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https://datashare.nida.nih.gov

Website which allows data from completed clinical trials to be distributed to investigators and public. Researchers can download de-identified data from completed NIDA clinical trial studies to conduct analyses that improve quality of drug abuse treatment. Incorporates data from Division of Therapeutics and Medical Consequences and Center for Clinical Trials Network.

Proper citation: NIDA Data Share (RRID:SCR_002002) Copy   

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http://www.inoh.org

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. INOH (Integrating Network Objects with Hierarchies) is a pathway database of model organisms including human, mouse, rat and others. In INOH, the term pathway refers to higher order functional knowledge such as relationships among multiple bio-molecules that constitute signal transduction pathways or biological events in general. As most part of this knowledge resides in scientific articles, the database focuses on curating and encoding textual knowledge into a machine-processable form. The system provides pathway information as a composite of biological events, since functional knowledge is usually described as a set of fragmented processes. Each event is annotated with entries of a event ontology, which also has links to GO.

Proper citation: Integrating Network Objects with Hierarchies (RRID:SCR_002084) Copy   

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http://www.cnsforum.com/

Forum within psychiatry and neurology aimed at providing updated evidence-based educational resources and information for health care professionals including an opportunity to exchange knowledge and experiences online. The CNSforum includes Educational resources, Clinical resources, Patient Websites, Publications, and a Community forum. Educational resources: * Brain Explorer - A graphical and educational presentation of the brain and the disorders affecting it, aimed at GPs and specialists in training. * Image Bank - A collection of CNS images for download and free use in presentations. Expert Talks Online presentations by leading experts on scientific topics. * Journal Links - A collection of links to websites of scientific journals in neurology and psychiatry. * Film Forum - Specialists discuss mainstream films with a psychiatric or neurological element from an educational point of view. Clinical resources: * Psychiatry Quality Measurement, PQM PQM is and electronic patient database/journal for use by psychiatrists. * Psychotropics - A database of psychotropic and neurological drugs. Rating scales Descriptions of and references to central scales used in psychiatry and neurology as well as an introduction to the topic. * Commented Articles - Commented articles written for CNSforum by leading international specialists. Patient Websites: * DepNet - An online community and information website for people affected by depression. * DementiaNet - An online community and information website for people affected by dementia and their relatives. * Publications (A catalogue of The Lundbeck Institute's publications on topics of clinical relevance in psychiatry and neurology.) * Institute Books, Institute Magazine Community forum: available only for former seminar participants and other members of The Lundbeck Institute Network., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: CNS Forum (RRID:SCR_002777) Copy   

