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International Journal Of Molecular Sciences AI Policy: ChatGPT and Generative AI Disclosure Rules for IJMS Authors

International Journal of Molecular Sciences requires AI disclosure under MDPI rules. AI cannot be an author. This guide covers where to disclose, what to disclose, and the consequences of non-compliance for IJMS submissions.

Editorial processThe Manusights editorial team researches and maintains these guides using source review, field-specific analysis, and our documented editorial process.How we work

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Quick answer: The International Journal Of Molecular Sciences AI policy follows MDPI's rules calibrated to molecular biology research with reproducible methodology and adequate statistical power submissions.

AI tools can be used for manuscript preparation, but generative-AI use to generate text, data or graphics, or in study design, data collection, analysis or interpretation, must be declared during submission, described in the Materials and Methods, and named in the Acknowledgments; text editing for grammar, structure, spelling, punctuation and formatting does not need to be declared. AI cannot be listed as an author of any IJMS paper. MDPI's data and image rules require presented data to be original and not fabricated, and image files must not be manipulated in ways that could mislead.

MDPI states that it reserves the right to request further information on AI use, and that editorial decisions are made in line with its Editorial Process and Terms and Conditions.

Run the IJMS submission readiness check which includes an automated AI-disclosure audit, or work through this guide manually. Need broader context? See the IJMS journal overview.

The Manusights IJMS readiness scan. This guide tells you what International Journal of Molecular Sciences's editors look for when verifying AI disclosure at desk-screen. The scan tells you whether your manuscript has the disclosure language required by the current journal policy before you submit.
We have reviewed manuscripts targeting International Journal of Molecular Sciences and peer venues; the named patterns below are patterns we check against the publisher's public AI policy and common editorial-screening risks. 60-day money-back guarantee. Your manuscript is not used for model training, and access is limited to the review workflow.

Editorial detail (for desk-screen calibration). Verify the current Editor-in-Chief and handling-editor list on the journal's editorial-team page before quoting any name in a submission cover letter. Submission portal: MDPI SuSy submission system. Manuscript constraints: an abstract of about 200 words maximum; IJMS has no restriction on the maximum length of manuscripts.

We reviewed MDPI's AI policy framework against current IJMS author guidelines (accessed 2026-10-09); evidence basis includes both publicly documented MDPI policy and our internal anonymized submission corpus. The applicable limits at IJMS are as follows: an abstract of about 200 words maximum, and no restriction on the maximum length of manuscripts.

Verify exact word and figure limits against the latest author guidelines before submission. The named editorial-culture quirk: IJMS reviewers consistently flag underpowered experiments (n<3) and missing statistical-test specification; rapid review-time depends on methodology completeness.

What does International Journal of Molecular Sciences's AI policy require?

IJMS authors should check four policy areas under MDPI's current AI framework before submission:

Rule 1: Disclose every AI tool used in manuscript preparation

Authors who use generative AI to generate text, data or graphics, or in study design, data collection, analysis or interpretation, must declare this during the submission process, describe how the tool was used in the Materials and Methods section, and give the tool's product details in the Acknowledgments section. MDPI's recommended acknowledgment statement is: "During the preparation of this manuscript/study, the author(s) used [tool name, version information] for the purposes of [description of use]. The authors have reviewed and edited the output and take full responsibility for the content of this publication." Examples that REQUIRE disclosure at IJMS:

  • For IJMS-targeted manuscripts addressing molecular biology research with reproducible methodology and adequate statistical power: using ChatGPT, Claude, Gemini, or similar to generate manuscript text passing through IJMS editorial review (MDPI exempts text editing such as grammar, structure, spelling, punctuation and formatting)
  • For IJMS submissions: using AI to generate boilerplate text for limitations, ethics statements, or IJMS-specific response-to-reviewers letters that cite MDPI's framework
  • For International Journal of Molecular Sciences submissions: using AI to translate manuscript text into English from another language; MDPI's policy does not name translation, so describe the use in the Materials and Methods if it goes beyond the text editing the policy exempts
  • For IJMS literature reviews: using AI for citation discovery or summarizing prior IJMS work; MDPI's policy covers generative AI used to generate text or in data collection, analysis or interpretation
  • For IJMS analytical pipelines: AI-assisted code generation requires Methods or code disclosure under the current publisher policy, particularly when code affects analysis

Examples that do NOT require AI disclosure:

  • At IJMS, using grammar/spell checkers (Word) for line-level edits, when used without generative AI features for new manuscript content
  • For IJMS submissions, using reference managers (Zotero, EndNote) for citation formatting against MDPI's style guide
  • For International Journal of Molecular Sciences statistical analysis, using established statistical software (R, Stata, SPSS) where the algorithm is the established tool documented in IJMS's methodological norm, not a generative AI

Rule 2: AI cannot be an author

No AI tool can be listed as an author of a IJMS paper, particularly for molecular biology research with reproducible methodology and adequate statistical power-class submissions. Under MDPI's policy: authorship requires the ability to take responsibility for the content, agree to be accountable for accuracy, and to consent to publication. AI tools cannot do any of these in IJMS's editorial framework. This rule is consistent across all MDPI-published journals and applied at IJMS's desk-screen.

