Evidence map›Paper›PMID 40343205›Full record

ArticleFrontiers in bioengineering and biotechnology2025

High-yield spidroin mimics for bioinspired fibers via computational design.

Yufan Huang, Junzi Qi, Bingrui An, Bensheng Zhang, Yukang Yang, Cheng Cheng, Bingfang He

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. 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. Review
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

7 authors.

Yufan HuangCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, China.
Junzi QiCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, China.
Bingrui AnSchool of Pharmaceutical Sciences, Nanjing Tech University, Nanjing, China.
Bensheng ZhangSchool of Pharmaceutical Sciences, Nanjing Tech University, Nanjing, China.
Yukang YangSchool of Pharmaceutical Sciences, Nanjing Tech University, Nanjing, China.
Cheng ChengSchool of Pharmaceutical Sciences, Nanjing Tech University, Nanjing, China.
Bingfang HeCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exceptional mechanical properties, biocompatibility, and biodegradability of spider silk make it a promising biomaterial, yet large-scale production remains hindered by challenges in heterologous expression. Existing prokaryotic systems face bottlenecks due to spidroins' high molecular weight, repetitive sequences, and GC-rich motifs, leading to low yields, premature transcription termination, and insoluble inclusion bodies. Addressing these challenges, the study integrates deep learning and bioengineering to design water-soluble, β-sheet-rich spidroin mimics optimized for efficient prokaryotic expression. By replacing polyalanine motifs in

Indexed as

coarse-grained molecular dynamicsEscherichia coliheterologous expressionself-assemblyspidroinβ-sheet

Identifiers

PMID40343205
PMCPMC12058734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.