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http://ntp.niehs.nih.gov/

The NTP is an interagency program whose mission is to evaluate agents of public health concern by developing and applying tools of modern toxicology and molecular biology. The program maintains an objective, science-based approach in dealing with critical issues in toxicology and is committed to using the best science available to prioritize, design, conduct, and interpret its studies. To that end, the NTP is continually evolving to remain at the cutting edge of scientific research and to develop and apply new technologies. More than 80,000 chemicals are registered for use in the United States. Each year, an estimated 2,000 new ones are introduced for use in such everyday items as foods, personal care products, prescription drugs, household cleaners, and lawn care products. We do not know the effects of many of these chemicals on our health, yet we may be exposed to them while manufacturing, distributing, using, and disposing of them or when they become pollutants in our air, water, or soil. Relatively few chemicals are thought to pose a significant risk to human health. However, safeguarding public health depends on identifying both what the effects of these chemicals are and at what levels of exposure they may become hazardous to humansthat is, understanding their toxicology. The program was created as a cooperative effort to: 1. Coordinate toxicology testing programs within the federal government. 2. Strengthen the science base in toxicology. 3. Develop and validate improved testing methods. 4. Provide information about potentially toxic chemicals to health, regulatory, and research agencies, scientific and medical communities, and the public. The need for a program like the NTP arose because of increasing scientific, regulatory, and Congressional concerns about the human health effects of chemical agents in our environment. Many human diseases were thought to be directly or indirectly related to chemical exposures; therefore, it was thought that decreasing or eliminating human exposures to those chemicals would help prevent some human disease and disability. Testing Information The NTP is an interagency program whose mission is to evaluate agents of public health concern by developing and applying the tools of modern toxicology and molecular biology. This involves conducting toxicological evaluations of substances of public health concern, developing and validating improved (sensitive, specific, rapid) testing methods, developing approaches and generating data to strengthen the science base for risk assessment, and communicating with all stakeholders. The NTP plays a critical role in providing needed scientific data, interpretations, and guidance concerning the appropriate uses of data to regulatory agencies and other groups involved with health-related research. Through its interactive relationship with regulatory agencies, the NTP plays an indirect, but important role in shaping public health policy. Study Data Searches The National Toxicology Program makes available data from more than 500 two-year, two species, toxicology and carcinogenesis studies collected by the NTP and its predecessor, the National Cancer Institute's Carcinogenesis Testing Program, are stored in a database at NIEHS. The NTP database also contains the results collected on approximately 300 toxicity studies from shorter duration tests and from genetic toxicity studies, which includes both in vitro and in vivo tests. In addition, test data from the immunotoxicity, developmental toxicity and reproductive toxicity studies are continually being added to this database. Partnerships Through relationships with regulatory agencies, the NTP has an indirect role in shaping public health policy. Federal and state government agencies rely on the scientific knowledge and its interpretation provided by the NTP to make credible decisions that protect public health and the environment. The NTP also plays a critical role in: 1. Fostering interagency collaborations in research and exposure assessment 2. Providing information to regulatory agencies about alternative methods for toxicity testing, interpretation 3. Exploring new technologies for evaluating how environmental agents cause disease NTP conferences and workshops provide an opportunity for researchers, regulatory, policy makers, and the public to examine issues together, exchange information, and reach agreement on future directions of toxicology and risk assessment. Postdoctoral Training Program Opportunities Applied Toxicology and Carcinogenesis Training Program Fellowship in Toxicological Pathology Fellowship in Laboratory Animal Medicine

Proper citation: National Toxicology Program: Department of Health and Human Services (RRID:SCR_002616) Copy   

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http://www.hgsc.bcm.tmc.edu/content/honey-bee-genome-project

The HGSC has sequenced the honey bee, Apis mellifera. The version 4.0 assembly was released in March 2006 and published in October 2006. The genome sequence is being upgraded with additional sequence coverage. The honey bee is important in the agricultural community as a producer of honey and as a facilitator of pollination. It is a model organism for studying the following human health issues: immunity, allergic reaction, antibiotic resistance, development, mental health, longevity and diseases of the X chromosome. In addition, biologists are interested in the honey bee's social organization and behavioral traits. This project was proposed to the HGSC by a group of dedicated insect biologists, headed by Gene Robinson. Following a workshop at the HGSC and a honey bee white paper, the HGSC began the project in 2002. A 6-fold coverage WGS, BAC sequence from pooled arrays, and an initial genome assembly (Amel_v1.0) were released beginning in 2003. This has been a challenging project with difficulty in recovering AT-rich regions. The WGS data had lower coverage in AT-rich regions and BAC data from clones showed evidence of internal deletions. Additional reads from AT enriched DNA addressed these underrepresented regions. The current assembly Amel_4.0 was produced with Atlas and includes 2.7 million reads (1.8 Gb) or 7.5x coverage of the (clonable) genome. About 97% of STSs, 98% of ESTs, and 96% of cDNAs are represented in the 231 Mb assembly. About 2,500 reads were also produced from a strain of Africanized honey bee and SNPs were extracted. These were released in dbSNP and the NCBI Trace Archive. Analysis of the genome by a consortium of 20 labs has been completed. This produced a gene list derived from five different methods melded through the GLEAN software. Publications include a main paper in Nature and up to forty companion papers in Genome Research and Insect Molecular Biology. Sponsors: Sequencing of the honey bee is jointly funded by National Human Genome Research Institute (NHGRI) and the Department of Agriculture (USDA). Multiple drones from the same queen (strain DH4) were obtained from Danny Weaver of B. Weaver Apiaries. All libraries were made from DNA isolated from these drones. The honey bee BAC library (CHORI-224) was prepared by Pieter de Jong and Katzutoyo Osoegawa at the Children's Hospital Oakland Research Institute.

