Evidence map›Paper›PMID 42516427›Full record

ArticleFrontiers in bioengineering and biotechnology2026

The limits of sequence-based biosecurity screening tools in the age of AI-assisted protein design.

Bruce J Wittmann, Nicole E Wheeler, Steven T Murphy, Tom Mitchell, Brittany Rife Magalis, Bryan T Gemler, Kevin Flyangolts, James Diggans, Adam Clore, Jacob Beal and 3 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Developing a standard definition for sequences of concern.Frontiers in bioengineering and biotechnology · 2026
    Article
  4. 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

13 authors.

Bruce J WittmannOffice of the Chief Scientific Officer, Microsoft, Redmond, WA, United States.
Nicole E Wheeler *International Gene Synthesis Consortium, San Diego, CA, United States.
Steven T Murphy *RTX BBN Technologies, Cambridge, MA, United States.
Tom Mitchell *RTX BBN Technologies, Cambridge, MA, United States.
Brittany Rife Magalis *University of Louisville, Louisville, KY, United States.
Bryan T Gemler *International Gene Synthesis Consortium, San Diego, CA, United States.
Kevin Flyangolts *International Gene Synthesis Consortium, San Diego, CA, United States.
James Diggans *International Gene Synthesis Consortium, San Diego, CA, United States.
Adam Clore *International Gene Synthesis Consortium, San Diego, CA, United States.
Jacob Beal *International Gene Synthesis Consortium, San Diego, CA, United States.
Craig Bartling *International Gene Synthesis Consortium, San Diego, CA, United States.
Tessa Alexanian *International Gene Synthesis Consortium, San Diego, CA, United States.
Eric HorvitzOffice of the Chief Scientific Officer, Microsoft, Redmond, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid advancements in AI have enabled significant progress in protein and nucleic acid design, but they also pose biosecurity challenges. We examine the vulnerabilities of biosecurity screening software (BSS) to AI-reformulated synthetic homologs of proteins of concern (POCs) that have been fragmented into smaller segments. We evaluate four BSS tools that were recently patched to enhance their AI resiliency. Without any further modification, we found that two of the four tools were capable of robustly detecting fragments as short as 50 nucleotides, demonstrating screening capabilities that exceed those requested in the United States Framework for Nucleic Acid Synthesis. Upgraded versions of the other two tools improved performance. Although our findings confirm the effectiveness of the tested BSS tools, at the same time, they emphasize the urgency of developing alternate BSS approaches to counter evolving AI-enabled biosecurity risks.

Indexed as

artificial intelligencebiosecuritymachine learningnucleic acidsprotein engineeringsecuritysynthesis screening

Identifiers

PMID42516427
PMCPMC13402867

What OpenQuestion holds

Textmetadata
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.