Evidence map›Paper›PMID 38549525›Full record

ReviewCurrent topics in medicinal chemistry2024

A New Advanced Approach: Design and Screening of Affinity Peptide Ligands Using Computer Simulation Techniques.

Zheng Wei, Meilun Chen, Xiaoling Lu, Yijie Liu, Guangnan Peng, Jie Yang, Chunhua Tang, Peng Yu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current topics in medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Zheng WeiXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
Meilun ChenXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
Xiaoling LuXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
Yijie LiuXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
Guangnan PengSchool of Life Science, Central South University, Changsha, Hunan, 410013, China.
Jie YangXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
Chunhua TangXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
Peng YuXiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.

Funding

Innovation- Driven Project of Central South University Grant Nos. 2022XQLH074, 2022XQLH075, 2022XQLH076
6 · The paper itself

Abstract

Peptides acquire target affinity based on the combination of residues in their sequences and the conformation formed by their flexible folding, an ability that makes them very attractive biomaterials in therapeutic, diagnostic, and assay fields. With the development of computer technology, computer-aided design and screening of affinity peptides has become a more efficient and faster method. This review summarizes successful cases of computer-aided design and screening of affinity peptide ligands in recent years and lists the computer programs and online servers used in the process. In particular, the characteristics of different design and screening methods are summarized and categorized to help researchers choose between different methods. In addition, experimentally validated sequences are listed, and their applications are described, providing directions for the future development and application of computational peptide screening and design.

Indexed as

Computer SimulationPeptidesComputer-Aided DesignDrug DesignHumansLigandsLigandsPeptidesAffinity peptide ligandsComputer-aided designMolecular dockingTarget recognitionVirtual peptide library.Virtual screening

Identifiers

PMID38549525

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.