Evidence map›Paper›PMID 41907305›Full record

ReviewPharmaceutical science advances2026

Unleashing the power of DNA-encoded libraries for challenging targets in drug discovery.

Nana Du, Yijun Li, Qing Lou, Gong Zhang, Yangfeng Li, Yizhou Li

Abstract readReview
In one paragraph

Review in Pharmaceutical science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nana DuChongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China.
Yijun LiChongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China.
Qing LouChongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China.
Gong ZhangChongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China.
Yangfeng LiChongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China.
Yizhou LiChongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA-encoded library (DEL) technology has emerged as a transformative platform in early-stage drug discovery, enabling the rapid and cost-effective exploration of ultra-large chemical spaces. However, identifying ligands for challenging targets characterized by featureless surfaces, high conformational plasticity, or shallow binding sites remains a formidable challenge. While the potential of DEL is widely recognized, a systematic evaluation of its strategic evolution against these intractable targets over the past fifteen years is timely. This review surveys the progress of DEL technology in tackling such targets, organized by GTPases, epigenetic regulators, phosphatases, protein-protein interaction (PPI), membrane proteins, and RNA. We highlight pivotal case studies and methodological breakthroughs while critically examining aspects of driving force in DEL such as DNA-compatible chemistry, diversified library design, advanced selection strategies, and artificial intelligence (AI) integration. Finally, we illustrate how DEL evolves from a conventional screening tool into a multifaceted discovery engine. By identifying future directions that include expanding three-dimensional chemical space, enhancing library fidelity, and deepening integration with functional biology and AI, this review provides a strategic roadmap to inspire and guide future DEL campaigns against those challenging targets.

Indexed as

Challenging targetsChemical spaceDNA-Encoded libraryDrug discovery

Identifiers

PMID41907305
PMCPMC13019106

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.