4.5 Article

Contribution of the Intrinsic Mechanical Energy of the Phosphodiester Linkage to the Relative Stability of the A, BI, and BII Forms of Duplex DNA

期刊

JOURNAL OF PHYSICAL CHEMISTRY B
卷 113, 期 10, 页码 3235-3244

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jp8102782

关键词

-

资金

  1. NIH [GM051501]

向作者/读者索取更多资源

Canonical forms of duplex DNA are known to sample well-defined regions of the alpha, beta, gamma, epsilon, and zeta dihedral angles that define the conformation of the phosphodiester linkage in the backbone of oligonucleotides. While extensive studies of base composition and base sequence dependent effects on the sampling of the A, B-I, and B-II canonical forms of duplex DNA have been presented, our understanding of the intrinsic contribution of the five dihedral degrees of freedom associated with the phosphodiester linkage to the conformational properties of duplex DNA is still limited. To better understand this contribution, ab initio quantum mechanical (QM) calculations were performed on a model compound representative of the phosphodiester backbone to systematically sample the energetics about the alpha, beta, gamma, epsilon, and zeta and dihedral angles relevant to the conformational properties of duplex DNA. Low-energy regions of dihedral potential energy surfaces are shown to correlate with the regions of dihedral space sampled in experimental crystal structures of the canonical forms of DNA, validating the utility of the model compound and emphasizing the contribution of the intrinsic mechanical properties of the phosphodiester backbone to the conformational properties of duplex DNA. Those contributions include the relative stability of the A, B-I, and B-II, confortnations of duplex DNA, where the gas-phase energetics favor the B, form over the A and B-II forms. In addition, subtle features of the potential energy surfaces mimic changes in the probability distributions of alpha, beta, gamma, epsilon, and zeta and dihedral angles in A, B-I, and B-II forms of DNA as well as with conformations sampled in single-stranded DNA. These results show that the intrinsic mechanical properties of the phosphodiester backbone make a significant contribution to conformational properties of duplex DNA observed in the condensed phase and allow for the prediction that single-stranded DNA primarily samples folded conformations thereby possibly lowering the entropic barrier to the formation of duplex DNA.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Physical

Functional Group Distributions, Partition Coefficients, and Resistance Factors in Lipid Bilayers Using Site Identification by Ligand Competitive Saturation

Christoffer Lind, Poonam Pandey, Richard W. Pastor, Alexander D. MacKerell

Summary: The study utilized SILCS methodology to investigate the distribution of various chemical solutes in phospholipid bilayers, revealing differences in the distribution of aliphatic versus aromatic groups and variations in the distribution of different polar groups. The results provide insights into the energetics of functional groups in different regions of the bilayers and offer a method for calculating permeability of multifunctional drug-like molecules.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2021)

Article Chemistry, Physical

Deep Neural Network Model to Predict the Electrostatic Parameters in the Polarizable Classical Drude Oscillator Force Field

Anmol Kumar, Poonam Pandey, Payal Chatterjee, Alexander D. Jr Jr MacKerell

Summary: The Drude polarizable force field captures electronic polarization effects and is useful for simulating biomolecules and other molecules. Deep neural network models can accurately predict molecular dipole moments and polarizabilities.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2022)

Article Chemistry, Multidisciplinary

CHARMM-GUI Drude prepper for molecular dynamics simulation using the classical Drude polarizable force field

Abhishek A. Kognole, Jumin Lee, Sang-Jun Park, Sunhwan Jo, Payal Chatterjee, Justin A. Lemkul, Jing Huang, Alexander D. MacKerell, Wonpil Im

Summary: The Drude Prepper tool has been developed in CHARMM-GUI to facilitate the use of polarizable FF based on the classic Drude oscillator model. It allows for easy construction of Drude FF-based PSF and generation of input for MD simulations using various simulation packages. The stability and effectiveness of the Drude Prepper protocol and inputs have been demonstrated through validation with a variety of heterogeneous systems.

