Publishing Strategy14 min read•Updated Jul 13, 2026

Molecular Systems Biology Response to Reviewers: Revision Guide

An MSB revision guide for making models, perturbations, omics data, source data, mechanism, and transparent response correspondence agree.

By Manusights Editorial Team•July 13, 2026

Editorial processThe Manusights editorial team researches and maintains our Molecular & Cell Biology guides, drawing on what we see across thousands of pre-submission manuscript reviews.How we work

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Impact factor6.7Clarivate JCR

Acceptance rate~15-25%Overall selectivity

Time to decision~60-100 days medianFirst decision

What makes this journal worth targeting

IF 6.7 puts Molecular Systems Biology in a visible tier, citations from papers here carry real weight.
Scope specificity matters more than impact factor for most manuscript decisions.
Acceptance rate of ~15-25% means fit determines most outcomes.

When to look elsewhere

When your paper sits at the edge of the journal's stated scope, borderline fit rarely improves after submission.
If timeline matters: Molecular Systems Biology takes ~60-100 days median. A faster-turnaround journal may suit a grant or job deadline better.
If open access is required by your funder, verify the journal's OA agreements before submitting.

Question	What to do
Use this page for	Building a point-by-point response that is easy for reviewers and editors to trust.
Start with	State the reviewer concern clearly, then pair each response with the exact evidence or revision.
Common mistake	Sounding defensive or abstract instead of specific about what changed.
Best next step	Turn the response into a visible checklist or matrix before you finalize the letter.

Quick answer: A Molecular Systems Biology response to reviewers should show that computation and experiment now answer the same systems-level question. Start with the editors' controlling issues, then answer every comment. State the uncertainty, action, result, and exact location. Cite page and line, figure panel, equation, model version, dataset, source-data file, code repository, or protocol. Because MSB uses transparent peer-review practices and publishes review-process correspondence with accepted articles when applicable, write the response as durable scientific documentation, not private persuasion.

Last reviewed: July 13, 2026.

Use the MSB revision readiness scan before uploading. Initial fit belongs to the MSB submission guide, status belongs to MSB under review, and the MSB journal profile provides broader context.

From our manuscript review practice

In MSB revisions we review, the common failure is parallel repair: computational authors improve the model while experimental authors add validation, but the two streams never test the same mechanism. The response must show what prediction changed, what perturbation tested it, and how the result updated the model and claim.

What the transparent review model changes

EMBO Press's transparent process makes the response more than an administrative attachment. Public Peer Review Process Files show editorial decisions, reports, and point-by-point author responses alongside accepted work when the policy applies. A future reader may evaluate how the evidence changed.

That creates a systems-specific revision standard:

Reviewer concern	Evidence the revision needs	Incomplete response
Model and experiment are disconnected	Prediction, perturbation, observed result, and model update	Adding simulations and experiments in parallel
Mechanism is descriptive	Competing mechanism and discriminating intervention	Another correlation or network diagram
Omics result lacks validation	Orthogonal assay, independent cohort, targeted measurement, or bounded claim	More pathway enrichment from the same data
Model is not identifiable	Parameter sensitivity, uncertainty, alternatives, and observable constraints	Reporting one fitted parameter set
Generality is overclaimed	Cell type, condition, scale, species, or cohort boundary	Calling one context a universal system
Reproducibility is incomplete	Source data, code, environment, model equations, and protocol	A repository link without executable provenance

Copyable MSB response template

Use bold or boxed reviewer comments and regular text for responses. Quote revised text where it helps a public reader understand the change.

Dear Editors,

Thank you for inviting revision of manuscript MSB-2026-0418,
"Feedback Control of the Integrated Stress Response." The decision identifies
three controlling issues: model identifiability, causal evidence for the
proposed feedback loop, and reproducibility of the single-cell analysis.
We summarize the integrated changes below and answer every comment in order.
Page and line references use the clean revised manuscript.

Editor Issue 1: Model-experiment integration
Response: We derived a prediction that distinguishes feedback from feed-forward
control, designed a timed inhibition experiment, and refit both models to the
new trajectories. Only the feedback model captures recovery after washout.
See page 7, lines 4-29; new Figure 3A-F; equations 6-9; and Source Data Figure 3.

