ETOX

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eTOX
Part of the Innovative Medicines Initiative
IMI eTOX toxicology consortium logo.png
Keywords Drug discovery, drug development
Project type Joint Technology Initiative
Funding agency Seventh Framework Programme
European Federation of Pharmaceutical Industries and Associations (EFPIA)
ObjectiveDevelop in silico strategies and software tools to predict the toxicological profiles of small molecules
Project coordinator Novartis, Bayer
ParticipantsEFPIA: AstraZeneca, Boehringer Ingelheim, Esteve, GlaxoSmithKline, Janssen Pharmaceutica, Lundbeck, Pfizer, Hoffmann-La Roche, UCB, Sanofi, Servier

Academia: Erasmus Universitair Medisch Centrum, Fraunhofer Gesellschaft, Fundació Institut Mar d'Investigacions Mèdiques, Fundación Centro Nacional de Investigaciones Oncológicas Carlos III, European Molecular Biology Laboratory, Liverpool John Moores University, Technical University of Denmark, Universitat Politècnica de Valencia, University of Leicester, Universität Wien, VU University Amsterdam

SME: Lhasa Limited,

Contents

Inte:Ligand, Molecular Networks, Chemotargets, Lead Molecular Design, Synapse Research Management Partners
Budget
  • Total: 6.9 million EUR
  • Funding: 18.7 million EUR
Duration2010 – 2016
Website www.e-tox.net

eTOX is a temporary consortium established in 2010 to share and use toxicology data. It is a pre-competitive collaboration which main goal is to create and distribute tools to predict drug side-effects based on pre-clinical experiments. Aims are a better in silico predictability of potential adverse events and a decrease of the use of animals in toxicological research. eTOX is funded by the Innovative Medicines Initiative (IMI). [1]

Goals

The official title of the consortium is "Integrating bioinformatics and chemoinformatics approaches for the development of expert systems allowing the in silico prediction of toxicities (eTOX)". eTOX aims at creating in silico tools to predict the toxicity of small molecules during early stages of the drug development pipeline. [2] The consortium is assembling predictive model based on a set of toxicology reports curated by pharmaceutical companies who joined the consortium. In the spirit of the IMI, eTOX bring together private companies producing preclinical data and academic partners experts on cheminformatics, bioinformatics and natural language processing. Contribution to public domain of algorithms, [3] [4] [5] software and ontologies [6] is part of the road-map.

Organization

To achieve these goal, a consortium bringing together 25 pharmaceutical companies, biotech companies and university was created. The project was started in 2010, it was originally funded for 5 years by consortium partners and the European Union. The consortium did benefit from an ENSO extension and will continue until end of 2016. Overall estimated budget is 18.7 million Euros.

Partners

eTOX is collaborating with OpenPHACTS, another IMI consortium to reuse publicly available clinical data. In 2014, the IMI iPiE (Intelligence-Led Assessment of Pharmaceuticals in the Environment) consortium was started, goals are similar to eTOX, but raw data are from chemical substances collected to comply with REACH [7] European regulation. It was agreed that a close collaboration for database development, predictive systems and intellectual property issues will take place.

Outcome and dissemination

The eTox project is currently running and is scheduled to finish in December 2016. Internal work is slowly becoming visible externally: as of August 2014, 3046 reports from 4291 animal studies were manually curated and stored in a database. [8] Two thousand more are being processed, and seventy-four models were built and validated, mostly based on public data. [8] The consortium has started to disseminate information and a review article about the project has been published. [2]

The list of scientific publications (including articles and talks) is accessible at the eTOX public website.

An external newsletter [ permanent dead link ] is released every 3 months with the main advances in the project, since November 2011.

The future

The United States Food and Drug Administration is going to ask for electronic submission of raw data from animal studies using the Standard for Exchange of Non-clinical Data in future investigational new drug and biologic license application submissions. This is widely seen as a potential game changer for the toxicology discipline where data exchange and data mining of large data-sets is not the norm. It could allow for the automatic import to a database like the eTOX one.

See also

Related Research Articles

<i>In vitro</i> Latin term meaning outside a natural biological environment

In vitro studies are performed with microorganisms, cells, or biological molecules outside their normal biological context. Colloquially called "test-tube experiments", these studies in biology and its subdisciplines are traditionally done in labware such as test tubes, flasks, Petri dishes, and microtiter plates. Studies conducted using components of an organism that have been isolated from their usual biological surroundings permit a more detailed or more convenient analysis than can be done with whole organisms; however, results obtained from in vitro experiments may not fully or accurately predict the effects on a whole organism. In contrast to in vitro experiments, in vivo studies are those conducted in living organisms, including humans, known as clinical trials, and whole plants.