Proper citation: Honey Bee Genome Project (RRID:SCR_002890) Copy   

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http://senselab.med.yale.edu/neurondb

Database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

Proper citation: NeuronDB (RRID:SCR_003105) Copy   

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http://www.mrc-cbu.cam.ac.uk/Imaging

Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease.

Proper citation: CBU Imaging Wiki (RRID:SCR_003014) Copy   

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http://www.pathway.com/

The mission of Pathway Genomics is to empower you with the most secure, comprehensive and affordable personal genomic information available and to become your partner in utilizing that information to improve your health and wellness. Pathway is the only DNA testing service with an on-site federal and state CLIA-licensed laboratory. This means it offers: - Better Science: Its certified geneticists are on-staff and on-site in our own state-of-the-art laboratory in California. Their 10,600 square foot, high-complexity CLIA licensed lab facility is equipped with the latest high-throughput robotics and Affymetrix, Illumina and Sequenom genotyping equipment. As scientists committed to staying on the cutting-edge, they diligently monitor all new developments in the rapidly evolving DNA research field allowing us to provide you immediate access to more meaningful markers than any other DNA testing firm. - Better Security: Because Pathway Genomics has its own laboratory, your DNA never leaves the building, and is never shared with third parties. At Pathway Genomics the integrity of your genetic material and information are protected. Instead, enjoy the security of our proprietary DNA Lockbox. Everyone has the right to know the secrets hidden within their own DNA. That's why Pathway has created the most secure, comprehensive and affordable way to unlock those secrets. This way you can: - Identify genetic health and drug response - Personalize your medical care - Help your doctor help you - Uncover your ancestral path - Explore the traits that make you unique With Personal DNA Testing, you can take preventative steps to improve your future, and even extend your life. Pathway Genomics provides cutting-edge research and easy-to-read scientific information customized for you, and you alone, based on your genes and your lifestyle. For the first time in human history, modern science has made it possible for you to learn your genetic predisposition for more than 90 diseases and conditions, drug responses and pre-pregnancy carrier status. With this powerful knowledge and our easy-to-understand guidance, you can modify your health regime so that you may live a healthier, longer life. DNA testing will discover more about your personal heritage than you ever thought possible. We uncover your deep ancestry by taking giant leaps into the past, going back more than 10,000 years. We test both your mitochondrial DNA, which is passed down from mother to child and reveals your direct maternal ancestry; and your Y chromosome (males only), which is passed down from father to son and reveals your direct paternal ancestry. If you're like most people, you've always wondered about the genes you have inherited and what traits you will pass on to future generations. Discover your genetically inherited predispositions and characteristics and whether they are beneficial or potentially harmful. You may also find that some traits are simply fun to uncover.

Proper citation: Pathway Genomics (RRID:SCR_002883) Copy   

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http://www.biomarkersconsortium.org/

Consortium serving to develop and qualify promising biomarkers in order to help accelerate the delivery of successful new technologies, medicines and therapies for prevention, early detection, diagnosis and treatment of disease. Current core disease areas of focus include Cancer, Inflammation and Immunity, Metabolic Disorders, and Neuroscience. One of the most difficult tasks facing biomarker assessment and evaluation is harmonizing the approaches of various stakeholders--government, industry, non-profits and foundations, providers, and academic institutions. Consortium founding members and other partners recognize the critical need for a coordinated cross-sector partnership effort. The Biomarkers Consortium brings together the expertise and resources of various partners to rapidly identify, develop, and qualify potential high-impact biomarkers. Biomarkers Consortium Goals: * Facilitate the development and qualification of biomarkers using new and existing technologies; * Help qualify biomarkers for specific applications in diagnosing disease, predicting therapeutic response or improving clinical practice; * Generate information useful to inform regulatory decision making; * Make consortium project results broadly available to the entire scientific community.

