Bridging Molecular Biology and Machine Learning to Understand Brain Network Function and Plasticity
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Bioinformatics and Systems Biology".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 134
Special Issue Editor
Special Issue Information
Dear Colleagues,
Understanding how molecular programs scale to shape brain network function and experience-dependent plasticity requires the rigorous integration of biological experimentation and computational modeling. This Special Issue requests contributions that unite molecular biology, such as single-cell and spatial transcriptomics, proteomics, epigenomics, and signaling pathway analyses, with machine learning, network science, and multiscale modeling to uncover mechanisms linking genes and cell types to circuit dynamics and behavioral adaptation. We particularly encourage studies that integrate high-dimensional molecular data with functional readouts, including imaging, electrophysiology, connectomics, and clinical phenotyping.
All submissions must be grounded in real biological data. Manuscripts describing computational tools or algorithms developed solely on simulated datasets are discouraged. Discovery-driven articles are expected to provide novel and biologically meaningful insights into brain network function or plasticity. Studies that combine computational predictions with experimental validation—whether through independent datasets, perturbation experiments, or translational clinical evaluation—will receive especially favorable consideration.
By emphasizing data-driven, biologically validated advances, this Special Issue will accelerate mechanistic understanding of brain network plasticity and foster integrative frameworks that translate molecular discoveries into clinically and scientifically impactful outcomes.
Dr. Andrew Jeyabose
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- brain network plasticity
- molecular neuroscience
- machine learning in neuroscience
- multimodal data integration
- translational neuroscience
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