activity
20162021
most citedTargeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release

20 citations · 62 across the 8 of their papers we have counts for

collaborators

15 papers

q-bio.QM2021

Scaffold-Induced Molecular Graph (SIMG): Effective Graph Sampling Methods for High-Throughput Computational Drug Discovery

Austin Clyde, Ashka Shah, Max Zvyagin +2

Scaffold based drug discovery (SBDD) is a technique for drug discovery which pins chemical scaffolds as the framework of design. Scaffolds, or molecular frameworks, organize the de…

q-bio.BM20212 cited

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening

Austin Clyde, Thomas Brettin, Alexander Partin +8

We propose a benchmark to study surrogate model accuracy for protein-ligand docking. We share a dataset consisting of 200 million 3D complex structures and 2D structure scores acro…

cs.LG2021

Neko: a Library for Exploring Neuromorphic Learning Rules

Zixuan Zhao, Nathan Wycoff, Neil Getty +2

The field of neuromorphic computing is in a period of active exploration. While many tools have been developed to simulate neuronal dynamics or convert deep networks to spiking mod…

q-bio.QM2021

A cross-study analysis of drug response prediction in cancer cell lines

Fangfang Xia, Jonathan Allen, Prasanna Balaprakash +21

To enable personalized cancer treatment, machine learning models have been developed to predict drug response as a function of tumor and drug features. However, most algorithm deve…

cs.LG20212 cited

Scaffold Embeddings: Learning the Structure Spanned by Chemical Fragments, Scaffolds and Compounds

Austin Clyde, Arvind Ramanathan, Rick Stevens

Molecules have seemed like a natural fit to deep learning's tendency to handle a complex structure through representation learning, given enough data. However, this often continuou…

cs.DC2021

Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers

Agastya P. Bhati, Shunzhou Wan, Dario Alfè +26

The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottle…