Literature DB >> 34435773

E2EDNA: Simulation Protocol for DNA Aptamers with Ligands.

Michael Kilgour1, Tao Liu1, Brandon D Walker2, Pengyu Ren2, Lena Simine1.   

Abstract

We present E2EDNA, a simulation protocol and accompanying code for the molecular biophysics and materials science communities. This protocol is both easy to use and sufficiently efficient to simulate single-stranded (ss)DNA and small analyte systems that are important to cellular processes and nanotechnologies such as DNA aptamer-based sensors. Existing computational tools used for aptamer design focus on cost-effective secondary structure prediction and motif analysis in the large data sets produced by SELEX experiments. As a rule, they do not offer flexibility with respect to the choice of the theoretical engine or direct access to the simulation platform. Practical aptamer optimization often requires higher accuracy predictions for only a small subset of sequences suggested, e.g., by SELEX experiments, but in the absence of a streamlined procedure, this task is extremely time and expertise intensive. We address this gap by introducing E2EDNA, a computational framework that accepts a DNA sequence in the FASTA format and the structures of the desired ligands and performs approximate folding followed by a refining step, analyte complexation, and molecular dynamics sampling at the desired level of accuracy. As a case study, we simulate a DNA-UTP (uridine triphosphate) complex in water using the state-of-the-art AMOEBA polarizable force field. The code is available at https://github.com/InfluenceFunctional/E2EDNA.

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Year:  2021        PMID: 34435773      PMCID: PMC9536994          DOI: 10.1021/acs.jcim.1c00696

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   6.162


  26 in total

1.  Modeling complex RNA tertiary folds with Rosetta.

Authors:  Clarence Yu Cheng; Fang-Chieh Chou; Rhiju Das
Journal:  Methods Enzymol       Date:  2015-02-12       Impact factor: 1.600

2.  A Generalizable and Noncovalent Strategy for Interfacing Aptamers with a Microelectrode for the Selective Sensing of Neurotransmitters In Vivo.

Authors:  Hanfeng Hou; Ying Jin; Huan Wei; Wenliang Ji; Yifei Xue; Jingbo Hu; Meining Zhang; Ying Jiang; Lanqun Mao
Journal:  Angew Chem Int Ed Engl       Date:  2020-08-24       Impact factor: 15.336

3.  Automation of the CHARMM General Force Field (CGenFF) I: bond perception and atom typing.

Authors:  K Vanommeslaeghe; A D MacKerell
Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

4.  APTANI2: update of aptamer selection through sequence-structure analysis.

Authors:  Jimmy Caroli; Mattia Forcato; Silvio Bicciato
Journal:  Bioinformatics       Date:  2020-04-01       Impact factor: 6.937

5.  A DNA aptamer that binds adenosine and ATP.

Authors:  D E Huizenga; J W Szostak
Journal:  Biochemistry       Date:  1995-01-17       Impact factor: 3.162

6.  New insights into a classic aptamer: binding sites, cooperativity and more sensitive adenosine detection.

Authors:  Zijie Zhang; Olatunji Oni; Juewen Liu
Journal:  Nucleic Acids Res       Date:  2017-07-27       Impact factor: 16.971

Review 7.  Metal Sensing by DNA.

Authors:  Wenhu Zhou; Runjhun Saran; Juewen Liu
Journal:  Chem Rev       Date:  2017-06-09       Impact factor: 60.622

8.  Automation of AMOEBA polarizable force field parameterization for small molecules.

Authors:  Johnny C Wu; Gaurav Chattree; Pengyu Ren
Journal:  Theor Chem Acc       Date:  2012-02-26       Impact factor: 1.702

9.  The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes.

Authors:  G C P van Zundert; J P G L M Rodrigues; M Trellet; C Schmitz; P L Kastritis; E Karaca; A S J Melquiond; M van Dijk; S J de Vries; A M J J Bonvin
Journal:  J Mol Biol       Date:  2015-09-26       Impact factor: 5.469

Review 10.  Aptamer-Based Biosensors for Antibiotic Detection: A Review.

Authors:  Asol Mehlhorn; Parvaneh Rahimi; Yvonne Joseph
Journal:  Biosensors (Basel)       Date:  2018-06-11
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