If you are considering Epocrates, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Epocrates include features. The best overall Epocrates alternative is Signals ChemDraw. Other similar apps like Epocrates are MicroTracker, Schrodinger, DrugPatentWatch, and Thermo Scientific Nautilus LIMS. Epocrates alternatives can be found in Drug Discovery Software but may also be in Electronic Lab Notebook (ELN) Software.
The Gold Standard for Chemical Drawing and Research publications
MicroTracker allows you to track your brands performance against key competitors on primary market indicators with the ability to capture mentions for brands in your products treatment category.
Data sharing and collaborative drug design across the entire discovery team in real time.
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.
Open Drug Discovery Toolkit (ODDT) is modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc. ODDT is written in Python, and make extensive use of Numpy/Scipy
CDD Vault is a complete platform for drug discovery informatics, hosted through an intuitive web interface. It helps your project team manage, analyze, and present chemical structures and biological assay data.
AutoDock is a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure.
Chemia is a cost effective, compliant and turnkey Electronic Lab Notebook, used in API, Formulation and Analytical Labs, during the Drug Discovery and Development process.
Discovery Studio is BIOVIA's comprehensive predictive science application for the Life Sciences. BIOVIA Discovery Studio 2019 stands as BIOVIA's major release for predictive sciences and modeling and simulation in the life sciences