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Roy M, Horovitz A. Distinguishing between concerted, sequential and barrierless conformational changes: Folding versus allostery. Curr Opin Struct Biol 2023; 83:102721. [PMID: 37922762 DOI: 10.1016/j.sbi.2023.102721] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/26/2023] [Indexed: 11/07/2023]
Abstract
Characterization of transition and intermediate states of reactions provides insights into their mechanisms and is often achieved through analysis of linear free energy relationships. Such an approach has been used extensively in protein folding studies but less so for analyzing allosteric transitions. Here, we point out analogies in ways to characterize pathways and intermediates in folding and allosteric transitions. Achieving an understanding of the mechanisms by which proteins undergo allosteric switching is important in many cases for obtaining insights into how they function.
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Affiliation(s)
- Mousam Roy
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Amnon Horovitz
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.
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2
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Dasgupta B, Tiwari SP. Explicit versus implicit consideration of binding partners in protein-protein complex to elucidate intrinsic dynamics. Biophys Rev 2022; 14:1379-1392. [PMID: 36659985 PMCID: PMC9842844 DOI: 10.1007/s12551-022-01026-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 11/27/2022] [Indexed: 12/23/2022] Open
Abstract
The binding of many proteins to their protein partners is tightly regulated via control of their relative intrinsic dynamics during the binding process, a phenomenon which can in turn be modulated. Therefore, investigating the intrinsic dynamics of proteins is necessary to understand function in a comprehensive way. By intrinsic dynamics herein, we principally refer to the vibrational signature of a protein molecule popularly obtained from normal modes or essential modes. For normal modes, one often considers that the molecule under investigation is a collection of springs in a solvent-free or implicit-solvent medium. In the context of a protein-binding partner, the analysis of vibration of the target protein is often complicated due to molecular interaction within the complex. Generally, it is assumed that the isolated bound conformation of the target protein captures the implicit effect of the binding partner on the intrinsic dynamics, therefore suggesting that any influence of the partner molecule is also already integrated. Such an assumption allows large-scale studies of the conservation of protein flexibility. However, in cases where a partner protein directly influences the vibration of the target via critical contacts at the protein-protein interface, the above assumption falls short of providing a detailed view. In this review article, we discuss the implications of considering the dynamics of a protein in a protein-protein complex, as modelled implicitly and explicitly with methods dependent on elastic network models. We further propose how such an explicit consideration can be applied to understand critical protein-protein contacts that can be targeted in future studies.
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Affiliation(s)
- Bhaskar Dasgupta
- Research Center for Advanced Science and Technology, University of Tokyo, 4-6-1 Komaba, Meguro-Ku, Tokyo, 153-8904 Japan
| | - Sandhya P. Tiwari
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima City, 1-3-1 Kagamiyama, Hiroshima, 739-8526 Japan
- Present Address: Institute of Protein Research, Osaka University, 3-2 Yamadaoka, Suita-Shi, Osaka, 565-0871 Japan
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3
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Tee WV, Tan ZW, Lee K, Guarnera E, Berezovsky IN. Exploring the Allosteric Territory of Protein Function. J Phys Chem B 2021; 125:3763-3780. [PMID: 33844527 DOI: 10.1021/acs.jpcb.1c00540] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
While the pervasiveness of allostery in proteins is commonly accepted, we further show the generic nature of allosteric mechanisms by analyzing here transmembrane ion-channel viroporin 3a and RNA-dependent RNA polymerase (RdRp) from SARS-CoV-2 along with metabolic enzymes isocitrate dehydrogenase 1 (IDH1) and fumarate hydratase (FH) implicated in cancers. Using the previously developed structure-based statistical mechanical model of allostery (SBSMMA), we share our experience in analyzing the allosteric signaling, predicting latent allosteric sites, inducing and tuning targeted allosteric response, and exploring the allosteric effects of mutations. This, yet incomplete list of phenomenology, forms a complex and unique allosteric territory of protein function, which should be thoroughly explored. We propose a generic computational framework, which not only allows one to obtain a comprehensive allosteric control over proteins but also provides an opportunity to approach the fragment-based design of allosteric effectors and drug candidates. The advantages of allosteric drugs over traditional orthosteric compounds, complemented by the emerging role of the allosteric effects of mutations in the expansion of the cancer mutational landscape and in the increased mutability of viral proteins, leave no choice besides further extensive studies of allosteric mechanisms and their biomedical implications.
