4.3 Article

Coarse-grained and all-atom modeling of structural states and transitions in hemoglobin

Journal

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume 81, Issue 2, Pages 240-252

Publisher

WILEY-BLACKWELL
DOI: 10.1002/prot.24180

Keywords

hemoglobin; coarse-grained modeling; elastic network model; normal mode analysis; transition pathway; reaction coordinate; accelerated molecular dynamics; wide-angle X-ray scattering

Funding

  1. American Heart Association [0835292N]
  2. National Science Foundation [0952736]
  3. Direct For Biological Sciences
  4. Div Of Molecular and Cellular Bioscience [0952736] Funding Source: National Science Foundation

Ask authors/readers for more resources

Hemoglobin (Hb), an oxygen-binding protein composed of four subunits (a1, a2, beta 1, and beta 2), is a well-known example of allosteric proteins that are capable of cooperative ligand binding. Despite decades of studies, the structural basis of its cooperativity remains controversial. In this study, we have integrated coarse-grained (CG) modeling, all-atom simulation, and structural data from X-ray crystallography and wide-angle X-ray scattering (WAXS), aiming to probe dynamic properties of the two structural states of Hb (T and R state) and the transitions between them. First, by analyzing the WAXS data of unliganded and liganded Hb, we have found that the structural ensemble of T or R state is dominated by one crystal structure of Hb with small contributions from other crystal structures of Hb. Second, we have used normal mode analysis to identify two distinct quaternary rotations between the a1 beta 1 and a2 beta 2 dimer, which drive the transitions between T and R state. We have also identified the hot-spot residues whose mutations are predicted to greatly change these quaternary motions. Third, we have generated a CG transition pathway between T and R state, which predicts a clear order of quaternary and tertiary changes involving a and beta subunits in Hb. Fourth, we have used the accelerated molecular dynamics to perform an all-atom simulation starting from the T state of Hb, and we have observed a transition toward the R state of Hb. Further analysis of crystal structural data and the all-atom simulation trajectory has corroborated the order of quaternary and tertiary changes predicted by CG modeling. Proteins 2013. (C) 2012 Wiley Periodicals, Inc.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Medicinal

Only a Subset of Normal Modes is Sufficient to Identify Linear Correlations in Proteins

Mustafa Tekpinar, Ahmet Yildirim

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2018)

Article Biochemistry & Molecular Biology

Structural evidence for an in trans base selection mechanism involving Loop1 in polymerase μ at an NHEJ double-strand break junction

Jerome Loc'h, Christina A. Gerodimos, Sandrine Rosario, Mustafa Tekpinar, Michael R. Lieber, Marc Delarue

JOURNAL OF BIOLOGICAL CHEMISTRY (2019)

Article Biochemistry & Molecular Biology

Molecular dynamics simulation of tropomyosin bound to actins/myosin in the closed and open states

Wenjun Zheng, Han Wen

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2019)

Article Biochemistry & Molecular Biology

Investigating dual Ca2+modulation of the ryanodine receptor 1 by molecular dynamics simulation

Wenjun Zheng, Han Wen

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2020)

Article Multidisciplinary Sciences

Cross-subunit interactions that stabilize open states mediate gating in NMDA receptors

Gary J. Iacobucci, Han Wen, Matthew Helou, Beiying Liu, Wenjun Zheng, Gabriela K. Popescu

Summary: NMDA receptors are excitatory channels crucial for central synapse physiology. The activation process involves a series of kinetically distinguishable, reversible steps, starting with glutamate binding and ligand-binding domain constriction, followed by transducing movement through linkers to open the gate. This study reveals a direct chemical interaction between GluN1-I642 and GluN2A-L550 as a structural change late in the activation reaction, stabilizing the receptors after opening.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)

Article Biochemistry & Molecular Biology

Predicting cryptic ligand binding sites based on normal modes guided conformational sampling

Wenjun Zheng

Summary: A fast and simple conformational sampling scheme guided by normal modes can accurately predict cryptic sites for small molecules binding in target proteins. Sampling along each of the lowest 30 modes is near optimal for adequately restructuring cryptic sites to be detected by existing pocket finding programs. The method achieves high prediction accuracy comparable to existing servers but is much faster and simpler, making it suitable for high-throughput processing of large datasets of protein structures at the genome scale.

