Researchers at Rensselaer Polytechnic Institute (RPI) have come up with computational tools that serve as a virtual screening lab to help chemists weed through millions of possible drug candidates even before they dirty their first test tube.
Chemist Curt Breneman, mathematician Kristin Bennett, and computer scientist Mark Embrechts developed faster and more accurate techniques for describing molecules and combined them with next-generation neural networks and learning methods as part of the Drug Discovery and Semi-Supervised Learning (DDASSL) project.
Funded by a $1.2 million National Science Foundation Knowledge and Distributed Intelligence award, the DDASSL (pronounced "dazzle") project has spawned a number of descendants. Today, 10 research projects on the RPI campus, ranging from the life sciences to materials science to cybersecurity, can trace their origins in part to DDASSL (http://www.drugmining.com/).
Julie A. Smith | NSF
Decoding the regulation of cell survival - A major step towards preventing neurons from dying
04.10.2018 | DFG-Forschungszentrum für Regenerative Therapien TU Dresden
New Cluster of Excellence “Centre for Tactile Internet with Human-in-the-Loop” (CeTI)
28.09.2018 | Technische Universität Dresden
Over the last decade, there has been much excitement about the discovery, recognised by the Nobel Prize in Physics only two years ago, that there are two types...
What if a sensor sensing a thing could be part of the thing itself? Rice University engineers believe they have a two-dimensional solution to do just that.
Rice engineers led by materials scientists Pulickel Ajayan and Jun Lou have developed a method to make atom-flat sensors that seamlessly integrate with devices...
Scientists at the University of Stuttgart and the Karlsruhe Institute of Technology (KIT) succeed in important further development on the way to quantum Computers.
Quantum computers one day should be able to solve certain computing problems much faster than a classical computer. One of the most promising approaches is...
New Project SNAPSTER: Novel luminescent materials by encapsulating phosphorescent metal clusters with organic liquid crystals
Nowadays energy conversion in lighting and optoelectronic devices requires the use of rare earth oxides.
Scientists have discovered the first synthetic material that becomes thicker - at the molecular level - as it is stretched.
Researchers led by Dr Devesh Mistry from the University of Leeds discovered a new non-porous material that has unique and inherent "auxetic" stretching...
10.12.2018 | Event News
06.12.2018 | Event News
03.12.2018 | Event News
11.12.2018 | Physics and Astronomy
11.12.2018 | Materials Sciences
11.12.2018 | Information Technology