Chemaxon blog
Filter by content type
Chemical Descriptors & Standardizers for Machine Learning Models - Cheminfo Stories APAC 2020
Artificial Intelligence and Deep Learning in drug discovery projects, configuration options -...
Intellectual property (IP) intelligence solutions designed for the way researchers think
With pressure on medicinal chemists to reduce the cost, time and risks of development, the need for...
Research data management on the cloud
The Synergy platform is ChemAxon’s approach to SaaS solutions for chemistry related R&D data...
Prediction driven design of hERG liability free compounds - webcast
The new ChemAxon ADMET plugin group builds on the power of machine learning methods on curated data...
Computational tools for drug discovery
Discovery of a novel drug is an optimizing challenge against an array of chemical and biological...
Automation of building reliable models
Volume and velocity of bioactivity data available in public or in-house sources represent an...
Search substructures in Enamine REAL with JChem Microservices
The new JChem Microservices uses the latest generation search technology that can handle large...
Digitalizing research data: explore your hidden knowledge base from legacy MS Office (& pdf) documents
The Client Working alongside big pharma, biotech’s, public research institutions and investment...
Navigating Massive Virtual (and Real) Libraries
DNA-encoded libraries (DELs) and reaction based virtual libraries challenge current cheminformatics...
JChem Microservices
JChem Microservices provide microservices in small separate modules for different areas of ChemAxon...
The new way of writing Chemistry patents, Japanese drafting
Creating a patent that covers all of the desired compounds, without any overlap with prior-art, can...
Impurity Identification Using LC-MS and in silico Reaction Enumeration
With ChemAxon's Reaction Enumeration Tool, molecular mass values of created (enumerated) products...