Proper citation: Biomarkers Consortium (RRID:SCR_003121) Copy   

•   Source: SciCrunch Registry

http://irc.cchmc.org/software/pedbrain.php

Brain imaging data collected from a large population of normal, healthy children that have been used to construct pediatric brain templates, which can be used within statistical parametric mapping for spatial normalization, tissue segmentation and visualization of imaging study results. The data has been processed and compiled in various ways to accommodate a wide range of possible research approaches. The templates are made available free of charge to all interested parties for research purposes only. When processing imaging data from children, it is important to take into account the fact that the pediatric brain differs significantly from the adult brain. Therefore, optimized processing requires appropriate reference data be used because adult reference data will introduce a systematic bias into the results. We have shown that, in the in the case of spatial normalization, the amount of non-linear deformation is dramatically less when a pediatric template is used (left, see also HBM 2002; 17:48-60). We could also show that tissue composition is substantially different between adults and children, and more so the younger the children are (right, see also MRM 2003; 50:749-757). We thus believe that the use of pediatric reference data might be more appropriate.

Proper citation: CCHMC Pediatric Brain Templates (RRID:SCR_003276) Copy   

•   Source: SciCrunch Registry

http://hugenavigator.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Knowledge base of genetic associations and human genome epidemiology including information on population prevalence of genetic variants, gene-disease associations, gene-gene and gene- environment interactions, and evaluation of genetic tests. This tool explores HuGENet, the Human Genome Epidemiology Network, which is a global collaboration of individuals and organizations committed to the assessment of the impact of human genome variation on population health and how genetic information can be used to improve health and prevent disease. What does HuGE Navigator offer? *HuGEpedia - an encyclopedia of human genetic variation in health and disease, includes, Phenopedia and Genopedia. Phenopedia allows you to look up gene-disease association summaries by disease, and Genopedia allows you to look up gene-disease association summaries by gene. In general, HuGEpedia is a searchable database that summarizes published articles about human disease and genetic variation, including primary studies, reviews, and meta-analyses. It provides links to Pubmed abstracts, researcher contact info, trends, and more. *HuGEtools - searching and mining the literature in human genome epidemiology, includes, HuGE Literature Finder, HuGE Investigator Browser, Gene Prospector, HuGE Watch, Variant Name Mapper, and HuGE Risk Translator. *HuGE Literature Finder finds published articles in human genome epidemiology since 2001. The search query can include genes, disease, outcome, environmental factors, author, etc. Results can be filtered by these categories. It is also possible to see all articles in the database for a particular topic, such as genotype prevalence, pharmacogenomics, or clinical trial. *HuGE Investigator Browser finds investigators in a particular field of human genome epidemiology. This info is obtained using a behind-the-scenes tool that automatically parses PubMed affiliation data. *Gene Prospector is a gateway for evaluating genes in relation to disease and risk factors. This tool allows you to enter a disease or risk factor and then supplies you with a table of genes associated w/your query that are ranked based on strength of evidence from the literature. This evidence is culled from the HuGE Literature Finder and NCBI Entrez Gene - And you're given the scoring formula. The Gene Prospector results table provides access to the Genopedia entry for each gene in the list, general info including links to other resources, SNP info, and associated literature from HuGE, PubMed, GWAS, and more. It is a great place to locate a lot of info about your disease/gene of interest very quickly. *HuGE Watch tracks the evolution of published literature, HuGE investigators, genes studied, or diseases studied in human genome epidemiology. For example, if you search Trend/Pattern for Diseases Studied you'll initially get a graph and chart of the number of diseases studied per year since 1997. You can refine these results by limiting the temporal trend to a category or study type such as Gene-gene Interaction or HuGE Review. *Variant Name Mapper maps common names and rs numbers of genetic variants using information from SNP500Cancer, SNPedia, pharmGKB, ALFRED, AlzGene, PDGene, SZgene, HuGE Navigator, LSDBs, and user submissions. *HuGE Risk Translator calculates the predictive value of genetic markers for disease risk. To do so, users must enter the frequency of risk variant, the population disease risk, and the odds ratio between the gene and disease. This information is necessary in order to yield a useful predictive result. *HuGEmix - a series of HuGE related informatics utilities and projects, includes, GAPscreener, HuGE Track, Open Source. GAPscreener is a screening tool for published literature on human genetic associations; HuGE Track is a custom track built for HuGE data in the UCSC Genome Browser; and Open Source is infrastructure for managing knowledge and information from PubMed.