JOURNAL OF COMPUTATIONAL CHEMISTRY (2022)

Article Chemistry, Physical

Computational and Experimental Characterization of rDNA and rRNA G-Quadruplexes

Adam T. Green, Amanda J. Pickard, Rongzhong Li, Alexander D. MacKerell, Ulrich Bierbach, Samuel S. Cho

Summary: This study uses circular dichroism spectroscopy to show the parallel topologies of two putative ribosomal G-quadruplex sequences, and validates and refines the modeled structures using molecular dynamics simulations. The results provide a structural foundation for understanding G-quadruplex functions and designing novel chemotherapeutics.

JOURNAL OF PHYSICAL CHEMISTRY B (2022)

Review Chemistry, Multidisciplinary

Application of site-identification by ligand competitive saturation in computer-aided drug design

Himanshu Goel, Anthony Hazel, Wenbo Yu, Sunhwan Jo, Alexander D. MacKerell

Summary: SILCS utilizes molecular simulation to obtain functional group affinity patterns for drug discovery, allowing for identification of novel ligand binding pockets, prediction of protein-ligand binding affinities, and other applications in computer-aided drug design. It represents a comprehensive approach to improve drug development processes through accuracy and throughput enhancements.

NEW JOURNAL OF CHEMISTRY (2022)

Article Chemistry, Physical

Harnessing Deep Learning for Optimization of Lennard-Jones Parameters for the Polarizable Classical Drude Oscillator Force Field

Payal Chatterjee, Mert Y. Sengul, Anmol Kumar, Alexander D. MacKerell

Summary: The outcomes of computational chemistry and biology research are greatly influenced by the choice of forcefield used in molecular simulations. This study develops a deep learning-based framework for optimizing van der Waals interactions in molecular simulations. The resulting LJ parameters (interactions between atoms) are validated for their performance in reproducing condensed phase thermodynamic properties and demonstrate improved accuracy in reproducing solvent and crystal properties.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2022)

Article Chemistry, Medicinal

Preserving the Integrity of Empirical Force Fields

Asuka A. Orr, Suliman Sharif, Junmei Wang, Alexander D. MacKerell

Summary: Generalized force fields (FFs) are extensions of biomolecular FFs used for organic molecules. However, their application to arbitrary molecules requires caution to ensure their integrity.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2022)

Article Chemistry, Physical

SILCS-RNA: Toward a Structure-Based Drug Design Approach for Targeting RNAs with Small Molecules

Abhishek A. Kognole, Anthony Hazel, Alexander D. MacKerell

Summary: RNA molecules can be potential drug targets in various diseases due to their dysregulated expression or misfolding. Noncoding RNAs, which account for a large part of the human genome, have complex structures and can be targeted by small molecules. The SILCS computational approach, termed SILCS-RNA, was extended to target RNA in this study and evaluated against seven RNA targets. The method provides detailed functional group affinity patterns and facilitates the identification of new potential binding sites and ligand design.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2022)

Article Chemistry, Physical

Integrated Covalent Drug Design Workflow Using Site Identification by Ligand Competitive Saturation

Wenbo Yu, David J. Weber, Alexander D. MacKerell

Summary: Covalent drug design plays a significant role in drug discovery by forming a covalent bond with targeted residues, leading to a more effective therapeutic approach. Computational methods can identify reactive residues, test potential reactivities, and predict noncovalent contributions to binding. SILCS, a functional group mapping approach, considers protein flexibility, functional group, and protein desolvation along with functional group-protein interactions. SILCS-Covalent, an integrated workflow, can qualitatively and quantitatively inform covalent drug discovery.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2023)

Article Chemistry, Physical

Drude Polarizable Lipid Force Field with Explicit Treatment of Long- Range Dispersion: Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids

Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor, Benoit Roux, Alexander D. MacKerell Jr, Jeffery B. Klauda