Rule 3: Declare AI-generated graphics and never present fabricated data

MDPI's AI policy requires authors to declare generative-AI use to generate data or graphics, and MDPI's research-integrity rules say presented data must be original and not fabricated, and that image files must not be manipulated or adjusted in any way that could lead to misinterpretation of the original image. In practice, figures that represent original research data should come from the actual research: AI tools may assist with figure layout (axis labeling, color schemes) but the underlying data visualization must come from the actual research. AI-generated diagrams used for conceptual illustrations (e.g., a schematic of a hypothesized mechanism) fall under the declaration requirement, and stating that the diagram is conceptual helps readers.

Rule 4: Peer review and editorial decisions are AI-free

MDPI states that generative AI tools should not be used by reviewers in the preparation of review reports, that limited use to improve the written quality of a report (grammar, structure, spelling, punctuation and formatting) may be acceptable but should be disclosed, and that reviewers must not upload manuscripts, in whole or in part, to any GenAI tool. Academic Editors must not use GenAI tools during the editorial review or decision-making process. A review report prepared with inappropriate AI use will be discarded.

How does International Journal of Molecular Sciences's AI policy compare to peer journals?

Rule
IJMS stance
MDPI default
Policy basis
AI authorship
Prohibited
Prohibited
Authorship/accountability
Disclosure location
Submission form, Methods section and Acknowledgments
Submission form, Methods section and Acknowledgments
Authorship/accountability
AI-generated figures
Declaration required; fabricated or manipulated data not allowed
Declaration required; fabricated or manipulated data not allowed
Image-integrity guidance
Reviewer AI use
Not for report content; limited language editing may be acceptable if disclosed
Not for report content; limited language editing may be acceptable if disclosed
Peer-review confidentiality guidance
Enforcement
MDPI may request further information
MDPI may request further information
Submission-stage policy check

Source: MDPI research and publication ethics policy (accessed 2026-10-09) plus the IJMS Instructions for Authors.

What does AI disclosure look like in a IJMS Methods section?

Acceptable disclosure language for IJMS submissions:

"For our molecular biology research with reproducible methodology and adequate statistical power-focused manuscript at IJMS, we used ChatGPT-4o (OpenAI, version dated October 2024) to draft an initial version of the limitations paragraph in the Discussion section. We did not use generative AI for data analysis or figure generation. All authors reviewed and edited the AI-assisted text and take responsibility for the final manuscript."

Or, for AI-assisted code:

"For this IJMS submission addressing molecular biology research with reproducible methodology and adequate statistical power, initial Python code for the Bayesian regression analysis was drafted with Claude 3.5 Sonnet (Anthropic, version dated December 2024). All code was reviewed, modified, and validated by the authors before use; the final version is available at [repository URL]. Statistical inference was performed using the established R package brms."

What does NOT pass IJMS's desk-screen:

  • For IJMS addressing molecular biology research with reproducible methodology and adequate statistical power: "AI tools were used in manuscript preparation." Too vague: MDPI's recommended statement names the specific tool, version information, and the purpose of use
  • "We acknowledge AI assistance in the Acknowledgments." (MDPI wants the tool's product details in the Acknowledgments, but the use itself must also be described in the Materials and Methods and declared at submission.)
  • "ChatGPT helped write this paper." (Insufficient detail on use case)
  • No disclosure when AI was used (publication-ethics violation)

Desk-screen risks we see before submission

For IJMS-targeted manuscripts, the patterns below are common AI-policy risk areas to check against the publisher's current guidance before submission.

AI disclosure missing despite obvious AI-assisted phrasing. Substantive AI-assisted drafting without a required disclosure can trigger an editorial query. Check whether your manuscript reads as AI-assisted

AI disclosure placed in the wrong manuscript location. MDPI asks for the declaration at submission, the description of use in the Materials and Methods section, and the tool's product details in the Acknowledgments section. A disclosure that appears in only one of those places can create an avoidable submission query. Check whether your AI disclosure is in the right section

Generic disclosure language without tool name and version. MDPI's recommended statement names the tool, version information, and the purpose of use. "AI tools were used" without specifics is a weak disclosure that can draw a query. Check whether your AI disclosure has the required specificity

What is the IJMS AI-policy compliance timeline?

Stage
Duration
What happens
Author drafts AI disclosure
30-60 minutes
Identify all AI use, gather tool versions, write Methods paragraph
Co-author review of disclosure
1-2 days
All authors confirm the disclosure is complete and accurate
Editorial desk-screen check
1-2 weeks
IJMS's editorial team checks the disclosure against the manuscript when policy review is triggered
Editorial query (if disclosure incomplete)
5-10 days
Editor requests revision before sending to peer review
Reviewer AI-disclosure check
During peer review
Reviewers verify the disclosure matches the manuscript style

Source: Manusights internal review of IJMS-targeted submissions, 2025 cohort.

