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Drug-target interaction, molecular screening, ADMET, compound databases, pharmaceutical data
627 datasets
Network pharmacology and computational dissection reveals how Solanum trilobatum bioactives modulate steroid receptor-associated signaling in breast cancer. This dataset, shared under a CC-BY-4.0 license, contains molecular docking and simulation results likely detailing compound-target interactions. Its cross-platform presence on figshare signals its importance for computational pharmacology research.
Network pharmacology and computational dissection of Solanum trilobatum bioactives reveals modulation of steroid receptor associated signalling in breast cancer. This 276 KB Excel file likely contains molecular docking and simulation results, such as binding scores or compound-protein interactions, supporting the study's computational analysis. Its presence on multiple platforms suggests it is a core supplementary file for the associated research.
Data supporting a publication on the relationship between free Gd3+ concentration and its accumulation and toxicity in the green alga Chlamydomonas reinhardtii. The dataset was authored by Claude Fortin and last updated on April 25, 2026. It is hosted on the Borealis Harvested Dataverse platform.
James Garbarino of Loyola University Chicago authored a series of essays exploring the psychological and social challenges faced by children globally. The work likely contains textual analysis and discussion on topics including trauma, poverty, child abuse, and the impact of war. The dataset's specific size, format, and temporal coverage are not detailed in the provided metadata.
Comparative ADMET predictions for the compound DdpMPyPEPhU were generated using the QikProp software. The dataset, shared by Shaban Ahmad, contains computational findings suggesting the compound's potential as a multitarget therapeutic candidate. Specific row and column counts are unavailable.
A 5.5 KB Excel file contains pharmacokinetic profiles for ten selected polyphenols, focusing on their ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties. The dataset, created by Farid Ataya, supports computational drug discovery research for these natural compounds.
Necent's AI Security Dataset contains 691,331 examples for safety research, combining 15 source datasets across 26 languages. It was uploaded to Hugging Face on March 23, 2026.
Necent's AI Security Dataset provides 691,331 examples for AI safety research. The collection unifies 15 source datasets covering 26 languages and various attack types. It was last updated in March 2026.
A Data Management and Sharing Plan authored by Yanguang Cao for the AIM-PATH research project. The plan describes scientific data to be generated and/or used in research on antibody pharmacokinetics and toxicity modeling. It was last updated on 2026-04 27 and outlines a strategy for managing and sharing project data.
Survey results detail sediment toxicity in San Francisco Bay using multiple bioassay techniques. Data collection occurred over a focused three-month period from January to March 1990. The survey was conducted by Advanced Technology, Inc. and Toxscan, Inc./Kinnetic Laboratories, Inc. for a NOAA Quick Reaction Task Order.
Surface water toxicity data from the California Environmental Data Exchange Network (CEDEN), the state's system for water quality. It includes results from laboratory, physical, and biological analyses such as chemical, toxicological, bio-assessment, invertebrate, and fish assays. The dataset contains provisional data quality indicators to aid interpretation.
Giving access to ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles for selected DHPS (dihydrofolate synthase) virtual screening hits and their analogues. The data is stored in a 5.5 KB Excel file. It was created by Tahira Noor to support drug discovery research.
Social media text data likely contains examples of toxic language in Indonesian. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown. Columns and sample data are unavailable for review.
1,000 agents were simulated in a Monte Carlo model to study social toxicity and stochastic tipping points. The dataset likely contains results from this agent-based simulation of online behavior. It was sourced from Kaggle, but specific authorship, update date, and detailed documentation are not provided.
A summary of mouse food consumption data collected for an acute oral toxicity study of the Vip3Cb1 protein. The dataset is a 5.5 KB Excel file authored by Lucas J. McKinnon and last updated on 2026-03-18. It is licensed under CC-BY-4.0 and hosted on figshare.
Vip3Cb1 protein acute oral toxicity study data summarizes mouse body weight changes. Lucas J. McKinnon published the 5.5 KB Excel file on figshare under a CC-BY-4.0 license. The dataset was last updated on March 18, 2026.
Lucas J. McKinnon published a summary of mouse body weights from an acute oral toxicity study for the Vip3Cb1 protein on figshare in March 2026. The 5.5 KB dataset is stored in an Excel file and licensed for reuse under CC-BY-4.0. The data likely contains measurements related to assessing the safety of insecticidal proteins.
Replication files for tables and figures in the academic paper 'The Role of Information in Pharmaceutical Advertising - Theory and Evidence' and its appendix. The data was authored by Ryan, Conor and hosted by the Review of Economics and Statistics Dataverse. It was last updated on April 22, 2026.
162 sediment samples were collected from five estuaries in coastal South Carolina and Georgia. The National Oceanic and Atmospheric Administration's National Centers for Environmental Information (NOAA NCEI) gathered this data through a survey performed in 1993 and 1994. Samples were tested for toxicity using multiple laboratory bioassays and analyzed for trace metals and organic compounds.
A dataset titled 'toxicitydataset' is hosted on Kaggle. Its specific size, origin, and creation date are unknown. The content likely relates to classifying or annotating text for toxic language.