Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Can molecular dynamics be used to simulate biomolecular recognition?
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.ORCID iD: 0000-0002-7659-8526
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.ORCID iD: 0000-0001-5522-1810
Queens Univ Belfast, Sch Math & Phys, Ctr Quantum Mat & Technol, Belfast BT7 1NN, North Ireland..
2023 (English)In: Journal of Chemical Physics, ISSN 0021-9606, E-ISSN 1089-7690, Vol. 158, no 18, article id 184106Article in journal (Refereed) Published
Abstract [en]

There are many problems in biochemistry that are difficult to study experimentally. Simulation methods are appealing due to direct availability of atomic coordinates as a function of time. However, direct molecular simulations are challenged by the size of systems and the time scales needed to describe relevant motions. In theory, enhanced sampling algorithms can help to overcome some of the limitations of molecular simulations. Here, we discuss a problem in biochemistry that offers a significant challenge for enhanced sampling methods and that could, therefore, serve as a benchmark for comparing approaches that use machine learning to find suitable collective variables. In particular, we study the transitions LacI undergoes upon moving between being non-specifically and specifically bound to DNA. Many degrees of freedom change during this transition and that the transition does not occur reversibly in simulations if only a subset of these degrees of freedom are biased. We also explain why this problem is so important to biologists and the transformative impact that a simulation of it would have on the understanding of DNA regulation.

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2023. Vol. 158, no 18, article id 184106
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:uu:diva-504051DOI: 10.1063/5.0146899ISI: 000985389300007PubMedID: 37158325OAI: oai:DiVA.org:uu-504051DiVA, id: diva2:1765252
Funder
Swedish Research Council, 2016.06213Swedish Research Council, 2018-05973Knut and Alice Wallenberg Foundation, 2018-05973Swedish National Infrastructure for Computing (SNIC), 2016.0077Swedish National Infrastructure for Computing (SNIC), SNIC 2021/3-8Swedish National Infrastructure for Computing (SNIC), SNIC 2022/3-26Swedish National Infrastructure for Computing (SNIC), SNIC 2021/6-268Swedish National Infrastructure for Computing (SNIC), SNIC 2022/6-261Swedish National Infrastructure for Computing (SNIC), SNIC 2022/23-373Swedish National Infrastructure for Computing (SNIC), SNIC 2021/6-294Swedish National Infrastructure for Computing (SNIC), 2022/6-344Available from: 2023-06-09 Created: 2023-06-09 Last updated: 2025-02-20Bibliographically approved
In thesis
1. Molecular Metamorphosis in Transcriptional Regulation
Open this publication in new window or tab >>Molecular Metamorphosis in Transcriptional Regulation
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The foundation of all life is the interaction of molecules. Molecular interaction occurs in the tightly packed cytoplasm. In this crowded environment, the molecules need to be able to establish stable interactions with specific interaction partners, and with specific ones only. Selectivity is essential for transcriptional regulation where DNA-binding proteins, more specifically transcription factors, need to reach their respective target DNA, such as an operator sequence, quickly. The transcription factor LacI for example reaches its DNA operator within minutes and establishes a tight interaction to it that will block transcriptions of the genes it regulates. With the other millions of sequences in the bacterial chromosome, it interacts only fleetingly. This is possible because a small part of the protein is disordered during the transient interaction with non-operator DNA. Only with specific DNA will the folding of the disordered region into a rigid helix be favored. When the disordered region folds into a helix, the transcription factor changes its structure and, with it, its function from a weak DNA binder to a strong one. Thinking about molecular structures as dynamic entities that react to their environment and understanding the origins of structural metamorphosis allow us to predict changes in the protein sequence that will affect their behavior in the cellular context. This is demonstrated in this thesis where I study the structural dynamics of LacI with molecular dynamic simulations and use the insights from these simulations to design protein variants with changed binding stability and selectivity.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2023. p. 73
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2299
Keywords
Protein-DNA interactions, Facilitated diffusion, Binding Kinetics, Molecular Simulations, Fluorescence Microscopy
National Category
Biological Sciences Chemical Sciences
Research subject
Biology with specialization in Structural Biology; Biology with specialization in Molecular Biotechnology
Identifiers
urn:nbn:se:uu:diva-509935 (URN)978-91-513-1882-0 (ISBN)
Public defence
2023-10-11, B21, BMC, Husargatan 3, Uppsala, 09:00 (English)
Opponent
Supervisors
Available from: 2023-09-15 Created: 2023-08-23 Last updated: 2023-09-15

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Lüking, MalinVan der Spoel, DavidElf, Johan

Search in DiVA

By author/editor
Lüking, MalinVan der Spoel, DavidElf, Johan
By organisation
Molecular Systems BiologyComputational Biology and Bioinformatics
In the same journal
Journal of Chemical Physics
BiochemistryMolecular Biology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 212 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf