ReviewAnnals of biomedical engineering2016
Multiscale Modeling in the Clinic: Drug Design and Development.
Review in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 59 citations in OpenAlex.
- Dose as a fundamental organizing principle in physiology: Implications for mechanism, disease, and precision medicine.Journal of precision medicine (Amsterdam, Netherlands) · 2026Article
- OPTIMIS: Optimizing Personalized Therapies through Integrated Multiscale Intelligent Simulation.bioRxiv : the preprint server for biology · 2026Article
- Spatial pharmacology of anti-cancer immunomodulators: a comprehensive review.Frontiers in pharmacology · 2026Review
- Assessment of the Anti-adipogenic Effect ofCurrent pharmaceutical biotechnology · 2025Article
- Computational modeling of drug-eluting balloons in peripheral artery disease: Mechanisms, optimization, and translational insights.Computational and structural biotechnology journal · 2025Review
- Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.Cancer biology & therapy · 2024Review
- Platelet Biorheology and Mechanobiology in Thrombosis and Hemostasis: Perspectives from Multiscale Computation.International journal of molecular sciences · 2024Review
- Engineering innovations in medicine and biology: Revolutionizing patient care through mechanical solutions.Heliyon · 2024Review
- Predicting Spray Dried Dispersion Particle Size Via Machine Learning Regression Methods.Pharmaceutical research · 2022Article
- Bioavailability by design - Vitamin DNanomedicine : nanotechnology, biology, and medicine · 2022Article
- Molecular determinants of pro-arrhythmia proclivity of d- and l-sotalol via a multi-scale modeling pipeline.Journal of molecular and cellular cardiology · 2021Article
- Mechanisms of flecainide induced negative inotropy: An in silico study.Journal of molecular and cellular cardiology · 2021Article
- Atomistic Basis of Microtubule Dynamic Instability Assessed Via Multiscale Modeling.Annals of biomedical engineering · 2021Article
- Organization of the Pluripotent Genome.Cold Spring Harbor perspectives in biology · 2021Review
- Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020Review
- Combination of "generalized Trotter operator splitting" and "quadratic adaptive algorithm" method for tradeoff among speedup, stability, and accuracy in the Markov chain model of sodium ion channels in the ventricular cell model.Medical & biological engineering & computing · 2020Article
- Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses.Briefings in bioinformatics · 2020Review
- Quantitative prediction of human pharmacokinetic responses to drugs via fluidically coupled vascularized organ chips.Nature biomedical engineering · 2020Article
- A Review on Applications of Computational Methods in Drug Screening and Design.Molecules (Basel, Switzerland) · 2020Review
- Challenges and advances in atomistic simulations of potassium and sodium ion channel gating and permeation.The Journal of physiology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 9 institutions in 1 country.
Funding
Abstract
A wide range of length and time scales are relevant to pharmacology, especially in drug development, drug design and drug delivery. Therefore, multiscale computational modeling and simulation methods and paradigms that advance the linkage of phenomena occurring at these multiple scales have become increasingly important. Multiscale approaches present in silico opportunities to advance laboratory research to bedside clinical applications in pharmaceuticals research. This is achievable through the capability of modeling to reveal phenomena occurring across multiple spatial and temporal scales, which are not otherwise readily accessible to experimentation. The resultant models, when validated, are capable of making testable predictions to guide drug design and delivery. In this review we describe the goals, methods, and opportunities of multiscale modeling in drug design and development. We demonstrate the impact of multiple scales of modeling in this field. We indicate the common mathematical and computational techniques employed for multiscale modeling approaches used in pharmacometric and systems pharmacology models in drug development and present several examples illustrating the current state-of-the-art models for (1) excitable systems and applications in cardiac disease; (2) stem cell driven complex biosystems; (3) nanoparticle delivery, with applications to angiogenesis and cancer therapy; (4) host-pathogen interactions and their use in metabolic disorders, inflammation and sepsis; and (5) computer-aided design of nanomedical systems. We conclude with a focus on barriers to successful clinical translation of drug development, drug design and drug delivery multiscale models.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.