<span class="mw-page-title-main">Pharmacology</span> Branch of biology concerning drugs

Pharmacology is a science of medical drug and medication, including a substance's origin, composition, pharmacokinetics, therapeutic use, and toxicology. More specifically, it is the study of the interactions that occur between a living organism and chemicals that affect normal or abnormal biochemical function. If substances have medicinal properties, they are considered pharmaceuticals.

<span class="mw-page-title-main">Toxicology</span> Study of substances harmful to living organisms

Toxicology is a scientific discipline, overlapping with biology, chemistry, pharmacology, and medicine, that involves the study of the adverse effects of chemical substances on living organisms and the practice of diagnosing and treating exposures to toxins and toxicants. The relationship between dose and its effects on the exposed organism is of high significance in toxicology. Factors that influence chemical toxicity include the dosage, duration of exposure, route of exposure, species, age, sex, and environment. Toxicologists are experts on poisons and poisoning. There is a movement for evidence-based toxicology as part of the larger movement towards evidence-based practices. Toxicology is currently contributing to the field of cancer research, since some toxins can be used as drugs for killing tumor cells. One prime example of this is ribosome-inactivating proteins, tested in the treatment of leukemia.

<span class="mw-page-title-main">Physiologically based pharmacokinetic modelling</span>

Physiologically based pharmacokinetic (PBPK) modeling is a mathematical modeling technique for predicting the absorption, distribution, metabolism and excretion (ADME) of synthetic or natural chemical substances in humans and other animal species. PBPK modeling is used in pharmaceutical research and drug development, and in health risk assessment for cosmetics or general chemicals.

Toxicogenomics is a subdiscipline of pharmacology that deals with the collection, interpretation, and storage of information about gene and protein activity within a particular cell or tissue of an organism in response to exposure to toxic substances. Toxicogenomics combines toxicology with genomics or other high-throughput molecular profiling technologies such as transcriptomics, proteomics and metabolomics. Toxicogenomics endeavors to elucidate the molecular mechanisms evolved in the expression of toxicity, and to derive molecular expression patterns that predict toxicity or the genetic susceptibility to it.

A toxicophore is a chemical structure or a portion of a structure that is related to the toxic properties of a chemical. Toxicophores can act directly or can require metabolic activation.

<span class="mw-page-title-main">Johnson & Johnson Pharmaceutical Research and Development</span>

Johnson & Johnson Pharmaceutical Research and Development (J&JPRD) is a subsidiary of Johnson & Johnson that is responsible for discovering and developing pharmaceutical drugs. J&JPRD has research sites located in Raritan, New Jersey, Titusville, New Jersey, Spring House, Pennsylvania, La Jolla, California, Beerse, Belgium and Toledo, Spain.

<span class="mw-page-title-main">Toxicology testing</span> Biochemical process

Toxicology testing, also known as safety assessment, or toxicity testing, is the process of determining the degree to which a substance of interest negatively impacts the normal biological functions of an organism, given a certain exposure duration, route of exposure, and substance concentration. Toxicology testing is often conducted by researchers who follow established toxicology test protocosl for a certain substance, mode of exposure, exposure environment, duration of exposure, a particular organism of interest, or for a particular developmental stage of interest. Toxicology testing is commonly conducted during preclinical development for a substance intended for human exposure. Stages of in silico, in vitro and in vivo research are conducted to determine safe exposure doses in model organisms. If necessary, the next phase of research involves human toxicology testing during a first-in-man study. Toxicology testing may be conducted by the pharmaceutical industry, biotechnology companies, contract research organizations, or environmental scientists.

<span class="mw-page-title-main">Innovative Medicines Initiative</span>

The Innovative Medicines Initiative (IMI) is a European initiative to improve the competitive situation of the European Union in the field of pharmaceutical research. The IMI is a joint initiative of the DG Research of the European Commission, representing the European Communities, and the European Federation of Pharmaceutical Industries and Associations (EFPIA). IMI is laid out as a Joint Technology Initiative within the Seventh Framework Programme. Michel Goldman was the first executive director, from September 2009 until December 2014.

Simcyp Limited is a research-based company which provides modelling and simulation software to the pharmaceutical industry for use during drug development. Simcyp is based in Sheffield, UK.

Safety pharmacology is a branch of pharmacology specialising in detecting and investigating potential undesirable pharmacodynamic effects of new chemical entities (NCEs) on physiological functions in relation to exposure in the therapeutic range and above.

Adverse event prediction is the process of identifying potential adverse events of an investigational drug before they actually occur in a clinical trial.

Biosimulation is a computer-aided mathematical simulation of biological processes and systems and thus is an integral part of systems biology. Due to the complexity of biological systems simplified models are often used, which should only be as complex as necessary.

