ArticleNature communications2017
Prioritizing multiple therapeutic targets in parallel using automated DNA-encoded library screening.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 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
25 citing papers in PubMed, 74 citations in OpenAlex.
- Solid-phase DNA-encoded library synthesis: a master builder's instructions.Nature protocols · 2026Review
- Expansion of DNA-Encoded Library Hits Using Generative Chemistry and Ultra-Large Compound Catalogs.bioRxiv : the preprint server for biology · 2025Article
- The power of DNA-encoded chemical libraries in the battle against drug-resistant bacteria.RSC advances · 2025Review
- Targeting fusion oncoproteins in childhood cancers: challenges and future opportunities for developing therapeutics.Journal of the National Cancer Institute · 2024Article
- Building Block-Centric Approach to DNA-Encoded Library Design.Journal of chemical information and modeling · 2024Article
- Inhibitors of the Thioesterase Activity ofACS infectious diseases · 2024Article
- Exploiting the Carboxylate-Binding Pocket of β-Lactamase Enzymes Using a Focused DNA-Encoded Chemical Library.Journal of medicinal chemistry · 2024Article
- Unrealized targets in the discovery of antibiotics for Gram-negative bacterial infections.Nature reviews. Drug discovery · 2023Review
- Small-molecule discovery through DNA-encoded libraries.Nature reviews. Drug discovery · 2023Review
- Translating the Genome into Drugs.Accounts of chemical research · 2023Article
- Antibacterial Discovery via Phenotypic DNA-Encoded Library Screening.ACS chemical biology · 2021Article
- Combinatorial technology revitalized by DNA-encoding.MedComm · 2021Article
- DNA-Encoded Library Hit Confirmation: Bridging the Gap Between On-DNA and Off-DNA Chemistry.ACS medicinal chemistry letters · 2021Article
- Stereo- and regiodefined DNA-encoded chemical libraries enable efficient tumour-targeting applications.Nature chemistry · 2021Article
- Navigating the DNA encoded libraries chemical space.Communications chemistry · 2020Article
- Role of the lipid bilayer in outer membrane protein folding in Gram-negative bacteria.The Journal of biological chemistry · 2020Review
- Targets and Antibody Formats for Immunotherapy of Neuroblastoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020Review
- Beyond protein binding: recent advances in screening DNA-encoded libraries.Chemical communications (Cambridge, England) · 2019Review
- Encoded Library Technologies as Integrated Lead Finding Platforms for Drug Discovery.Molecules (Basel, Switzerland) · 2019Review
- Development of a Selection Method for Discovering Irreversible (Covalent) Binders from a DNA-Encoded Library.SLAS discovery : advancing life sciences R & D · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
65 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification and prioritization of chemically tractable therapeutic targets is a significant challenge in the discovery of new medicines. We have developed a novel method that rapidly screens multiple proteins in parallel using DNA-encoded library technology (ELT). Initial efforts were focused on the efficient discovery of antibacterial leads against 119 targets from Acinetobacter baumannii and Staphylococcus aureus. The success of this effort led to the hypothesis that the relative number of ELT binders alone could be used to assess the ligandability of large sets of proteins. This concept was further explored by screening 42 targets from Mycobacterium tuberculosis. Active chemical series for six targets from our initial effort as well as three chemotypes for DHFR from M. tuberculosis are reported. The findings demonstrate that parallel ELT selections can be used to assess ligandability and highlight opportunities for successful lead and tool discovery.
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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.