Evidence map›Paper›PMID 39634215›Full record

ArticleACS central science2024

High-Affinity Peptides for Target Protein Screened in Ultralarge Virtual Libraries.

Boyuan Xue, Ruixue Li, Zhao Cheng, Xiaohong Zhou

Abstract read
In one paragraph

Article in ACS central science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

4 authors.

Boyuan XueCenter for Sensor Technology of Environment and Health, School of Environment, Tsinghua University, Beijing 100084, China.
Ruixue LiCenter for Sensor Technology of Environment and Health, School of Environment, Tsinghua University, Beijing 100084, China.
Zhao ChengCenter for Sensor Technology of Environment and Health, School of Environment, Tsinghua University, Beijing 100084, China.
Xiaohong ZhouCenter for Sensor Technology of Environment and Health, School of Environment, Tsinghua University, Beijing 100084, China.ORCID https://orcid.org/0000-0002-5307-6709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput virtual screening (HTVS) has emerged as a pivotal strategy for identifying high-affinity peptides targeting functional proteins, which are crucial for diagnostic and therapeutic applications. In the HTVS of peptides, expanding the library capacity to enhance peptide sequence diversity, thereby screening out excellent affinity peptide candidates, remains a significant challenge. This study presents a

Identifiers

PMID39634215
PMCPMC11613273

What OpenQuestion holds

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Registered trials

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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.