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Elsevier

Journals in Bioinformatics and computational biology

  • Molecular and Biochemical Parasitology

    • ISSN: 0166-6851
    Molecular and Biochemical Parasitology provides a medium for rapid publication of investigations of the molecular biology and biochemistry of parasitic protozoa, fungi, helminths and ectoparasites, including molecular interactions between parasites and their definitive and intermediate hosts and their vectors.  This includes emerging or neglected eukaryotic pathogens.The main subject areas covered are:• The structure, biosynthesis, degradation, properties and function of parasite biomolecules - DNA, RNA, proteins, lipids, carbohydrates and small molecular-weight substances. This includes molecules of intermediary metabolism and bioenergetics. host-parasite relationships particularly as related to specific parasite molecules. • The response of host organisms to infection, and the response of host cells to intracellular parasites.  Included are studies on the detailed molecular mechanisms of anti-parasitic immune responses, parasite immune evasion, and host-pathogen signalling pathways.• “Omics” technologies and systems biology, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics of parasites and the host’s response to infection.• Vector-parasite relationships at the molecular level; this includes molecular studies on arthropod vectors that transmit parasites, especially those focusing on vector-parasite interactions, vector immunity, and vector control strategies.• Structural studies of parasite proteins and their interactions. • Drug target characterization and the mode of action of antiparasitic drugs; mechanisms of drug resistance; novel therapeutics including natural products, synthetic compounds, and vaccine candidates.  Please note that studies that are restricted to in silico docking of compounds or other purely computational approaches will not be accepted in the absence of some experimental validation.• Analysis of variation in parasite populations relevant to genetic exchange, pathogenesis, drug and vaccine target characterization, and drug resistance; please note that genetic variation data must be supported by phenotypic/experimen... data showing the effect of the variation, and that papers reporting solely on allele frequencies in specific regions will not be accepted.• Parasite protein trafficking, organelle and membrane biogenesis, and cellular structure especially with reference to the roles of specific molecules• Parasite programmed cell death, development, and cell division at the molecular level• Parasitic disease diagnostics, especially molecular diagnostics, biomarkers, and biosensors for parasite detection and disease monitoring.•Microbiomes of parasites, symbiotic relationships, and how microbiota influence parasite development and pathogenicity.• Environmental molecular parasitology, including studies linking molecular parasitology with ecological and environmental factors influencing parasite transmission, adaptation, and evolution.• Methods reports - descriptions of novel or newly-optimized methods with broad applicability to molecular and biochemical parasitologyPapers will only be accepted for publication if they fall within these areas, if they contain original and complete work of high scientific quality, and if they are well presented and clearly written in scientific English. Papers solely confirming the conserved functions of genes previously studied in other organisms will not be considered. We welcome short communications documenting a succinct but clear and important advance.
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  • Current Opinion in Systems Biology

    • ISSN: 2452-3100
    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.
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  • Computational Biology and Chemistry

    • ISSN: 1476-9271
    Computational Biology and Chemistry publishes high quality full-length articles and review articles in all areas of computational life sciences. It covers a very wide range of areas of research, including:Nucleic Acid and Protein Sequence ResearchMolecular EvolutionMolecular Genetics (Functional Genomics and Proteomics)Biology-S... Modeling Theory and PracticeChemical-Bio... Modeling Theory and PracticeStructural Biology of Nucleic Acids and ProteinsBioinformati... BiologyEcologyComput... PharmacologyComputat... Molecular BiophysicsMetabolism... EngineeringEpidemiol... GeneticsInnovative AI methodologies for biological data, biomolecular modelling and machine learning modelsGiven their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
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  • Journal of Microbiological Methods

    • ISSN: 0167-7012
    The Journal of Microbiological Methods publishes Research, Review and Short Communication articles on novel, state-of-the-art, and significantly improved methodologies in microbiology. Innovative, validated applications of existing methods that advance the field are also welcome. JMM considers research on all types of microorganisms including protozoa, fungi, bacteria, and viruses. Data must clearly support method interpretation and utility.The scope includes, but is not limited to:· Environmental, Agricultural & Ecological Microbiology: Applied and environmental microbiology, microbial ecology and diversity, soil/sediment/geomic... microbiomes, rumen microbiology, and methods for extreme environments including space missions.· Genetics, Molecular & Cellular Microbiology: Microbial genetics, genomics, molecular microbiology, physiology, ultrastructure, imaging, high-throughput sequencing, omics technologies (metabolomics, metagenomics, proteomics, transcriptomics), bioinformatics, and mathematical modeling.· Clinical, Medical, Veterinary & Public Health Microbiology: Diagnostics, clinical and veterinary microbiology, public health, vaccine development, sero-diagnostics, immunology, typing, and microbial identification.· Microbial Interactions & Pathogenesis: Host-pathogen interactions, microbiome interactions, plant-microbe relationships, parasitology, and mycology.· Virology: Innovative approaches for virus detection, isolation, quantification, and characterization, including molecular techniques, cell culture assays, viral genomics, imaging technologies, and high-throughput screening methods.· Technological Advances & Method Development: Bioassays, biosensors biochemical methods, sampling techniques, robotics, and radioisotope applications in microbiology.· Food Microbiology: Studies on the role of microorganisms in food production, preservation, spoilage, and foodborne illnesses.· Industrial Microbiology: Explores the industrial applications of microorganisms, such as in the production of pharmaceuticals, enzymes, and biofuels.· Mathematical modelling, computer science, and artificial intelligence techniques.We invite proposals for review articles and special issues on emerging microbiological methods driving scientific progress.
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  • Experimental Parasitology

    • ISSN: 0014-4894
    The main focus of Experimental Parasitology is experimental approaches to investigating different aspects of parasitology, including, but not limited to, those encompassed by molecular tools, cell biology, and immunology. The journal predominantly publishes Original Research Papers in which experimentation is used to investigate the physiological, metabolic, immunological, biochemical, nutritional, and chemotherapeutic aspects of parasites and host-parasite relationships. In addition, the journal welcomes Method Papers that describe new approaches to such investigations and Review Articles (short reviews, full reviews, and systematic reviews) that provide critical evaluation of published articles on a theme within the scope of the journal. Furthermore, the journal is open to publishing special issues or meeting reports within the themes of the journal. Please contact the editors for further information. See our Guide for Authors for further information on the different paper types accepted by Experimental Parasitology.
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  • BioSystems

    • ISSN: 0303-2647
    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
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