Dennis Herb , Marco Trenti , Marilena Mantela , Constantinos Simserides , Joachim Ankerhold , Mirko Rossini
{"title":"QuantumDNA: A python package for analyzing quantum charge dynamics in DNA and exploring its biological relevance","authors":"Dennis Herb , Marco Trenti , Marilena Mantela , Constantinos Simserides , Joachim Ankerhold , Mirko Rossini","doi":"10.1016/j.cpc.2025.109626","DOIUrl":null,"url":null,"abstract":"<div><div>The study of DNA charge dynamics is a highly interdisciplinary field that bridges physics, chemistry, biology, and medicine, and plays a critical role in processes such as DNA damage detection, protein-DNA interactions, and DNA-based nanotechnology. However, despite significant progress in each of these areas, knowledge often remains inaccessible to researchers in other scientific communities, limiting the broader impact of advances across disciplines. To bridge this gap, we present QuantumDNA, an open-source Python package for simulating DNA charge transfer and excited state dynamics using quantum physical methods. QuantumDNA combines an efficient Linear Combination of Atomic Orbitals (LCAO) approach combined with tight-binding models and incorporates open quantum systems techniques to account for environmental effects. This approach allows for a rapid yet sufficiently accurate analysis of large DNA ensembles, enabling statistical studies of genetic and epigenetic phenomena. To ensure accessibility, the package features a graphical user interface, making it suitable for researchers across disciplines.</div></div><div><h3>Program summary</h3><div><em>Program Title:</em> QuantumDNA</div><div><em>CPC Library link to program files:</em> <span><span>https://doi.org/10.17632/5mw48c7gbb.1</span><svg><path></path></svg></span></div><div><em>Developer's repository link:</em> <span><span>https://github.com/dehe1011/QuantumDNA</span><svg><path></path></svg></span></div><div><em>Licensing provisions:</em> BSD 3-clause</div><div><em>Programming language:</em> Python</div><div><em>Nature of the Problem:</em> Over the past 60 years, a variety of advanced simulation methods have been employed to explore charge dynamics of DNA. However, most of these approaches are computationally too expensive for the large-scale statistical screening required in genetics and epigenetics. Therefore, theoretical and computational results are often restricted to specialized fields, limiting their accessibility and reproducibility to researchers across disciplines. <em>Solution Method:</em> QuantumDNA combines computational methods from quantum physics and theoretical chemistry to facilitate high-throughput analysis of DNA charge dynamics with sufficient accuracy. Unlike computationally expensive <em>ab initio</em> methods, it utilizes the efficiency of LCAO and TB models to simulate charge dynamics while considering environmental effects, making simulations more accessible and encouraging interdisciplinary research. <em>Additional comments:</em> QuantumDNA is an open-source package featuring a graphical user interface, tutorial Jupyter notebooks, and a dedicated documentation website. The package also supports CPU parallel computing.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"313 ","pages":"Article 109626"},"PeriodicalIF":7.2000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Physics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010465525001286","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The study of DNA charge dynamics is a highly interdisciplinary field that bridges physics, chemistry, biology, and medicine, and plays a critical role in processes such as DNA damage detection, protein-DNA interactions, and DNA-based nanotechnology. However, despite significant progress in each of these areas, knowledge often remains inaccessible to researchers in other scientific communities, limiting the broader impact of advances across disciplines. To bridge this gap, we present QuantumDNA, an open-source Python package for simulating DNA charge transfer and excited state dynamics using quantum physical methods. QuantumDNA combines an efficient Linear Combination of Atomic Orbitals (LCAO) approach combined with tight-binding models and incorporates open quantum systems techniques to account for environmental effects. This approach allows for a rapid yet sufficiently accurate analysis of large DNA ensembles, enabling statistical studies of genetic and epigenetic phenomena. To ensure accessibility, the package features a graphical user interface, making it suitable for researchers across disciplines.
Program summary
Program Title: QuantumDNA
CPC Library link to program files:https://doi.org/10.17632/5mw48c7gbb.1
Nature of the Problem: Over the past 60 years, a variety of advanced simulation methods have been employed to explore charge dynamics of DNA. However, most of these approaches are computationally too expensive for the large-scale statistical screening required in genetics and epigenetics. Therefore, theoretical and computational results are often restricted to specialized fields, limiting their accessibility and reproducibility to researchers across disciplines. Solution Method: QuantumDNA combines computational methods from quantum physics and theoretical chemistry to facilitate high-throughput analysis of DNA charge dynamics with sufficient accuracy. Unlike computationally expensive ab initio methods, it utilizes the efficiency of LCAO and TB models to simulate charge dynamics while considering environmental effects, making simulations more accessible and encouraging interdisciplinary research. Additional comments: QuantumDNA is an open-source package featuring a graphical user interface, tutorial Jupyter notebooks, and a dedicated documentation website. The package also supports CPU parallel computing.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.