Proper citation: HuGE Navigator - Human Genome Epidemiology Navigator (RRID:SCR_003172) Copy   

•   Source: SciCrunch Registry

http://www.humanvariomeproject.org/

Project facilitating the establishment and maintenance of standards systems and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The Human Variome Project produces two categories of recommendations: HVP Standards and HVP Guidelines. HVP Standards are those systems, procedures and technologies that the Human Variome Project Consortium has determined should be used by the community. These carry more weight than the less prescriptive HVP Guidelines, which cover those systems, procedures and technologies that the Human Variome Project Consortium has determined would be beneficial for the community to adopt. HVP Standards and Guidelines are central to supporting the work of the Human Variome Project Consortium and cover a wide range of fields and disciplines, from ethics to nomenclature, data transfer protocols to collection protocols from clinics. They can be thought of as both technical manuals and scientific documents, and while the impact of HVP Standards and Guidelines differ, they are both generated in a similar fashion. A document has been generated both as a guide for those collecting and distributing data and for those developing policy. Items should include those generated by HGVS/HVP collaborators as well as those generated by groups of individual Societies and Standards bodies in all relevant fields worldwide.

Proper citation: Human Variome Project (RRID:SCR_003492) Copy   

•   Source: SciCrunch Registry

http://www.humanconnectomeproject.org/

A multi-center project comprising two distinct consortia (Mass. Gen. Hosp. and USC; and Wash. U. and the U. of Minn.) seeking to map white matter fiber pathways in the human brain using leading edge neuroimaging methods, genomics, architectonics, mathematical approaches, informatics, and interactive visualization. The mapping of the complete structural and functional neural connections in vivo within and across individuals provides unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve conclusions about the living human brain. The HCP is being developed to employ advanced neuroimaging methods, and to construct an extensive informatics infrastructure to link these data and connectivity models to detailed phenomic and genomic data, building upon existing multidisciplinary and collaborative efforts currently underway. Working with other HCP partners based at Washington University in St. Louis they will provide rich data, essential imaging protocols, and sophisticated connectivity analysis tools for the neuroscience community. This project is working to achieve the following: 1) develop sophisticated tools to process high-angular diffusion (HARDI) and diffusion spectrum imaging (DSI) from normal individuals to provide the foundation for the detailed mapping of the human connectome; 2) optimize advanced high-field imaging technologies and neurocognitive tests to map the human connectome; 3) collect connectomic, behavioral, and genotype data using optimized methods in a representative sample of normal subjects; 4) design and deploy a robust, web-based informatics infrastructure, 5) develop and disseminate data acquisition and analysis, educational, and training outreach materials.

Proper citation: MGH-USC Human Connectome Project (RRID:SCR_003490) Copy   

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http://brainarray.mbni.med.umich.edu/Brainarray/Database/ProbeMatchDB/ncbi_probmatch_para_step1.asp

Matches a list of microarray probes across different microrarray platforms (GeneChip, EST from different vendors, Operon Oligos) and species (human, mouse and rat), based on NCBI UniGene and HomoloGene. The capability to match protein sequence IDs has just been added to facilitate proteomic studies. The ProbeMatchDB is mainly used for the design of verification experiments or comparing the microarray results from different platforms. It can be used for finding equivalent EST clones in the Research Genetics sequence verified clone set based on results from Affymetirx GeneChips. It will also help to identify probes representing orthologous genes across human, mouse and rat on different microarray platforms.

Proper citation: ProbeMatchDB 2.0 (RRID:SCR_003433) Copy   

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http://www.caneucre.org

Cre expressing mice under the control of promoters with a design focus on the brain. Each promoter is derived from human sequence, but the resulting expression is assessed in the mouse for the activation of a LacZ reporter gene by the Cre activity. Promoters tested as large MaxiPromoters (BACs inserted into the mouse genome) and MiniPromoters (plasmid-based sequences inserted either into the mouse genome or introduced within AAV viruses). The Cre-related project continues from the Pleiades Promoter Project. Here is the list of genes for which icre/ERT2 mice are currently in development: AGTR1, CARTPT, CLDN5, CLVS2, CRH, GABRA6, HTR1A, HTR1B, KCNA4, KDM5C, MKI67, NEUROD6, NKX6-1, NOV, NPY2R, NR2E1, OLIG2, POU4F2, SLITRK6, SOX1, SOX3, SOX9,, SPRY1, VSX2

