Network and Pathway Modeling
Mechanistic and statistical models that explain system behavior across molecular and clinical scales.
Share impactful systems biology research for rigorous review and global open access visibility.
JSB invites high-quality manuscripts that advance systems-level discovery, modeling, and translational implementation.
Journal of Systems Biology welcomes clinical, translational, computational, and synthetic studies with measurable scientific and practical value.
Priority is given to submissions that combine methodological rigor with clear implications for model design, pathway inference, and implementation outcomes.
Interdisciplinary evidence connecting wet-lab biology, multi-omics analytics, clinical data, and computational modeling is strongly encouraged.
Mechanistic and statistical models that explain system behavior across molecular and clinical scales.
Studies integrating genomics, transcriptomics, proteomics, metabolomics, or imaging with robust analytical controls.
Longitudinal and perturbation-based analyses that reveal system-level response mechanisms.
Machine learning, probabilistic inference, and simulation workflows with transparent validation.
Research linking systems signatures to diagnostics, stratification, intervention design, or care pathways.
Evidence connecting systems findings to real-world adoption, governance, and health-service outcomes.
Editorial triage prioritizes clarity, rigor, reproducibility, and practical scientific relevance.
Submissions should explain how results influence system interpretation, model selection, or implementation decisions.
Studies with strong reproducibility documentation are highly valued during review and editorial decision-making.
Both routes are supported by the same editorial quality framework and review governance.
Recommended for teams requiring structured metadata entry, revision tracking, and institution-friendly workflow control.
A lightweight route for fast intake and direct editorial routing when teams prefer a simplified process.
Scope and formatting questions can be sent to [email protected] before upload to reduce avoidable delays.
Use these practical notes to improve clarity, policy alignment, and review efficiency before final upload.
Editorial planning insight: Strong papers explain how findings influence network model design, translational strategy, or implementation decision pathways. This approach helps editors and reviewers evaluate the manuscript faster without sacrificing rigor.
Author workflow guidance: Endpoint hierarchy and experimental rationale should be explicit to support reviewer assessment quality. Teams that apply this step early usually reduce revision friction and protect publication timelines.
Quality acceleration note: Submissions that address reproducibility, scale-up feasibility, or delivery challenges are encouraged. The same practice also improves metadata quality and downstream indexing discoverability.
Submission strategy point: Method transparency reduces avoidable revision cycles and improves editorial efficiency. It supports stronger decision transparency and more efficient peer-review communications.
Publication readiness reminder: Collaborative multi-lab studies should describe harmonization strategy for protocols and assays. This improves consistency between core manuscript sections and supporting files.
Operational recommendation: For call for papers planning, document reviewer-response changes against exact manuscript locations; state practical limitations and boundary conditions explicitly. This supports cleaner editorial decisions and faster acceptance readiness.
Reviewer-facing clarity note: For call for papers planning, confirm metadata fields and author identifiers before production lock; ensure data and code availability statements match policy language. This improves downstream indexing quality and retrieval relevance.
Production planning guidance: For call for papers planning, tighten conclusion language so claims remain proportional to data strength; ensure data and code availability statements match policy language. This improves downstream indexing quality and retrieval relevance.
Editorial planning insight: For call for papers planning, align title, abstract, and keyword language with the primary evidence claim; verify that tables, figures, and narrative statements remain consistent. This protects release schedules by reducing production-stage rework.
Author workflow guidance: For call for papers planning, map each major result to a clear methods description and reproducibility note; verify that tables, figures, and narrative statements remain consistent. This protects release schedules by reducing production-stage rework.
Quality acceleration note: For call for papers planning, separate prespecified analyses from exploratory findings in a traceable way; capture versioning notes where datasets or scripts may change over time. This increases trust for translational and evidence-synthesis readers.
Submission strategy point: For call for papers planning, synchronize figure legends, unit definitions, and supplementary references; capture versioning notes where datasets or scripts may change over time. This increases trust for translational and evidence-synthesis readers.
Publication readiness reminder: For call for papers planning, validate disclosure, funding, and ethics text before final upload; keep terminology stable across all manuscript files. This typically improves triage confidence and reviewer assignment precision.
Operational recommendation: For call for papers planning, document reviewer-response changes against exact manuscript locations; keep terminology stable across all manuscript files. This typically improves triage confidence and reviewer assignment precision.
Reviewer-facing clarity note: For call for papers planning, confirm metadata fields and author identifiers before production lock; define operational thresholds used in interpretation decisions. This reduces avoidable clarification loops during revision cycles.
Use Manuscriptzone or the simple form and move your manuscript into expert peer review.
Editorial office: [email protected]