Intelligent Pharma not only offers several chemoinformatics and bioinformatics services to its costumers, but we also actively developing important research in new computational technologies and their application to the customers' biomedical requirements. In the following we highlight some technologies and applications that Intelligent Pharma scientists and engineers carry out research activity on.
Applications
Computer-aided drug design: Computer-aided drug design technologies are both useful to lead generation and lead optimization. The engineers of Intelligent Pharma have successfully developed these concepts in combination with docking, virtual screening, and artificial intelligence.
Virtual screening: Virtual screening (VS) has multiple applications in all the biomedical research stages. One of the areas where Intelligent Pharma's team has research experience is in VS when applied to ADME/Tox. The use of VS techniques to detect non-desired ADME/Tox properties, especially in initial stages, may greatly reduce the costs and risks of research projects. To achieve those goals we not only use Quantitative Structure-Activity Relationship (QSAR) techniques, but also other advanced technologies involving artificial intelligence.
Compound library management: When you are the proprietor of your own diverse and non-redundant compound libraries you can make projects more inexpensive and quicker, especially in the initial stages. To make this a reality, Intelligent Pharma offers its customers our expertise in chemical database management and molecular diversity technologies.
Molecular modeling: As part of automated computational drug design, Intelligent Pharma scientists also have experience in other ways of computer-aided drug design, such as molecular dynamics or docking.
Multimedia data processing: New multimedia data processing and algorithms are especially needed in those research stages where high-throughput screening (HTS) is involved. One of the technologies in which Intelligent Pharma's engineers have gained experience is in the design of artificial vision mechanisms to automatically analyze cellular biology samples.