With its ability to enhance predictive accuracy, quantum computing may significantly lower R&D costs in pharmaceuticals by reducing candidate failures.
Structure-based approaches for drug design and virtual screening give new meaning to Louis Pasteur’s saying “Chance favors the prepared mind.” In silico methods are becoming more efficient in allowing ...
Optibrium, a leading developer of software and AI solutions for drug discovery, today announced the acquisition of BioPharmics LLC, expanding its 3D drug design and modelling offering. Bringing ...
A team of Vanderbilt researchers has created a new series of drug candidates against a hard-to-target receptor involved in the formation of blood clots. The research, spearheaded by the labs of Jens ...
University of Arkansas chemist receives $1.5 million NIH award to improve computer-aided drug design
A new $1.5 million award from the National Institutes of Health will allow a University of Arkansas chemist to develop mathematical models to improve the reliability and efficiency of computer-aided ...
How are we improving the way the field of drug discovery creates machine learning algorithms to predict a protein’s interactions with a small molecule? The drug development pipeline is a costly and ...
In what Lawrence Livermore National Lab said is “a substantial milestone for supercomputing-aided drug design,” LLNL and BridgeBio Oncology Therapeutics today announced clinical trials have begun for ...
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