The Fish In Vivo Biotransformation database is an Excel™ workbook and includes fish in vivo biotransformation data (whole body, biotransformation rate constant (kB) estimates). There are 1535 entries for 702 organic chemicals. The database has been compiled by ARC Arnot Research and Consulting Inc (Toronto, Canada) for EURL ECVAM (Joint Research Centre, F.3; contract number: CCR.F.C931336.X0) applying quality criteria as outlined in the spreadsheets. The data support chemical assessments and the development of non-animal methods.

Analysis of ‘EURL ECVAM Review of non-animal models in biomedical research - Breast Cancer’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/eurl-ecvam-review-of-non-animal-models-in-biomedical-research-breast-cancer on 12 November 2021.

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Breast cancer is the most common cancer among women in the European Union and worldwide. Preclinical breast cancer research currently relies on animal models, mostly rodents. However, animal models mimic limited aspects of human breast cancer. The European Commission’s Joint Research Centre (JRC) has carried out an extensive review of advanced non-animal models being used for basic and applied research into breast cancer. Researchers characterised and catalogued 935 models to make them more accessible for human relevant studies that avoid the use of animals. The review has been compiled by the ALTER-N.A.M. consortium for EURL ECVAM (Joint Research Centre, Directorate for Health, Consumers and Reference Materials, Chemicals Safety and Alternative Methods Unit; contract number:JRC/IPR/2018/F.3/0035/OC)

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The rodent In Vitro Intrinsic Clearance database is an Excel™ workbook and includes rodent (mouse, rat) in vitro intrinsic clearance rates derived with in vitro methods using rodent S9 fraction, hepatocytes, or microsomes. There are 8648 entries for approximately 6100 unique chemicals. The database has been compiled by ARC Arnot Research and Consulting Inc (Toronto, Canada) for EURL ECVAM (Joint Research Centre, F.3; contract number: CCR.F.C931336.X0) applying quality criteria as outlined in the spreadsheets.

The EURL ECVAM Genotoxicity and Carcinogenicity Consolidated Database is a structured master database that compiles available genotoxicity and carcinogenicity information, originating from different sources, for substances tested in the bacterial reverse mutation test (Ames test). The JRC presents here a new curated collection of 211 substances eliciting negative results in the Ames test. The collection adds to the previously published EURL ECVAM Genotoxicity and Carcinogenicity Consolidated Database of Ames positive substances (https://data.jrc.ec.europa.eu/dataset/jrc-eurl-ecvam-genotoxicity-carcinogenicity-ames) that has become, over the years, a reference for a number of activities in the area of genotoxicity testing across different product-type sectors, including regulatory initiatives, exploratory projects, development of testing strategies, and validation of new genotoxicity tests. Detailed information on the data and construction of the database are reported in Madia et al. 2020 https://doi.org/10.1016/j.mrgentox.2020.503199, recently published in Mutation Research - Genetic Toxicology and Environmental Mutagenesis journal.

On October 29, 2020, the database was updated. The overall call for Benzoin, in vivo UDS, should be [-]. Thus, in the table: Column CC, row 31: change “[+] in rat hepatocytes#Glauert et al. 1985” to “[+] in vitro rat hepatocytes#Glauert et al. 1985” . Column CD, row 31: change “[+]” to “[-]”.

Repeated dose toxicity studies in animals form the basis of chemical safety evaluations. Many parameters can be measured and analysed to assess the potential of the test chemical to cause adverse effects in the test animals and predict potential adverse effects in humans. However, these parameters can be quite general in nature and are not necessarily always helpful in understanding the mechanism(s) of the toxicities observed. In this study we analysed the parameters measured in animal studies and attempted to map these to more mechanistically informative endpoints. The study was conducted by collecting relevant mechanistic data from literature, public and private databases. The scope was limited to the liver, cardiovascular system, kidney and lung, and the oral route of exposure. The ultimate goal was to better understand the nature of chronic toxicity to facilitate and expedite the development of human-centric non-animal prediction models.

The EURL ECVAM Genotoxicity and Carcinogenicity Consolidated Database is a structured master database that compiles available genotoxicity and carcinogenicity data for Ames positive chemicals originating from different sources. By using a harmonised format to capture the information, this database represents a powerful resource for data analysis that can be used to guide a thorough evaluation of genotoxicity and carcinogenicity. The database is intended as a resource for evaluating the predictivity of the Ames test for in vivo genotoxicity and carcinogenicity when considered alone or in association with in vitro mammalian cell assays (gene mutation and clastogenicity/aneugenicity) and for better characterisation of those cases where the Ames test leads to irrelevant ('false positive') results. The database may also serve as a platform for detailed structural characterisation of specific groups of compounds with or without carcinogenic or genotoxic activity. Available here is also the Carcinogenicity Genotoxicity eXperience (CGX) dataset, previously hosted in the Lhasa Limited Site.

The Fish In Vitro Intrinsic Clearance database is an Excel™ workbook and includes fish in vitro intrinsic clearance rates derived with in-vitro methods using fish S9 fraction, hepatocytes, or microsomes. There are approximately 960 entries for 232 unique chemicals. The database has been compiled by ARC Arnot Research and Consulting Inc (Toronto, Canada) for EURL ECVAM (Joint Research Centre, F.3; contract number: CCR.F.C931336.X0) applying quality criteria as outlined in the spreadsheets. The EURL ECVAM Fish In Vitro Intrinsic Clearance database supports the two OECD test guidelines using cryopreserved hepatocytes (OECD TG 319A; https://doi.org/10.1787/9789264303218-en) or S9 fractions (OECD TG 319B; https://doi.org/10.1787/9789264303232-en) from rainbow trouts to determine in vitro intrinsic clearance. The test guidelines are accompanied by a guidance document (OECD GD 280; http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=ENV%2FJM%2FMONO%282018%2912&doclanguage=en).

