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.
American Gene Technologies (AGT) practices the art and science of genetic medicine. AGTrobust programs of discovery and drug development also include efforts on research and development of genetic medicines for treating Parkinsondisease and familial dysautonomia a rare, inherited orphan disease that is characterized by early onset blindness and other neurological problems. As priority programs move toward clinical testing, and as AGT continues to grow, these and other areas of investigation wil
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.