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Drug-target interaction, molecular screening, ADMET, compound databases, pharmaceutical data
627 datasets
World Health Organization data on the number of pharmaceutical personnel. The dataset likely contains counts of professionals such as pharmacists and pharmacy technicians, aggregated by country or region. It is published via the WHO Global Health Observatory platform.
Global data assesses the inclusion of basic dementia competencies within pharmaceutical personnel training curricula. The dataset originates from the World Health Organization's Global Health Observatory. Specifics on the number of countries, training programs, or update frequency are not provided.
WHO Global Health Observatory provides data on the availability of routine pharmaceutical records for monitoring people with dementia. The dataset focuses on pharmaceutical record systems relevant to dementia care. It originates from the World Health Organization.
World Health Organization data enumerates investigational pharmaceutical trials for dementia. The dataset provides a count of trials, likely tracking development activity over time. It originates from the WHO Global Health Observatory platform.
World Health Organization data tracks the global availability of investigational pharmaceutical trials for dementia. The dataset covers trials related to drug development for dementia conditions. It originates from the WHO's Global Health Observatory platform.
Real-world ADMET data collected during drug discovery campaigns by Expansion Therapeutics targeting RNA-mediated diseases, finalized in January 2026. The dataset was used in the OpenADMET-ExpansionRx blind challenge and is now released in full. It contains measurements likely related to the absorption, distribution, metabolism, excretion, and toxicity of candidate molecules.
A glossary created by H. Van De Waterbeemd of Roche to define terminology in the rapidly growing field of computational drug design. It aims to help medicinal chemists without formal training in the field grasp concepts and utilize findings. The dataset's specific size, format, and update frequency are not detailed.
Kaggle hosts a dataset titled 'Pharmaceutical Drugs'. The specific content, scope, and origin are not detailed in the available metadata. The dataset likely contains information related to drug properties, classifications, or market data, but the exact nature requires verification after download.
traffic500 is a dataset hosted on Kaggle. The title suggests it likely contains information related to vehicle traffic, such as counts, speeds, or congestion metrics. The dataset's specific content, scale, and origin are not detailed in the available metadata.
Synthetic data provides a controlled environment for modeling pharmaceutical relationships without real patient risk. This dataset maps drugs to their correct therapeutic classes and includes interaction information. It was sourced from Kaggle, but details on its creation, size, and update history are not provided.
A clean, structured pharmaceutical dataset from Kaggle, described as ready for machine learning and analytics. The author, organization, and specific data volume are unknown. The last update date is also unknown.
100 global pharmaceutical companies form the basis of this financial dataset. The description indicates it includes daily trading data such as Open and Close prices and Volume. The original source, author, and specific time period are not provided.
NIDA Research Monograph 50, authored by John Grabowski, is a document focused on cocaine pharmacology, effects, and abuse treatment. The dataset is sourced from the paperswithcode platform. Its specific content, length, and structure require verification after download.
A structural biology dataset detailing the atomic coordinates of the neutralizing antibody JC57-14 bound to the Middle-East Respiratory Syndrome coronavirus Receptor Binding Domain. The data was published on paperswithcode by author Michael Joyce. The specific data format, size, and row count are unknown.
Developmental Neurotoxicity Study is a dataset authored by John H. Duffus and published on the paperswithcode platform. The dataset likely contains data related to the study of neurotoxic effects on developing organisms. Its specific contents, size, and update schedule are not detailed in the available metadata.
A mini-review authored by NelsΓ³n DurΓ‘n, sourced from paperswithcode. The content likely discusses the formation of protein coronas on silver nanoparticles and their associated toxicological effects. The dataset is a closed license document.
A research paper titled 'Methamphetamine and Methylenedioxymethamphetamine Neurotoxicity: Possible Mechanisms of Cell Destruction' by Lewis S. Seiden. The paper is hosted on the paperswithcode platform, which aggregates academic resources for machine learning. The specific content, data, and supplementary materials require verification after download.
Pharmaceutical spending data published by the Organisation for Economic Co-operation and Development (OECD). The dataset likely contains metrics related to drug expenditure, potentially across different countries or time periods. It is sourced from the paperswithcode platform, but the specific temporal and geographic coverage is unknown.
Guidelines For Neurotoxicity Risk Assessment sets forth principles and procedures for evaluating environmental contaminants. The guidelines are intended to inform EPA scientists, agency decision makers, and the public about neurotoxic risk assessment procedures. The dataset appears to be a document or collection of documents from the paperswithcode platform.
ViDoRe V3 Pharmaceuticals is a corpus of slides from the FDA, intended for long-document understanding tasks. It is one of 10 corpora comprising the ViDoRe v3 benchmark for RAG evaluation on visually-rich documents. The dataset was authored by 'vidore' and last updated on 2026-01-15.