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2021)

Article Biochemistry & Molecular Biology

Structural Studies of HNA Substrate Specificity in Mutants of an Archaeal DNA Polymerase Obtained by Directed Evolution

Camille Samson, Pierre Legrand, Mustafa Tekpinar, Jef Rozenski, Mikhail Abramov, Philipp Holliger, Vitor B. Pinheiro, Piet Herdewijn, Marc Delarue

BIOMOLECULES (2020)

Article Biochemistry & Molecular Biology

Impact of dimerization and N3 binding on molecular dynamics of SARS-CoV and SARS-CoV-2 main proteases

Mustafa Tekpinar, Ahmet Yildirim

Summary: Researchers conducted molecular dynamics simulations on SARS-CoV and SARS-CoV-2 main proteases and found that dimerization causes local structural changes and ligand binding induces key local changes in the dimeric forms. They also suggested that only one protomer is active in SARS-CoV-2 due to an allosteric interaction between the active sites.

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2022)

Article Biochemistry & Molecular Biology

Predicting lipid and ligand binding sites in TRPV1 channel by molecular dynamics simulation and machine learning

Wenjun Zheng, Han Wen

Summary: TRPV1 channel undergoes gating transition from closed to open state in response to physical and chemical stimuli, regulated by small-molecule ligands including lipids. Molecular dynamics simulations identified state-dependent binding sites and predicted top ligand-binding sites as important features for distinguishing closed vs open states, providing guidance for designing small-molecular drugs targeting TRPV1.

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2021)

Article Multidisciplinary Sciences

How cyanophage S-2L rejects adenine and incorporates 2-aminoadenine to saturate hydrogen bonding in its DNA

Dariusz Czernecki, Pierre Legrand, Mustafa Tekpinar, Sandrine Rosario, Pierre-Alexandre Kaminski, Marc Delarue

Summary: The cyanophage S-2L incorporates 2-aminoadenine (Z) instead of adenine (A) in its genome. The study provides an explanation for the absence of A in S-2L genome by identifying and characterising functionally and structurally both the HD phosphohydrolase (datZ) that specifically cleaves dATP, and the sole DNA primase-polymerase of S-2L, nonspecific of dATP or dZTP.

NATURE COMMUNICATIONS (2021)

Article Chemistry, Physical

Competing Roles of Ca2+ and Nonmuscle Myosin IIA on the Dynamics of the Metastasis-Associated Protein S100A4

Ahmet Yildirim, Mustafa Tekpinar, Tsjerk A. Wassenaar

Summary: The study reveals that Ca2+ binding enhances the dynamics of S100A4, regulating its interaction with NMIIA. NMIIA induces asymmetric dynamics between the chains of S100A4. In the absence of Ca2+, the interaction between S100A4 and NMIIA is weak.

JOURNAL OF PHYSICAL CHEMISTRY B (2021)

Correction Chemistry, Medicinal

Extracting Dynamical Correlations and Identifying Key Residues for Allosteric Communication in Proteins by correlationplus (vol 61, pg 4832, 2021)

Mustafa Tekpinar, Bertrand Neron, Marc Delarue

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2021)

Article Chemistry, Medicinal

Extracting Dynamical Correlations and Identifying Key Residues for Allosteric Communication in Proteins by correlationplus

Mustafa Tekpinar, Bertrand Neron, Marc Delarue

Summary: The Python package correlationplus is developed to extract dynamical pairwise correlations from large molecular dynamics trajectories or normal-mode analysis, identifying key residues and interactions in proteins. By combining dynamical coupling information with sequence coevolution data, it provides new insights about protein function and aids in better understanding of residues involved in allosteric regulation. The package can be easily installed with common methods like conda or pip, and docker images are also available for usage without installation.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2021)

Article Chemistry, Medicinal

Building Quantitative Bridges between Dynamics and Sequences of SARS-CoV-2 Main Protease and a Diverse Set of Thirty-Two Proteins

Ahmet Yildirim, Mustafa Tekpinar

Summary: Researchers studied the relationship between the conservation of amino acid sequences and protein dynamics in the SARS-CoV-2 main protease. They discovered a quantifiable similarity that is crucial for designing effective drugs and has larger implications for viral proteases and proteins in general.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Physical

Predicting allosteric sites using fast conformational sampling as guided by coarse-grained normal modes

Wenjun Zheng

Summary: In order to computationally identify hidden binding sites for allosteric modulators, a fast and simple conformational sampling scheme guided by coarse-grained normal modes solved from the elastic network models followed by atomistic backbone and sidechain reconstruction has been developed. This method can adequately restructure cryptic sites so they are detectable by pocket finding programs like Concavity, making it suitable for high-throughput screening of protein structures at the genome scale. Our method has been used to locate known allosteric sites and predict new promising allosteric sites, and it is both faster and more flexible compared to other sampling methods.

JOURNAL OF CHEMICAL PHYSICS (2023)

No Data Available