Summary: Accurate empirical force fields of lipid molecules are crucial for molecular dynamics simulations of various lipid systems and heterogeneous systems. The polarizable Drude force field has been optimized in this study to improve its accuracy in simulating pure bilayers and membranes. By using both experimental and quantum mechanical data, the optimized force field shows good agreement with a range of experimental observables. The polarizable Drude2023 force field is anticipated to advance our understanding of electronic polarization in lipid systems.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2023)

Article Chemistry, Multidisciplinary

GPU-specific algorithms for improved solute sampling in grand canonical Monte Carlo simulations

Mingtian Zhao, Abhishek A. Kognole, Sunhwan Jo, Aoxiang Tao, Anthony Hazel, Alexander D. MacKerell Jr

Summary: In this study, the sampling efficiency of the GCMC method was improved by applying known cavity-bias and configurational-bias algorithms on GPU architecture. The method was parallelized using CUDA and OpenCL, resulting in simultaneous sampling of a large number of configurations during insertion attempts. The partitioning scheme allowed for simultaneous insertion attempts for large systems, significantly improving efficiency. The algorithm was shown to be useful in the application of the site-identification by ligand competitive saturation (SILCS) co-solvent sampling approach for the protein CDK2.

JOURNAL OF COMPUTATIONAL CHEMISTRY (2023)

Article Medicine, Research & Experimental

Site Identification by Ligand Competitive Saturation-Biologics Approach for Structure-Based Protein Charge Prediction

Asuka A. Orr, Aoxiang Tao, Olgun Guvench, Alexander D. MacKerell

Summary: Protein-based therapeutics often face challenges of protein aggregation and high solution viscosity due to high concentrations of active protein. The charge of a protein, affected by its environment, plays a significant role in these solution behaviors. This study presents a structure-based approach called SILCS-Biologics, which predicts the effective charge of proteins by considering the competition between ions and the presence of buffers.

MOLECULAR PHARMACEUTICS (2023)

Article Chemistry, Multidisciplinary

Influence of Mg2+ Distribution on the Stability of Folded States of the Twister Ribozyme Revealed Using Grand Canonical Monte Carlo and Generative Deep Learning Enhanced Sampling

Mert Y. Sengul, Alexander D. MacKerell

Summary: Metal ions, particularly Mg2+, play a role in stabilizing RNA's tertiary structures. However, the atomic-level mechanisms underlying this process are not fully understood. In this study, computational techniques were combined to investigate the specific interactions between Mg2+ ions and RNA, particularly in the pseudoknot structure of the Twister ribozyme.

ACS OMEGA (2023)

Article Chemistry, Multidisciplinary

hERG Blockade Prediction by Combining Site Identification by Ligand Competitive Saturation and Physicochemical Properties

Himanshu Goel, Wenbo Yu, Alexander D. MacKerell

Summary: This article presents the application of structure- and ligand-based approaches in simulating and predicting hERG drug liability. By combining the SILCS method with physicochemical properties, predictive models for hERG blockade were developed, resulting in improved predictability and aiding in rational drug design to minimize hERG risk.

CHEMISTRY-SWITZERLAND (2022)

Article Chemistry, Multidisciplinary

Accurate Modeling of RNA Hairpins Through the Explicit Treatment of Electronic Polarizability with the Classical Drude Oscillator Force Field

Mert Y. Sengul, Alexander D. MacKerell

Summary: The presence of polarizability in the force field improves the stability of RNA hairpin structures and leads to variations in dipole moments and ion distribution. Molecular dynamics simulations play a crucial role in modeling biomolecular systems, and the treatment of electrostatic interactions in the force field strongly affects simulation accuracy. In this study, the impact of polarization on structural properties, dipole moment distributions, and cation interactions in RNA hairpin systems is investigated using polarizable and non-polarizable nucleic acid force fields.

JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY (2022)

暂无数据