Cancer claims millions of lives yearly worldwide. While many therapies h...
The process of screening molecules for desirable properties is a key ste...
We propose a benchmark to study surrogate model accuracy for protein-lig...
We developed Distilled Graph Attention Policy Networks (DGAPNs), a
curio...
Molecules have seemed like a natural fit to deep learning's tendency to
...
Motivated by the size of cell line drug sensitivity data, researchers ha...
COVID-19 has claimed more 1 million lives and resulted in over 40 millio...
The drug discovery process currently employed in the pharmaceutical indu...
We present a new method for understanding the performance of a model in
...
Researchers across the globe are seeking to rapidly repurpose existing d...
By combining various cancer cell line (CCL) drug screening panels, the s...