BioModels is a repository of mathematical models of biological and biomedical systems. It hosts a vast selection of existing literature-based physiologically and pharmaceutically relevant mechanistic models in standard formats. Our mission is to provide the systems modelling community with reproducible, high-quality, freely-accessible models published in the scientific literature. More information about BioModels can be found in the FAQ.

Model of the month

November, 2019

One aspect of reinforcement learning is the reward prediction error (RPE), characterised neurophysiologically by transient changes in neuromodulators such as dopamine, acetylcholine and adenosine that act upon receptors expressed by medium spiny neurons. Extracellular binding of these neuromodulators is transduced intracellularly by GPCRs and converge on the adenylyl cyclase/cAMP/PKA pathway, with PKA activation in MSNs being crucial for long-term plasticity and learning. This model studies how interactions between the different neuromodulators can mediate signal filtering, PKA activation, and the production of RPEs essential for reinforcement learning.

News

Planned upgrades to BioModels

The new website will transition from beta to production on 25 June 2018.
12 Jun 2018 at 11:02

Patient-derived genome-scale metabolic models

BioModels now hosts 6753 models derived from biological samples collected from patients.
21 Aug 2017 at 10:00

31st release of BioModels

We are extremely happy to announce the 31st release of BioModels!
26 Jun 2017 at 02:20

Metabolic networks and logical models have been published

The metabolic network and logical models hosted in the literature-based branch of BioModels can now be downloaded from our FTP server.
16 Jan 2017 at 04:15

Mechanistic models on neurodegenerative disease processes published

The paper, entitled Mechanistic models on neurodegenerative disease processes, available from CPT:PSP
09 Jan 2017 at 09:03

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