BioSystems encourages theoretical, computational, and experimental articles that link biology, evolutionary concepts, and the information sciences. The journal is dedicated to publishing research on self-organizing information systems—with the goal of obtaining a better understanding of the origins of biochemical, genetic, epigenetic, physiological, cognitive, linguistic, sociocultural, and biological organization and evolution.The scope of the journal encompasses the fundamental nature of biological information and (self)-organization. This includes quantum phenomena in information transfer, natural computing, biological coding systems, biological complexity, theoretical biology, artificial life, computational modeling of complex biological systems, evolutionary models of computation, application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.The journal does not publish purely medical, computational, or ecological research, unless it is clearly linked to the basic and conceptual aspects of biological organization.The editors encourage articles that deal, in particular, with the following topics:Biological computationMolecular recognitionPhysical foundations of biologyQuantum phenomena in biological systemsCellular controlNeuromolecula... computingBiological coding systemsMolecular computing processesSelf-organi... and self-replicating systemsOrigin of the genetic codeOrigins and evolution of genomesStochastic evolutionary algorithmsOrigins and evolution of mind and languageEcological evolutionary developmental biologyReticulate evolution (symbiosis, symbiogenesis, lateral gene transfer)Simulation of genetic and ecological systemsApplications (neural nets, machine learning, robotics)History and philosophy of scienceIn addition, the editors encourage the following types of papers for submission: Papers that extract novel biological insights from multidimensional data, using AI-driven language modelsBiological hypothesis papers producing new insights based on a body of pre-existing empirical researchPerspectives papers intended to stimulate scientific discussions and provide guidelines for future directions
Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment.Scope:All effects relating to human health and environmental toxicity and fatePrediction of toxicity, metabolism, fate and physico-chemical propertiesThe development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale ModelsBig Data in toxicology: integration, management, analysisImplementati... of models through AOPs, IATA, TTCRegulatory acceptance of models: evaluation, verification and validationFrom metals, to small organic molecules to nanoparticlesPharmac... pesticides, foods, cosmetics, fine chemicalsBringing together the views of industry, regulators, academia, NGOs
Current Opinion in Systems Biology is a new review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is regularly reviewed.The following areas will be covered by Current Opinion in Systems Biology: • Genomics and Epigenomics • Gene Regulation • Metabolic Networks • Cancer and Systemic Diseases • Mathematical Modelling • Big Data Acquisition and Analysis • Systems Pharmacology and Physiology • Synthetic Biology • Stem Cells, Development, and Differentiation • Systems Biology of Model Organisms • Systems Immunology and Host-Pathogen Interaction • Systems Ecology and EvolutionSection Editors, who are major authorities in the field, are appointed by the Editors in Chief of the journal. They divide their sections into a number of topics, ensuring that the field is comprehensively covered and that all issues of current importance are emphasised. Section Editors commission reviews from authors on each topic that they have selected and arrange for the peer review process. The papers are reviewed by 2 independent reviewers.ReviewsAut... write short review articles in which they present recent developments in their subject, emphasizing the aspects that, in their opinion, are most important. In addition, they provide short annotations to the papers that they consider to be most interesting from all those published in their topic over the previous year.Opinion ArticlesAuthoritativ... opinion articles that provide an in-depth background and personal, well reasoned perspective on current, relevant as well as controversial topics within the themes of the journal will be written by the Editor-in-Chief and / or invited by the Editor-in-Chief.Edit... OverviewSection Editors write a short overview at the beginning of the section to introduce the reviews and to draw the reader's attention to any particular interesting developments.Invited authors are encouraged to visit our Guide for Authors for information on article submission.
Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