The Rodent In Vivo Biotransformation database is an Excel™ workbook and includes rodent (mouse, rat) in vivo biotransformation data (clearance or elimination or half-life, and in most entries additional TK parameters relating to the reported clearance value). There are 2442 entries for approximately 568 unique chemicals. The database has been compiled by ARC Arnot Research and Consulting Inc (Toronto, Canada) for EURL ECVAM (Joint Research Centre, F.3; contract number: CCR.F.C931336.X0) applying quality criteria as outlined in the spreadsheets.

Biomedical research is extremely resource intensive. Therefore, monitoring its outputs and impacts can be considered a priority to gain an understanding of the most productive research avenues worth investing in.

For this reason, in 2019 the European Commission’s Joint Research Centre (JRC), through its European Union Reference Laboratory for alternatives to animal testing (EURL ECVAM), initiated a project to define suitable and reliable indicators to measure the innovation and impact of EU-funded research in three areas of biomedical research: Alzheimer’s disease, breast cancer and prostate cancer. These diseases are highly prevalent, representing a heavy societal and economic burden for Europe, and have attracted a large share of the investments made through several Commission funding programmes.

A set of 14 indicators was built that cover different scientific and societal aspects. This dataset provides the main data used to select, refine and implement these indicators as described in the JRC report "Building indicators to assess the impact of EU-funded research into Alzheimer's disease, Brest cancer and Prostate cancer". This dataset can also be used to generate additional indicators and insight through an integrated analysis applied to the abovementioned biomedical research areas.

Respiratory diseases are a leading cause of death and disability worldwide. Research on human diseases relies extensively on animal models, however, effective new therapies for serious respiratory conditions are still lacking. The European Commission’s Joint Research Centre (JRC) has carried out an extensive review of advanced non-animal models being used for basic and applied research into respiratory tract diseases. Researchers characterised and catalogued 284 models to make them more accessible for human relevant studies that avoid the use of animals. The review has been compiled by EcoMole Ltd, Humane Society UK, and Prof Ian Adcock (Imperial College London UK) for EURL ECVAM (Joint Research Centre, Directorate for Health, Consumers and Reference Materials, Chemicals Safety and Alternative Methods Unit; contract number: JRC/IPR/2017/F.3/0050/O)

In the context of the European Commission's Communication published in response to the European Citizens' Initiative "Stop Vivisection", Action 1 aimed to conduct an assessment of current technologies, information sources and networks from all relevant sectors with potential impact on the advancement of the refinement, reduction and replacement of animals used for scientific purposes (the "Three Rs"). The main objective of this study is to map knowledge sources relevant to the Three Rs, to examine how knowledge is being shared, and to identify possible gaps and opportunities to enhance knowledge sharing. An inventory of knowledge sources (KS) potentially relevant to the Three Rs used in the area of life sciences has been compiled which should be viewed as a snapshot of the current status of knowledge sources available (the supply), and as a starting point for further analysis of knowledge sharing strategies.

The ECVAM KinParDB contains kinetic parameters on 100 chemicals (pharma, pesticides, industrial chemicals as well as environmental contaminants), each of which has been or still is used in various ECVAM validation programs. The database is searchable for names and CAS-numbers and provides detailed information on kinetic parameters. It provides as well the experimental details underlying the generation of the kinetic data that were used to derive the kinetic parameters.

Tá paraiméadair chinéiteacha ag ECVAM KinParDB maidir le 100 ceimiceán (cógaisíocht, lotnaidicídí, ceimiceáin thionsclaíocha chomh maith le héilleáin chomhshaoil), ar úsáideadh nó a n-úsáidtear gach ceann acu fós i gcláir bhailíochtaithe ECVAM éagsúla. Tá an bunachar sonraí inchuardaithe le haghaidh ainmneacha agus uimhreacha CAS agus soláthraíonn sé faisnéis mhionsonraithe faoi pharaiméadair chinéiteacha. Soláthraíonn sé freisin na sonraí turgnamhacha atá mar bhunús le giniúint na sonraí cinéiteacha a úsáideadh chun na paraiméadair chinéiteacha a dhíorthú.

The supplementary materials of the Nanocomput report comprise: S1: Inventory of Quantitative Structure-Property Relationship (QSPR) and Quantitative Structure-Activity Relationship (QSAR) models (Excel workbook) S2: Model inventories for physiologically based kinetic (PBK) models, dosimetry models and environmental fate models (Excel workbooks) S3: Individual QSPR/QSAR model descriptions in document format (pdf file). S4: Dataset for the multi-walled carbon nanotube (MWCNT) read-across case study (Excel workbook).

Nanotietokoneraportin lisämateriaalit koostuvat seuraavista: S1: Inventory of Quantitative Structure-Property Relationship (QSPR) and Quantitative Structure-Activity Relationship (QSAR) models (Excel-työkirja) Näytä tarkat tiedot S2: Malli-inventaariot fysiologisesti perustuville kineettisille (PBK) malleille, annosmittausmalleille ja ympäristön kohtalomalleille (Excel-työkirjat) S3: Yksittäiset QSPR/QSAR-mallikuvaukset dokumenttimuodossa (pdf-tiedosto). S4: Moniseinäisen hiilinanoputkitutkimuksen (MWCNT) datajoukko (Excel-työkirja).