne K, Imhof P. The vibrational spectrum of the hydrated alanine-leucine peptide in the amide region from IR experiments and first principles calculations. Chem Phys Lett 2018. [DOI: 10.1016/j.cplett.2018.03.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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13
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Yang F, Dong X, Feng M, Zhao J, Wang J. Central-metal effect on intramolecular vibrational energy transfer of M(CO) 5Br (M = Mn, Re) probed by two-dimensional infrared spectroscopy. Phys Chem Chem Phys 2018; 20:3637-3647. [PMID: 29340363 DOI: 10.1039/c7cp05117d] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Vibrational energy transfer in transition metal complexes with flexible structures in condensed phases is of central importance to catalytical chemistry processes. In this work, two molecules with different metal atoms, M(CO)5Br (where M = Mn, Re), were used as model systems, and their axial and radial carbonyl stretching modes as infrared probes. The central-metal effect on intramolecular vibrational energy redistribution (IVR) in M(CO)5Br was investigated in polar and nonpolar solvents. The linear infrared (IR) peak splitting between carbonyl vibrations increases as the metal atom changes from Mn to Re. The waiting-time dependent two-dimensional infrared diagonal- and off-diagonal peak amplitudes reveal a faster IVR process in Re(CO)5Br than in Mn(CO)5Br. With the aid of density functional theory (DFT) calculations, the central-metal effect on IVR time linearly correlates with the vibrational coupling strength between the two involved modes. In addition, the polar solvent is found to accelerate the IVR process by affecting the anharmonic vibrational potentials of a solute vibration mode.
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Affiliation(s)
- Fan Yang
- Beijing National Laboratory for Molecular Sciences, Molecular Reaction Dynamics Laboratory, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
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14
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Zang J, Feng M, Zhao J, Wang J. Micellar and bicontinuous microemulsion structures show different solute–solvent interactions: a case study using ultrafast nonlinear infrared spectroscopy. Phys Chem Chem Phys 2018; 20:19938-19949. [DOI: 10.1039/c8cp01024b] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Using aqueous and organic probes to simultaneously explore the structural dynamics of reverse micellar and bicontinuous microemulsion structures.
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Affiliation(s)
- Jinger Zang
- Beijing National Laboratory for Molecular Sciences
- Molecular Reaction Dynamics Laboratory
- CAS Research/Education Center for Excellence in Molecular Sciences
- Institute of Chemistry
- Chinese Academy of Sciences
| | - Minjun Feng
- Beijing National Laboratory for Molecular Sciences
- Molecular Reaction Dynamics Laboratory
- CAS Research/Education Center for Excellence in Molecular Sciences
- Institute of Chemistry
- Chinese Academy of Sciences
| | - Juan Zhao
- Beijing National Laboratory for Molecular Sciences
- Molecular Reaction Dynamics Laboratory
- CAS Research/Education Center for Excellence in Molecular Sciences
- Institute of Chemistry
- Chinese Academy of Sciences
| | - Jianping Wang
- Beijing National Laboratory for Molecular Sciences
- Molecular Reaction Dynamics Laboratory
- CAS Research/Education Center for Excellence in Molecular Sciences
- Institute of Chemistry
- Chinese Academy of Sciences
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15
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He X, Yu P, Zhao J, Wang J. Efficient Vibrational Energy Transfer through Covalent Bond in Indigo Carmine Revealed by Nonlinear IR Spectroscopy. J Phys Chem B 2017; 121:9411-9421. [DOI: 10.1021/acs.jpcb.7b06766] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Xuemei He
- Beijing
National Laboratory for Molecular Sciences, Molecular Reaction Dynamics
Laboratory, CAS Research/Education Center for Excellence in Molecular
Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Pengyun Yu
- Beijing
National Laboratory for Molecular Sciences, Molecular Reaction Dynamics
Laboratory, CAS Research/Education Center for Excellence in Molecular
Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Juan Zhao
- Beijing
National Laboratory for Molecular Sciences, Molecular Reaction Dynamics
Laboratory, CAS Research/Education Center for Excellence in Molecular
Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Jianping Wang
- Beijing
National Laboratory for Molecular Sciences, Molecular Reaction Dynamics
Laboratory, CAS Research/Education Center for Excellence in Molecular
Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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