Drug discovery software is used to develop new pharmaceutical drugs and test whether a newly created drug will be effective in treating a particular disease. Drug discovery software automates and leverages innovative technology that significantly cuts down on the arduous process of drug development, testing, and going to market.
Most drug discovery solutions offer screening, predictive analytics, modeling, simulation, and computational capabilities. Those functionalities help with tasks such as image analysis and clinical trial results submission, as well as ensuring accurate reproducibility. Researchers and scientists use drug discovery software to gain market intelligence, take advantage of advancements in drug design and synthesis, tackle evolving and adapting diseases, and maintain and manage the integrity of data as drugs transition from the discovery phase to the clinical trial phase.
To qualify for inclusion in the Drug Discovery category, a product must:
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Nautilus LIMS for Dynamic Discovery and R&D Environments is a highly flexible, easily configurable system that increases workflow efficiency, throughput and data reliability while simplifying administration, sample traceability and regulatory compliance.
Leveraging digital technologies such as automation, artificial intelligence, Internet of Things, analytics and cloud, in combination with a fundamental redesign of the scientific user experience, Accenture Scientific Informatics Services helps organizations better capture, manage, integrate and analyze complex scientific data.
BioSymetrics' Augusta is a first of its kind software framework and coding language for Biomedical AI/Machine Learning applications that include drug discovery, precision medicine and value based care. Augusta contains over 300 code blocks and an iterative AI core to normalize any biomedical data type including chemistry(compounds), imagery (fMRI etc.) , genetics, EMR systems and more.
Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand's binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies.
CCG is a leading developer and provider of Molecular Modeling, Simulations and Machine Learning software to Pharmaceutical and Biotechnology companies as well as Academic institutions throughout the world. CCG continuously develops new technologies with its team of mathematicians, scientists and software engineers and through scientific collaborations with customers.
Clinical Trial Outcomes Databases form a quantitative framework to leverage valuable external data, providing key development insights to maximize the probability of success for a new drug. Clinical Trial Outcomes Databases, accessed through our online interactive CODEx interface, provide comprehensive and up-to-date data on major therapeutic areas.
Automates time consuming and repetitive tasks during image analysis set-up. Increases reproducibility and detects complex phenotypes by eliminating the biased selection of handcrafted features. Saves time by quickly being re-applied in different experimental settings. Seamlessly integrates with Genedata Screener for image data analysis.
From handling simple to complex GLP and non-GLP compliant laboratory environments, Xybion's enterprise solution for pre-clinical data management solution, Pristima® enables a significant reduction in time to final report and study close-out through full lifecycle automation. The Pristima® suite offers numerous modules, which allow you to select a targeted combination of functions to meet your specific organizational requirements and workflows.
PyRx is a Virtual Screening software for Computational Drug Discovery that can be used to screen libraries of compounds against potential drug targets. PyRx enables Medicinal Chemists to run Virtual Screening from any platform and helps users in every step of this process - from data preparation to job submission and analysis of the results.
SEND Savante, is a comprehensive solution for data aggregation, query, analysis, and reporting of pre-clinical drug discovery and drug development data. Integrated with the industry-standard Pristima pre-clinical software suite, it allows organizations to build a consolidated data warehouse containing study data coalesced from multiple sources, based on CDISC-SEND standards.
StarDrop helps you to deliver optimally balanced, successful compounds, fast. StarDrop enables a seamless flow from the latest data through predictive modelling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process.
twoXAR is an artificial intelligence-driven drug discovery company. The company leverages its computational platform to identify promising drug candidates, de-risks the opportunities through preclinical studies, and progresses drug candidates to the clinic through industry and investor partnerships.