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Affiliation(s)
- Wei-Ven Tee
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, 138671, Singapore.,Department of Biological Sciences (DBS), National University of Singapore (NUS), 8 Medical Drive, 117597, Singapore
| | - Zhen Wah Tan
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, 138671, Singapore
| | - Keene Lee
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, 138671, Singapore
| | - Enrico Guarnera
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, 138671, Singapore
| | - Igor N Berezovsky
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, 138671, Singapore.,Department of Biological Sciences (DBS), National University of Singapore (NUS), 8 Medical Drive, 117597, Singapore
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4
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Koculi E, Thirumalai D. Retardation of Folding Rates of Substrate Proteins in the Nanocage of GroEL. Biochemistry 2021; 60:460-464. [PMID: 33464880 DOI: 10.1021/acs.biochem.0c00903] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The Escherichia coli ATP-consuming chaperonin machinery, a complex between GroEL and GroES, has evolved to facilitate folding of substrate proteins (SPs) that cannot do so spontaneously. A series of kinetic experiments show that the SPs are encapsulated in the GroEL/ES nanocage for a short duration. If confinement of the SPs is the mechanism by which GroEL/ES facilitates folding, it follows that the assisted folding rate, relative to the bulk value, should always be enhanced. Here, we show that this is not the case for the folding of rhodanese in the presence of the full machinery of GroEL/ES and ATP. The assisted folding rate of rhodanese decreases. On the basis of our finding and those reported in other studies, we suggest that the ATP-consuming chaperonin machinery has evolved to optimize the product of the folding rate and the yield of the folded SPs on the biological time scale. Neither the rate nor the yield is separately maximized.
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Affiliation(s)
- Eda Koculi
- Department of Biology, Johns Hopkins University, 144 Mudd Hall, 3400 North Charles Street, Baltimore, Maryland 21218, United States
| | - D Thirumalai
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
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5
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Harder-Viddal C, Roshko RM, Stetefeld J. Energy flow and intersubunit signalling in GSAM: A non-equilibrium molecular dynamics study. Comput Struct Biotechnol J 2020; 18:1651-1663. [PMID: 32670505 PMCID: PMC7338781 DOI: 10.1016/j.csbj.2020.06.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 06/14/2020] [Accepted: 06/16/2020] [Indexed: 12/11/2022] Open
Abstract
Non-equilibrium molecular dynamics simulations of vibrational energy flow induced by the imposition of a thermal gradient have been performed on the μ2-dimeric enzyme glutamate-1-semialdehyde aminomutase (GSAM), the key enzyme in the biosynthesis of chlorophyll, in order to identify energy transport pathways and to elucidate their role as potential allosteric communication networks for coordinating functional dynamics, specifically the negative cooperativity observed in the motion of the two active site gating loops. Fully atomistic MD simulations of thermal diffusion were executed with a GROMACS simulation package on a fully solvated GSAM enzyme by heating various active site target ligands (initially, catalytic intermediates and cofactors) to 300K while holding the remainder of the protein and the solvent bath at 10K and monitoring the temperature T(t) of all the enzyme residues as a function of time over a 1ns observation window. Energy is observed to be deposited in a relatively small number of discrete chains of residues most of which contribute to specific structural or biochemical functionality. Thermal linkages between all thermally active chains were established by isolating a specific pair of chains and performing a thermal diffusion simulation on the pair, one held at 300K and the other at 10K, with the rest of the protein frozen in its initial atomic configuration and thus thermally unresponsive. Proceeding in this way, it was possible to map out multiple pathways of vibrational energy flow leading from one of the active sites through a network of contiguous residues, many of which were evolutionarily conserved and linked by hydrogen bonds, into the other active site and ultimately to the other gating loop.
