Journal of In-vitro In-vivo In-silico Journal

Aims and Scope

In-vitro In-vivo In-silico Journal accepts and distributes articles in the form of Original Research, Reviews, Literature review, Conference proceedings, Case reports, Short communication, Thesis, Letters to the editor, and Editorials, encompassing theoretical and methodological research. The term "in silico" is a parallel to "in vivo" (in the living system) and "in vitro" (in the test tube) biological experiments, and suggests the growth of observations by computer-based simulations and model investigations.

The journal encourages the sharing of cutting-edge research and updates by scientists, pharmaceutical companies, regulators, and other stakeholders with an interest in treating, preventing, and diagnosing diseases. IIIJ provides an open platform for the exchange of ideas, discussion, and debate about developments in the field of drug discovery. The journal’s scope covers a wide range of topics, from animal studies and toxicity assessment to pharmacological and toxicological testing and pharmacokinetic-pharmacodynamic modeling of new drug candidates.

IIIJ welcomes submissions from researchers worldwide. Submissions should focus on the development and optimization of novel therapies and medicines and explore the regulations, clinical implications, and ethical considerations related to drug development. Providing an open-access platform will help to accelerate progress in the field and bring us closer to cures for life-threatening diseases. 

Keywords were outlined that suit the scope of the journal, not restricted to them. For further queries, contact us at [email protected]

• Artificial insemination
• Polycystic ovarian syndrome
• Implantation
• IVF treatment
• Experimental Design
• Precision Medicine
• Pharmacogenomics
• Histopathology
• Pharmaceutics
• Medicinal Chemistry
• Food Chemistry
• Genotoxicity
• Frozen embryo transfer
• Pharmacognosy
• Nuclear Pharmacy
• Enzyme Inhibition
• Ovulation induction
• Gamete intrafallopian transfer
• Antimicrobial Agents
• Assisted hatching
• Cheminformatics
• Fertility surgery
• Computational analysis
• Assisted reproductive technology (ART)
• Cleavage stage embryo
• Single embryo transfer
• Network pharmacology
• DNA damage and repair
• Karyomapping
• In vitro testing methods
• In vivo animal models
• Computational modeling of biological systems
• Insilico drug discovery
• Pharmacokinetics and pharmacodynamics modeling
• Toxicology screening using invitro methods
• Molecular docking simulations
• Insilico protein structure prediction
• Drug design using molecular modeling
• Gene expression analysis using invitro assays
• Insilico screening of natural compounds
• Clinical trial simulations
• Drug metabolism prediction using computational models
• Invitro cancer models
• In vivo imaging techniques
• Insilico virtual screening
• Quantitative structure-activity relationship modeling
• Invitro organ-on-a-chip technology
• In vivo electrophysiology techniques
• Insilico network analysis
• Pharmacophore modeling
• Invitro biomarker discovery
• In vivo physiology measurements
• Insilico systems biology
• Protein-ligand interaction simulations
• Invitro stem cell culture
• In vivo immunology assays
• Insilico high-throughput screening
• Quantitative systems pharmacology modeling
• Invitro microfluidic technology
• In vivo optogenetics techniques
• Insilico molecular dynamics simulations
• Genome-wide association studies using invitro assays
• Insilico protein-protein interaction analysis
• Invitro bioassays for drug development
• In vivo pharmacology studies
• Insilico transcriptomics analysis
• Invitro drug metabolism studies
• In vivo neuroscience techniques
• Insilico pathway analysis
• High-content screening using invitro methods
• In vivo behavioral assays
• Insilico bioinformatics analysis
• Invitro epigenetic studies
• Insilico homology modeling
• In vivo cardiac physiology measurements
• Invitro multi-omics analysis
• Insilico evolutionary biology analysis
• In vivo circadian rhythm studies
• Insilico metabolic pathway analysis