ArticleScientific reports2016
In silico selection of an aptamer to estrogen receptor alpha using computational docking employing estrogen response elements as aptamer-alike molecules.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 109 citations in OpenAlex.
- Histopathological Assessment of IFI6- and RSAD2-DNA Aptamers in Oral Squamous Cell Carcinoma: A Preliminary Study Based onBiomedicines · 2026Article
- In silico development of RNA aptamer candidates against thyroid receptor.Journal of computer-aided molecular design · 2025Article
- Targeting Glioblastoma Stem Cells via EphA2: Structural Insights into the RNA Aptamer A40s for Precision Therapy.Journal of chemical information and modeling · 2025Article
- Nucleic acid-based wearable and implantable electrochemical sensors.Chemical Society reviews · 2024Review
- Molecular docking analysis of imeglimin and its derivatives with estrogen receptor-alpha.Bioinformation · 2024Article
- Article
- Selection of a novel cell-internalizing RNA aptamer specific for CD22 antigen in B cell acute lymphoblastic leukemia.Molecular therapy. Nucleic acids · 2023Article
- DAPTEV: Deep aptamer evolutionary modelling for COVID-19 drug design.PLoS computational biology · 2023Article
- Design and Prediction of Aptamers Assisted by In Silico Methods.Biomedicines · 2023Review
- Computational Modeling of RNA Aptamers: Structure Prediction of the Apo State.The journal of physical chemistry. B · 2022Article
- A computational approach to rapidly design peptides that detect SARS-CoV-2 surface protein S.NAR genomics and bioinformatics · 2022Article
- Aptamers as promising nanotheranostic tools in the COVID-19 pandemic era.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022Review
- Structure- and Interaction-Based Design of Anti-SARS-CoV-2 Aptamers.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022Article
- Molecular docking analysis of phytochemicals with estrogen receptor alpha.Bioinformation · 2022Article
- In silico design of novel aptamers utilizing a hybrid method of machine learning and genetic algorithm.Molecular diversity · 2021Review
- A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers.PLoS computational biology · 2021Article
- The Role of Aryldiazonium Chemistry in Designing Electrochemical Aptasensors for the Detection of Food Contaminants.Materials (Basel, Switzerland) · 2021Review
- Article
- Artificial Intelligence in Aptamer-Target Binding Prediction.International journal of molecular sciences · 2021Review
- Advances in Gold Nanoparticles-Based Colorimetric Aptasensors for the Detection of Antibiotics: An Overview of the Past Decade.Nanomaterials (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aptamers, the chemical-antibody substitute to conventional antibodies, are primarily discovered through SELEX technology involving multi-round selections and enrichment. Circumventing conventional methodology, here we report an in silico selection of aptamers to estrogen receptor alpha (ERα) using RNA analogs of human estrogen response elements (EREs). The inverted repeat nature of ERE and the ability to form stable hairpins were used as criteria to obtain aptamer-alike sequences. Near-native RNA analogs of selected single stranded EREs were modelled and their likelihood to emerge as ERα aptamer was examined using AutoDock Vina, HADDOCK and PatchDock docking. These in silico predictions were validated by measuring the thermodynamic parameters of ERα -RNA interactions using isothermal titration calorimetry. Based on the in silico and in vitro results, we selected a candidate RNA (ERaptR4; 5'-GGGGUCAAGGUGACCCC-3') having a binding constant (Ka) of 1.02 ± 0.1 × 10(8) M(-1) as an ERα-aptamer. Target-specificity of the selected ERaptR4 aptamer was confirmed through cytochemistry and solid-phase immunoassays. Furthermore, stability analyses identified ERaptR4 resistant to serum and RNase A degradation in presence of ERα. Taken together, an efficient ERα-RNA aptamer is identified using a non-SELEX procedure of aptamer selection. The high-affinity and specificity can be utilized in detection of ERα in breast cancer and related diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.