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Affiliation(s)
- C Harder-Viddal
- Department of Chemistry and Physics, Canadian Mennonite University, 500 Shaftesbury Blvd, Winnipeg, Manitoba, Canada
| | - R M Roshko
- Department of Physics and Astronomy, University of Manitoba, 30A Sifton Rd, Winnipeg, Manitoba, Canada
| | - J Stetefeld
- Department of Chemistry, University of Manitoba, 144 Dysart Rd, Winnipeg, Manitoba, Canada.,Center for Oil and Gas Research and Development (COGRAD), Canada.,Department of Biochemistry and Medical Genetics, University of Manitoba, Canada.,Department of Human Anatomy and Cell Science, University of Manitoba, Canada
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6
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Leitner DM, Hyeon C, Reid KM. Water-mediated biomolecular dynamics and allostery. J Chem Phys 2020; 152:240901. [DOI: 10.1063/5.0011392] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Affiliation(s)
- David M. Leitner
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, USA
| | - Changbong Hyeon
- Korea Institute for Advanced Study, Seoul 02455, South Korea
| | - Korey M. Reid
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, USA
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Reid KM, Yamato T, Leitner DM. Variation of Energy Transfer Rates across Protein–Water Contacts with Equilibrium Structural Fluctuations of a Homodimeric Hemoglobin. J Phys Chem B 2020; 124:1148-1159. [DOI: 10.1021/acs.jpcb.9b11413] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Korey M. Reid
- Department of Chemistry, University of Nevada, Reno, Reno, Nevada 89557, United States
| | - Takahisa Yamato
- Graduate School of Science, Division of Material Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
| | - David M. Leitner
- Department of Chemistry, University of Nevada, Reno, Reno, Nevada 89557, United States
- Graduate School of Science, Division of Material Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
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8
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Thirumalai D, Lorimer GH, Hyeon C. Iterative annealing mechanism explains the functions of the GroEL and RNA chaperones. Protein Sci 2019; 29:360-377. [PMID: 31800116 DOI: 10.1002/pro.3795] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/21/2019] [Accepted: 11/22/2019] [Indexed: 12/16/2022]
Abstract
Molecular chaperones are ATP-consuming machines, which facilitate the folding of proteins and RNA molecules that are kinetically trapped in misfolded states. Unassisted folding occurs by the kinetic partitioning mechanism according to which folding to the native state, with low probability as well as misfolding to one of the many metastable states, with high probability, occur rapidly. GroEL is an all-purpose stochastic machine that assists misfolded substrate proteins to fold. The RNA chaperones such as CYT-19, which are ATP-consuming enzymes, help the folding of ribozymes that get trapped in metastable states for long times. GroEL does not interact with the folded proteins but CYT-19 disrupts both the folded and misfolded ribozymes. The structures of GroEL and RNA chaperones are strikingly different. Despite these differences, the iterative annealing mechanism (IAM) quantitatively explains all the available experimental data for assisted folding of proteins and ribozymes. Driven by ATP binding and hydrolysis and GroES binding, GroEL undergoes a catalytic cycle during which it samples three allosteric states, T (apo), R (ATP bound), and R″ (ADP bound). Analyses of the experimental data show that the efficiency of the GroEL-GroES machinery and mutants is determined by the resetting rate k R ″ → T , which is largest for the wild-type (WT) GroEL. Generalized IAM accurately predicts the folding kinetics of Tetrahymena ribozyme and its variants. Chaperones maximize the product of the folding rate and the steady-state native state fold by driving the substrates out of equilibrium. Neither the absolute yield nor the folding rate is optimized.
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Affiliation(s)
- D Thirumalai
- Department of Chemistry, The University of Texas at Austin, Austin, Texas
| | - George H Lorimer
- Biophysics Program, Institute for Physical Science and Technology, University of Maryland, College Park, Maryland
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9
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Gruber R, Mondal T, Horovitz A. GroEL Allostery Illuminated by a Relationship between the Hill Coefficient and the MWC Model. Biophys J 2019; 117:1915-1921. [PMID: 31699334 DOI: 10.1016/j.bpj.2019.10.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 10/06/2019] [Accepted: 10/15/2019] [Indexed: 11/30/2022] Open
Abstract
A fundamental problem that has hindered the use of the classic Monod-Wyman-Changuex (MWC) allosteric model since its introduction is that it has been difficult to determine the values of its parameters in a reliable manner because they are correlated with each other and sensitive to the data-fitting method. Consequently, experimental data are often fitted to the Hill equation, which provides a measure of cooperativity but no insights into its origin. In this work, we derived a general relationship between the value of the Hill coefficient and the parameters of the MWC model. It is shown that this relationship can be used to select the best estimate of the true combination of the MWC parameter values from all the possible ones found to fit the data. Here, this approach was applied to fits to the MWC model of curves of the fraction of GroEL molecules in the high-affinity (R) state for ATP as a function of ATP concentration. Such curves were collected at different temperatures, thereby providing insight into the hydrophobic effect associated with the ATP-promoted allosteric switch of GroEL. More generally, the relationship derived here should facilitate future thermodynamic analysis of other MWC-type allosteric systems.
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Affiliation(s)
- Ranit Gruber
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Tridib Mondal
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Amnon Horovitz
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel.