Reviewer 1, Comment 2
"Several parameter combinations fit the original trajectory equally well."
Response: We agree. We added profile-likelihood intervals, global sensitivity,
and a practical-identifiability analysis. Two parameters remain weakly
identified, so we removed their biological interpretation. See page 11,
lines 6-30 and Appendix Figures S4-S6. Code release v1.2 reproduces the analysis.

Reviewer 2, Comment 4
"The single-cell state requires orthogonal validation."
Response: We added targeted protein measurements and perturbation recovery in
an independent batch. The state marker replicates, but its frequency is lower;
the abstract and discussion now bound prevalence to the tested cell system.
See page 14, lines 3-25 and Figure 5B-E.

Sincerely,
Dr. A. Researcher, on behalf of all authors

The template is deliberately explicit about negative or narrowing results. Transparent correspondence makes silent claim preservation especially visible.

Cite page, line, figure panel, code, and source data

Every response needs an exact page and line citation, but MSB revisions often require a deeper chain. Name the figure panel, model equation, analysis version, source-data file, protocol, or repository release. A reviewer should be able to move from comment to evidence without inferring which code or panel changed.

When figure numbers or model equations move, audit every location after final compilation. Preserve repository tags or commit identifiers when the revision changes analysis behavior.

Typography for transparent correspondence

Distinguish reviewer text from author response with bold text, shaded blocks, indentation, and explicit labels. Do not rely on color. Keep editor priorities, reviewer comments, quoted manuscript text, and author interpretation visually separate.

Use the same structure for second-round comments. A public Peer Review Process File should remain readable without the submission interface that originally grouped the text.

Build a model-experiment response ledger

Comment	Scientific uncertainty	Revision artifact	Claim affected
Parameters are non-identifiable	Model uniqueness	Profile likelihood and sensitivity	Mechanistic parameter claim
Feedback is not causal	Competing topology	Timed perturbation and washout	Network mechanism
Omics state is descriptive	Biological validity	Orthogonal assay and independent batch	Cell-state claim
Batch drives clustering	Technical robustness	Integration diagnostics and held-out batch	Population structure
Model lacks predictive test	Generalization	Prespecified out-of-sample trajectory	Forecast claim
Code cannot reproduce figure	Provenance	Tagged environment and pipeline	Reproducibility

Assign one owner across computation and experiment for each row. Otherwise, coauthors can produce individually competent changes that never resolve the shared uncertainty.

Tone calibration for MSB responses

Avoid	Better
"The reviewer is asking for an unrelated experiment."	"The requested assay measures abundance but does not distinguish the two network topologies. We added a timed perturbation that does and state the remaining abundance uncertainty."
"The model fits the data very well."	"Both models fit the training trajectory; only the feedback model predicts washout recovery. Figure 3 reports held-out error and parameter uncertainty."
"Batch effects were corrected."	"We report integration diagnostics, rerun the analysis without correction, and reproduce the state in a held-out batch with lower prevalence."
"All source data are available."	"Each figure panel maps to a named source-data file, and release v1.2 rebuilds Figures 2-5 from raw inputs."
"The mechanism is now proven."	"The perturbation supports feedback under the tested cell type and stress regime; alternative mechanisms outside that boundary remain possible."

Push back by identifying what evidence can discriminate the scientific alternatives. Cost or inconvenience alone is not a systems argument.

In our review work with MSB revisions

In our pre-submission and revision work with Molecular Systems Biology manuscripts, we audit the response, model equations, code, parameter files, perturbations, omics processing, figure panels, source data, and headline claims together. These are qualitative Manusights patterns, not MSB acceptance statistics or access to private peer-review files. The public transparent-review model lets authors compare the expected artifact shape with published process files.

Pattern 1: the MSB model and experiment are revised in parallel

Computational authors add sensitivity analysis while experimental authors add a validation assay, but the new experiment does not test a model prediction and the model does not incorporate the result. In Molecular Systems Biology revisions, we require a prediction-perturbation-update chain. The response names the competing models, the observation that separates them, the actual result, and the model or claim changed afterward.

