ArticleCPT: pharmacometrics & systems pharmacology2012
Has the time come for predictive computer modeling in CNS drug discovery and development?
Article in CPT: pharmacometrics & systems pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Conceptual and organizational barriers to quantitative systems pharmacology modeling of pathophysiological systemic drug hypotheses.CPT: pharmacometrics & systems pharmacology · 2022Article
- Neuronal Circuit-Based Computer Modeling as a Phenotypic Strategy for CNS R&D.Frontiers in neuroscience · 2019Article
- Access to the CNS: Biomarker Strategies for Dopaminergic Treatments.Pharmaceutical research · 2018Review
- Multiscale Modeling in the Clinic: Drug Design and Development.Annals of biomedical engineering · 2016Review
- The promises of quantitative systems pharmacology modelling for drug development.Computational and structural biotechnology journal · 2016Review
- From integrative disease modeling to predictive, preventive, personalized and participatory (P4) medicine.The EPMA journal · 2013Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We discuss whether a new paradigm, quantitative systems pharmacology (QSP), based on computational neuroscience modeling combined with proper drug target engagement and pharmacology, human pathology, imaging studies, and calibration and validation using clinical studies in human subjects might improve the success rate of central nervous systems research and development (CNS R&D) projects. We suggest that an improved understanding of neuronal circuit interactions using a humanized computer-based integration of physiology and pharmacology knowledge can substantially de-risk new CNS projects.CPT: Pharmacometrics & Systems Pharmacology (2012) 1, e16; doi:10.1038/psp.2012.17; advance online publication 28 November 2012.
Identifiers
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.