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10
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Leitner DM, Pandey HD, Reid KM. Energy Transport across Interfaces in Biomolecular Systems. J Phys Chem B 2019; 123:9507-9524. [DOI: 10.1021/acs.jpcb.9b07086] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- David M. Leitner
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, United States
| | - Hari Datt Pandey
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, United States
| | - Korey M. Reid
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, United States
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11
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On the perturbation nature of allostery: sites, mutations, and signal modulation. Curr Opin Struct Biol 2019; 56:18-27. [DOI: 10.1016/j.sbi.2018.10.008] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 10/27/2018] [Accepted: 10/30/2018] [Indexed: 10/27/2022]
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12
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Lorimer GH, Horovitz A, McLeish T. Allostery and molecular machines. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0173. [PMID: 29735727 DOI: 10.1098/rstb.2017.0173] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2018] [Indexed: 12/25/2022] Open
Affiliation(s)
- George H Lorimer
- Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 27042, USA
| | - Amnon Horovitz
- Department of Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Tom McLeish
- Department of Physics, University of York, Heslington, York YO10 5DD, UK
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13
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Yu M, Chen Y, Wang ZL, Liu Z. Fluctuation correlations as major determinants of structure- and dynamics-driven allosteric effects. Phys Chem Chem Phys 2019; 21:5200-5214. [DOI: 10.1039/c8cp07859a] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Both structure- and dynamics-driven allosteric effects are determined by the correlation of distance fluctuations in proteins.
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Affiliation(s)
- Miao Yu
- College of Chemistry and Molecular Engineering
- Peking University
- Beijing 100871
- China
| | - Yixin Chen
- College of Chemistry and Molecular Engineering
- Peking University
- Beijing 100871
- China
| | - Zi-Le Wang
- Department of Physics
- Tsinghua University
- Beijing 100084
- China
| | - Zhirong Liu
- College of Chemistry and Molecular Engineering
- Peking University
- Beijing 100871
- China
- Center for Quantitative Biology
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14
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Reid KM, Yamato T, Leitner DM. Scaling of Rates of Vibrational Energy Transfer in Proteins with Equilibrium Dynamics and Entropy. J Phys Chem B 2018; 122:9331-9339. [DOI: 10.1021/acs.jpcb.8b07552] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Korey M. Reid
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, United States
| | - Takahisa Yamato
- Graduate School of Science, Division of Material Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
| | - David M. Leitner
- Department of Chemistry, University of Nevada, Reno, Nevada 89557, United States
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Chen J, Thirumalai D. Interface Residues That Drive Allosteric Transitions Also Control the Assembly of l-Lactate Dehydrogenase. J Phys Chem B 2018; 122:11195-11205. [PMID: 30102042 DOI: 10.1021/acs.jpcb.8b06430] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The allosteric enzyme, l-lactate dehydrogenase (LDH), is activated by fructose 1,6-metaphosphate (FBP) to reduce pyruvate to lactate. The molecular details of the FBP-driven transition from the low affinity T state to the high affinity R state in LDH, a tetramer composed of identical subunits, are not known. The dynamics of the T → R allosteric transition, investigated using Brownian dynamics (BD) simulations of the self-organized polymer (SOP) model, revealed that coordinated rotations of the subunits drive the T → R transition. We used the structural perturbation method (SPM), which requires only the static structure, to identify the allostery wiring diagram (AWD), a network of residues that transmits signals across the tetramer, as LDH undergoes the T → R transition. Interestingly, the residues that play a major role in the dynamics, which are predominantly localized at the interfaces, coincide with the AWD identified using the SPM. Although the allosteric pathways are highly heterogeneous, on the basis of our simulations, we surmise that predominantly the conformational changes in the T → R transition start from the region near the active site, comprised of helix αC, helix α1/2G, helix α3G, and helix α2F, and proceed to other structural units, thus completing the global motion. Brownian dynamics simulations of the tetramer assembly, triggered by a temperature quench from the fully disrupted conformations, show that the bottleneck for assembly is the formation of the correct orientational registry between the subunits, requiring contacts between the interface residues. Surprisingly, these residues are part of the AWD, which was identified using the SPM. Taken together, our results show that LDH, and perhaps other multidomain proteins, may have evolved to stabilize distinct states of allosteric enzymes using precisely the same AWD that also controls the functionally relevant allosteric transitions.
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Affiliation(s)
- Jie Chen
- Biophysics Program, Institute for Physical Science and Technology , University of Maryland , College Park , Maryland 20742 , United States
| | - D Thirumalai
- Department of Chemistry , The University of Texas , Austin , Texas 78712 , United States
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