Pattern 2: omics depth substitutes for orthogonal evidence

A reviewer questions whether a cell state, module, pathway, or regulator is biological. The revision adds more differential-expression plots, enrichment results, or latent-space views from the same dataset. We trace independence of evidence across assay, batch, cohort, perturbation, and analysis. For an MSB claim, another transformation of the same counts rarely supplies the missing biological test.

Pattern 3: one fitted model is treated as the mechanism

Several parameterizations or network structures explain the observed trajectories, yet the manuscript interprets one fit biologically. We inspect identifiability, sensitivity, priors, optimization starts, uncertainty, held-out predictions, and alternative topologies. The response should remove mechanistic interpretation for parameters the data cannot identify.

Pattern 4: the public response is clearer than the released analysis

The letter carefully describes a new pipeline, but repository defaults, environment files, source-data names, or figure scripts still reflect the original submission. We run a provenance map from raw input to each revised panel. Transparent prose is not reproducibility when the executable record points elsewhere.

The useful information gain is integration: the revision is complete only when model, perturbation, data, source files, and claim describe the same biological system and boundary.

Check the MSB response and integrated evidence chain before resubmission.

Handling reviewer disagreement

When one reviewer asks for more biological scope and another asks for a tighter model, summarize the shared uncertainty for the editor. One discriminating perturbation and a bounded claim may answer both better than a broad experimental expansion.

Do not hide conflicting requests in separate reviewer sections. The editor needs one systems-level revision plan across the reports.

Why an MSB revision can still be rejected

Revision does not guarantee acceptance. Rejection-on-revision risk remains when computation and experiment stay disconnected, the requested causal test is replaced with another association, source data cannot reconstruct figures, or negative evidence is added without narrowing the claim.

Most dangerous is a response that is exemplary as correspondence but documents a manuscript that still cannot support the systems-level conclusion.

Submit if; think twice if

Submit if: the model makes a discriminating prediction, the experiment tests it, the result updates the model or claim, omics discoveries have proportionate validation, and source data plus tagged code reproduce every revised panel.

Think twice if: computation and experiment remain parallel stories, parameter interpretation exceeds identifiability, another analysis of the same omics dataset stands in for independent evidence, or the public response promises a reproducible workflow that the repository cannot execute. Transparent review makes those inconsistencies durable rejection-on-revision risks.

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Final MSB revision audit

Put editor priorities before reviewer sections.
Link each concern to a prediction, perturbation, result, and claim.
Report parameter uncertainty and identifiability.
Distinguish omics discovery from orthogonal validation.
Test batch, cohort, condition, and model dependence.
Map every figure panel to source data and code.
Tag the executable revision environment.
Cite page, line, panel, equation, dataset, and repository version.
Preserve readable reviewer-author typography.
Write the response for a future public reader as well as the current reviewers.

How this page was reviewed

We reviewed current EMBO Press journal materials, transparent-review policy, and public Molecular Systems Biology Peer Review Process Files, then applied the model-experiment-source-data audit above. This page helps authors verify revision coherence; it does not estimate acceptance or replace the editor's instructions.

Measure this page after 14 final GSC days. At day 21, keep, revise, or stop based on indexing, query ownership, impressions, clicks, and qualified review starts. Four preview starts are a product-intent proxy, not exact-query demand proof.

EMBO Press sources establish the transparent-review context. The model-experiment ledger is Manusights analysis.

Frequently asked questions

Open with the editors' controlling systems-level issues, then answer every reviewer comment in order. For each point, state the scientific uncertainty, action, result, and exact page, line, figure, panel, model, dataset, or source-data location.

Molecular Systems Biology uses transparent peer-review practices and publishes Peer Review Process Files with accepted papers when applicable. Write the response as durable scientific correspondence: complete, professional, traceable, and understandable alongside the revised paper.

Yes, when the requested experiment cannot distinguish the proposed mechanism or falls outside the paper's systems boundary. Explain the uncertainty behind the request, provide the closest discriminating perturbation or analysis, and narrow the claim where evidence remains incomplete.

Expect scrutiny of whether computation and experiment are mutually informative, whether perturbations distinguish mechanism, whether omics findings have orthogonal validation, whether source data and code support reproduction, and whether the systems-level claim survives all added evidence.

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