Proper citation: CanEuCre (RRID:SCR_004159) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/data/experiment/html/dorothea.html

Software R package for storing the regulons. Gene regulatory network containing signed transcription factor (TF) - target gene interactions. DoRothEA regulons, the collection of TF and its transcriptional targets, were curated and collected from different types of evidence for both human and mouse. Confidence level was assigned to each TF-target interaction based on number of supporting evidence.

Proper citation: DoRothEA (RRID:SCR_027126) Copy   

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http://www.neuroguide.com/

A searchable and browsable index of neuroscience resources available on the internet including neurobiology, neurology, neurosurgery, psychiatry, psychology, cognitive science sites and information on human neurological diseases. Two categories exist: Best Bets and Cutaneous Fields of Peripheral Nerves.

Proper citation: Neurosciences on the Internet (RRID:SCR_000478) Copy   

•   Source: SciCrunch Registry

https://www.synapse.org/

Sage Bionetworks, Mount Sinai School of Medicine (MSSM), University of Pennsylvania (Penn), the National Institute of Mental Health (NIMH), and Takeda Pharmaceuticals Company Limited (TAKEDA) have launched a Public-Private Pre-Competitive Consortium, the CommonMind Consortium, to generate and analyze large-scale genomic data from human subjects with neuropsychiatric disease and to make this data and the associated analytical results broadly available to the public. This collaboration brings together disease area expertise, large scale and well curated brain sample collections, and data management and analysis expertise from the respective institutions. As many as 450 million people worldwide are believed to be living with a mental or behavioral disorder: schizophrenia and bipolar disorder are two of the top six leading causes of years lived with disability according to the World Health Organization. The burden on the individual as well as on society is significant with estimates for the health care costs for these individuals as high as four percent GNP. This highlights a grave need for new therapies to alleviate this suffering. Researchers from MSSM including Dr. Pamela Sklar, Dr. Joseph Buxbaum and Dr. Eric Schadt will join with Dr. Raquel Gur and Dr. Chang-Gyu Hahn from Penn to combine their extensive brain bank collections for the generation of whole genome scale RNA and DNA sequence data. Dr.Pamela Sklar, Professor of Psychiatry and Neuroscience at MSSM commented this is an exciting opportunity for us to use the newest genomic methods to really expand our understanding of the molecular underpinnings of neuropsychiatric disease, while Dr Raquel Gur, Professor of Psychiatry from Penn observed this will be a great complement to some of the large-scale genetic analyses that have been carried out to date because it will give a more complete mechanistic picture. The CommonMind Consortium is committed to generating an open resource for the community and invites others with common goals to contact us at info (at) CommonMind.org.

Proper citation: CommonMind Consortium (RRID:SCR_000139) Copy   

•   Source: SciCrunch Registry

http://www.globalhealthlibrary.net/php/index.php

The Global Health Library assembles health data, readable in many languages. The GHL aims to: * point to reliable information collections and systems, in which different users and user groups (ministries of health, policy makers, health workers, information providers, patients and their families, general public) can focus on the knowledge that best meets their health information needs; * act as a facilitator enabling access to information contents produced by numerous key providers - be they commercial companies, government institutions, civil society, not-for-profit organizations, and regional or international bodies; and * strive for universality, with focus on developing countries, and will act as a resource locator for print materials essential to areas that do not have access to electronic content.

Proper citation: World Health Organization: The Global Health Library (RRID:SCR_000391) Copy   

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http://www.simulations-plus.com/Products.aspx?pID=13

Software program for advanced predictive modeling of Absorption, Distribution, Metabolism, Elimination, and Toxicity (ADMET) properties of chemical substances in the human body. ADMET Predictor can estimate a number of vital ADMET properties (listed below) from molecular structures and build predictive models of new properties from user's data.

Proper citation: ADMET Predictor (RRID:SCR_014903) Copy   

•   Source: SciCrunch Registry