ACD/Spectrus Processor
Advanced Chemistry Development, Inc., (ACD/Labs)Process and interpret all your analytical data in one common interface
Process and interpret all your analytical data in one common interface
Enterprise decision support software for pharmaceutical and chemical development. The only software that consolidates your process and analytical data in one place.
Comprehensive molecular structure drawing and naming. Draw chemical structures and communicate scientific ideas.
Analyze and assemble all your 1D and 2D NMR data
Mass Spectrometry Software for Spectral Interpretation and Component Characterization
Metabolite Identification Software That Makes Decisions Easier
Characterization and Identification of Compounds Using LC/UV/MS and GC/MS Data
Fast and Accurate Prediction of NMR Spectra, Chemical Shifts, and Coupling Constants
Method development software for the chromatography expert. ACD/AutoChrom helps experts develop chromatographic separations using QbD principles. It uses a workflow-based structure to streamline and track a project.
Rules-Based Fragment Prediction for Mass Spectrometry
Software to Streamline High Throughput Experiments from Design to Decide
Calculate Abraham Solvation Parameters from structure
Store & Share Live Analytical Data from Any Technique and Data Format
Predict Genotoxic & Carcinogenic Endpoints to Meet ICH M7 Guidelines
ACD/Method Selection Suite is your software assistant for LC and GC method development. When you want to develop methods using Quality by Design (QbD) principles, and make every experiment count, reach for Method Selection Suite.
Characterize Samples and Identify Unknown Components
Calculate drug toxicity and safety endpoints
Calculate physicochemical properties from structure
Elucidate complex structures from experimental data with the help of expert algorithms
Get systematic chemical names for structures and produce structures from names - ACD/Name generates chemical names according to IUPAC rules, converts chemical names to structures, and easily handles challenging areas of nomenclature.
Predict pharmacokinetic properties from structure