Critical Path Institute (C-Path) is a non-profit organization created to improve the drug development process; its consortia include more than 1,600 scientists from government regulatory and research agencies, academia, patient organizations, and bio-pharmaceutical companies.

<span class="mw-page-title-main">Sean Ekins</span>

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The discipline of evidence-based toxicology (EBT) strives to transparently, consistently, and objectively assess available scientific evidence in order to answer questions in toxicology, the study of the adverse effects of chemical, physical, or biological agents on living organisms and the environment, including the prevention and amelioration of such effects. EBT has the potential to address concerns in the toxicological community about the limitations of current approaches to assessing the state of the science. These include concerns related to transparency in decision making, synthesis of different types of evidence, and the assessment of bias and credibility. Evidence-based toxicology has its roots in the larger movement towards evidence-based practices.

The non-profit Evidence-based Toxicology Collaboration (EBTC) comprises a group of scientists and experts with ties to governmental and non-governmental agencies, chemical and pharmaceutical companies, and academia that have banded together to promote the use of what are known as "evidence-based approaches" in toxicology. The discipline of evidence-based toxicology (EBT) is a process for transparently, consistently, and objectively assessing available scientific evidence in order to answer questions in toxicology. EBT has the potential to address concerns in the toxicological community about the limitations of current approaches. These include concerns related to transparency in decision making, synthesis of different types of evidence, and the assessment of bias and credibility. The evidence-based methods and approaches now being proposed for toxicology are widely used in medicine, which is the basis for their nomenclature. The need to improve how the performance of toxicological test methods is assessed was the main impetus for translating these tools to toxicology.

In vitro to in vivo extrapolation (IVIVE) refers to the qualitative or quantitative transposition of experimental results or observations made in vitro to predict phenomena in vivo, biological organisms.

<span class="mw-page-title-main">Adverse outcome pathway</span>

An adverse outcome pathway (AOP) is structured representation of biological events leading to adverse effects and is considered relevant to risk assessment. The AOP links in a linear way existing knowledge along one or more series of causally connected key events (KE) between two points — a molecular initiating event (MIE) and an adverse outcome (AO) that occur at a level of biological organization relevant to risk assessment. The linkage between the events is described by key event relationships (KER) that describe the causal relationships between the key events.

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References

  1. "eTOX - IMI - Innovative Medicines Initiative". europa.eu. Archived from the original on 25 March 2015. Retrieved 27 March 2015.
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  3. Carrió, P; Pinto, M; Ecker, G; Sanz, F; Pastor, M (2014). "Applicability Domain ANalysis (ADAN): A robust method for assessing the reliability of drug property predictions". Journal of Chemical Information and Modeling . 54 (5): 1500–11. doi:10.1021/ci500172z. PMID   24821140.
  4. Gautier, L; Taboureau, O; Audouze, K (2013). "The effect of network biology on drug toxicology". Expert Opinion on Drug Metabolism & Toxicology . 9 (11): 1409–18. doi:10.1517/17425255.2013.820704. PMID   23937336. S2CID   34642029.
  5. Vazquez, Miguel; Krallinger, Martin; Leitner, Florian; Valencia, Alfonso (2011). "Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications". Molecular Informatics . 30 (6–7): 506–519. doi:10.1002/minf.201100005. PMID   27467152. S2CID   35654190.
  6. Hardy, B; Apic, G; Carthew, P; Clark, D; Cook, D; Dix, I; Escher, S; Hastings, J; Heard, D. J.; Jeliazkova, N; Judson, P; Matis-Mitchell, S; Mitic, D; Myatt, G; Shah, I; Spjuth, O; Tcheremenskaia, O; Toldo, L; Watson, D; White, A; Yang, C (2012). "Toxicology ontology perspectives". ALTEX. 29 (2): 139–56. doi: 10.14573/altex.2012.2.139 . PMID   22562487.
  7. Nicolotti, O; Benfenati, E; Carotti, A; Gadaleta, D; Gissi, A; Mangiatordi, G. F.; Novellino, E (2014). "REACH and in silico methods: An attractive opportunity for medicinal chemists". Drug Discovery Today . 19 (11): 1757–68. doi:10.1016/j.drudis.2014.06.027. PMID   24998783.
  8. 1 2 Cases, M; Briggs, K; Steger-Hartmann, T; Pognan, F; Marc, P; Kleinöder, T; Schwab, C. H.; Pastor, M; Wichard, J; Sanz, F (2014). "The eTOX Data-Sharing Project to Advance in Silico Drug-Induced Toxicity Prediction". International Journal of Molecular Sciences. 15 (11): 21136–54. doi: 10.3390/ijms151121136 . PMC   4264217 . PMID   25405742.