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WebMaBoSS is an easy-to-use web interface for conversion, storage, simulation and analysis of Boolean models that allows to get insight from these models without any specific knowledge of modeling or coding. It relies on an existing software, MaBoSS, which simulates Boolean models using a stochastic approach: it applies continuous time Markov processes over the Boolean network. It was initially built to fill the gap between Boolean and continuous formalisms, i.e., providing semi-quantitative results using a simple representation with a minimum number of parameters to fit. The goal of WebMaBoSS is to simplify the use and the analysis of Boolean models coping with two main issues: 1) the simulation of Boolean models of intracellular processes with MaBoSS, or any modeling tool, may appear as non-intuitive for non-experts; 2) the simulation of already-published models available in current model databases (e.g., Cell Collective, BioModels) may require some extra steps to ensure compatibility with modeling tools such as MaBoSS. With WebMaBoSS, new models can be created or imported directly from existing databases. They can then be simulated, modified and stored in personal folders. Model simulations are performed easily, results visualized interactively, and figures can be exported in a preferred format. Extensive model analyses such as mutant screening or parameter sensitivity can also be performed. For all these tasks, results are stored and can be subsequently filtered to look for specific outputs. This web interface can be accessed at the address: https://maboss.curie.fr/webmaboss/ and deployed locally using docker. This application is open-source under LGPL license, and available at https://github.com/sysbio-curie/WebMaBoSS.
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http://dx.doi.org/10.3389/fmolb.2021.754444 | DOI Listing |
J Theor Biol
September 2025
Department of Bioengineering, Indian Institute of Science, Bengaluru 560012, India. Electronic address:
Several computational models are available for representing the gene expression process, with each having their advantages and disadvantages. Phenomenological models are widely used as they make appropriate simplifications that aim to find a middle ground between accuracy and complexity. The existing phenomenological models compete in terms of how the transcription initiation process is approximated, to achieve high accuracy while having the lowest complexity possible.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Biological Sciences, University of Limerick, Limerick, Ireland.
This study investigates the interaction between circadian rhythms and lipid metabolism disruptions in the context of obesity. Obesity is known to interfere with daily rhythmicity, a crucial process for maintaining brain homeostasis. To better understand this relationship, we analyzed transcriptional data from mice fed with normal or high-fat diet, focusing on the mechanisms linking genes involved with those regulating circadian rhythms.
View Article and Find Full Text PDFPLoS One
September 2025
Information Technologies and Programming Faculty, ITMO University, Saint Petersburg, Russia.
In the paper we consider the well-known Influence Maximization (IM) and Target Set Selection (TSS) problems for Boolean networks under Deterministic Linear Threshold Model (DLTM). The main novelty of our paper is that we state these problems in the context of pseudo-Boolean optimization and solve them using evolutionary algorithms in combination with the known greedy heuristic. We also propose a new variant of (1 + 1)-Evolutionary Algorithm, which is designed to optimize a fitness function on the subset of the Boolean hypercube comprised of vectors of a fixed Hamming weight.
View Article and Find Full Text PDFFront Pharmacol
August 2025
School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, Singapore.
Objective: To provide a comprehensive narrative synthesis of recent advances in the pharmacological actions and therapeutic potential of natural flavonoids in atopic dermatitis (AD), with emphasis on their multi-target pharmacological effects across core pathological mechanisms. The review also addresses pharmacokinetic limitations, formulation challenges, delivery innovations, safety concerns, and emerging clinical evidence to inform translational research and therapeutic development.
Methods: This narrative review is based on a targeted literature search of PubMed, Web of Science, ScienceDirect, and SpringerLink, covering English-language, peer-reviewed articles published between 2010 and 2025.
Cureus
August 2025
Department of Teaching and Research, The Second People's Hospital of Wuhu, Wuhu Hospital Affiliated to East China Normal University, Wuhu, CHN.
Narrative medicine is defined as a medical approach that utilizes the power of stories, both patients' illness narratives and healthcare providers' reflective accounts, to promote healing, foster empathy, and enhance the therapeutic relationship through close attention to the language, metaphor, and meaning embedded in illness experiences. Despite its growing importance in contemporary healthcare, comprehensive bibliometric analyses of narrative medicine research trends remain limited. This study aims to systematically map global research patterns, identify key contributors, and analyze thematic evolution in narrative medicine literature over the past two decades.
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