The DDASSL software can quickly screen large databases, accurately predicting the molecules that show potential for future medicines.
Program speeds drug discovery
Researchers at Rensselaer Polytechnic Institute today announced the release of a software program capable of quickly identifying molecules that show promise for future medicines. The software program enables drug makers to comb through enormous databases of potential molecules and identify the ones that have sound medicinal properties.
Rensselaer researchers with skills in computer science, chemistry, and math allied to create the software program. Chemistry Professor Curt Breneman, Mathematics Associate Professor Kristin Bennett, and Decision Sciences and Engineering Systems Associate Professor Mark Embrechts collaborated in the Drug Discovery and Semi-Supervised Learning project (DDASSL, pronounced “dazzle”), supported by a $1.2 million Knowledge and Distributed Intelligence Award from the National Science Foundation.
Robert Pini | Rensselaer News
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