Submit If

  • For International Journal of Molecular Sciences submissions on molecular biology research with reproducible methodology and adequate statistical power: the manuscript documents substantive generative-AI use with the tool name, version or access date, specific use case, and disclosure location required by the current journal policy
  • For IJMS: no AI tool is listed as an author; all listed authors meet authorship criteria and take responsibility for the final manuscript
  • For International Journal of Molecular Sciences: figures and schematics representing original research data come from the actual research, with any AI-assisted image or figure workflow checked against the current journal image policy
  • For IJMS submissions: the disclosure makes clear that human authors reviewed the AI-assisted material and take responsibility for the final manuscript

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Think Twice If

  • The manuscript contains substantive AI-assisted drafting but no disclosure; this can trigger an editorial query if the journal requires disclosure for that use case.
  • The AI disclosure is placed in a section the current journal policy does not recognize.
  • The disclosure language is generic without naming the tool, version or access date, and use case; journals may query or return manuscripts with this gap.
  • Any figure, schematic, or image workflow used generative AI without being checked against the current journal image policy.

Manusights submission-corpus signal for International Journal of Molecular Sciences.

Of the manuscripts our team screened before submission to IJMS and peer venues in 2025, the AI-policy compliance gap most consistent across the cohort is generic disclosure language without tool-version specificity. In our analysis of anonymized IJMS-targeted submissions, manuscripts with complete AI disclosure (tool name, version, specific use case, all-author confirmation) clear desk-screen at the same rate as manuscripts without AI use; manuscripts with incomplete or missing disclosure trigger editorial queries that add 1-2 weeks to the timeline.

International Journal of Molecular Sciences follows the publisher's public AI policy, but authors should verify the current journal page before submission because AI-use rules, disclosure locations, and image guidance continue to change.

What can IJMS authors do to stay ahead of AI policy changes?

MDPI's AI policy framework continues to evolve as 2026 brings new ICMJE recommendations, COPE guidance refinements, and journal-specific clarifications. IJMS authors targeting molecular biology research with reproducible methodology and adequate statistical power submissions should track three signals throughout 2026:

Policy updates from MDPI. The publisher's public AI policy guidance is updated over time; check the current version before you submit.

Field-specific clarifications for molecular biology research with reproducible methodology and adequate statistical power. Different research domains see different AI use patterns. MDPI's policy draws the line between uses that must be declared (generating text, data or graphics, study design, data collection, analysis or interpretation) and text editing (grammar, structure, spelling, punctuation, formatting), which does not need to be declared. Authors who err on the side of more disclosure rather than less avoid the publication-ethics gray zone.

Reviewer disclosure norms. MDPI's policy says reviewers should not use GenAI tools in preparing review reports, and prohibits them from uploading manuscripts, in whole or in part, to any GenAI tool.

  • Manusights internal preview corpus (2025 cohort)

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Frequently asked questions

Yes, with disclosure. International Journal of Molecular Sciences follows MDPI's AI policy. Where generative AI is used to generate text, data or graphics, or in study design, data collection, analysis or interpretation, authors must declare it during the submission process, describe the use in the Materials and Methods section, and give the tool's product details in the Acknowledgments section. Using AI tools for text editing (grammar, structure, spelling, punctuation and formatting) does not need to be declared. AI cannot be listed as an author, and human authors bear full responsibility for the content.

MDPI asks for three things: declare the use during the submission process, describe how the tool was used in the Materials and Methods section, and give the tool's product details in the Acknowledgments section. MDPI's recommended acknowledgment statement is: 'During the preparation of this manuscript/study, the author(s) used [tool name, version information] for the purposes of [description of use]. The authors have reviewed and edited the output and take full responsibility for the content of this publication.' MDPI reserves the right to request further information.

MDPI's AI policy does not ban AI-generated graphics outright: where generative AI is used to generate data or graphics, authors must declare it. MDPI's research-integrity rules are strict about data and images, though. Presented data must be original and not fabricated, and image files must not be manipulated or adjusted in any way that could lead to misinterpretation of the original image. Figures that represent original research data should come from the actual research.

MDPI's AI policy says it reserves the right to request further information and that editorial decisions will be made in line with MDPI's Editorial Process and Terms and Conditions. Authors remain fully responsible for the originality, validity and integrity of the content, including any material generated by AI tools.

IJMS follows the MDPI-wide policy: AI cannot be an author, generative-AI use for content must be declared, and reviewers and Academic Editors must not use generative AI tools on manuscripts under review. IJMS's Instructions for Authors repeat the Materials and Methods and Acknowledgments requirements. Other publishers set their own rules, so check each journal's policy.

References

Sources

  1. MDPI AI policy (accessed 2026-10-09)
  2. IJMS author guidelines (accessed 2026-10-09)
  3. ICMJE recommendations on AI use (accessed 2026-05-08)
  4. COPE guidance on AI in research publication (accessed 2026-05-08)

Free guide

AI cannot be an author. None of the 49 policies we checked allows it.

Not a co-author, not an acknowledged contributor with a byline, not "with assistance from". What they do require is a disclosure, and the wording matters. The guide has the statement filled in, with what each publisher asks for beside it.

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