activity
20202025
most citedBioNeMo Framework: a modular, high-performance library for AI model development in drug discovery

11 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

physics.chem-ph2025★ 2 cited

Foundation Models for Discovery and Exploration in Chemical Space

Alexius Wadell, Anoushka Bhutani, Victor Azumah +26

Accurate prediction of atomistic, thermodynamic, and kinetic properties from molecular structures underpins materials innovation. Existing computational and experimental approaches…

cs.LG2024★ 11 cited

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery

Peter St. John, Dejun Lin, Polina Binder +89

Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increas…

cs.AI2023★ 8 cited

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang +89

In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scient…

cs.DC2023

Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers

Alexander Brace, Rafael Vescovi, Ryan Chard +4

The Dynamic PicoProbe at Argonne National Laboratory is undergoing upgrades that will enable it to produce up to 100s of GB of data per day. While this data is highly important for…

cs.DC2021

Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations

Alexander Brace, Igor Yakushin, Heng Ma +7

Machine learning (ML)-based steering can improve the performance of ensemble-based simulations by allowing for online selection of more scientifically meaningful computations. We p…

cs.DC2020★ 6 cited

Scalable HPC and AI Infrastructure for COVID-19 Therapeutics

Hyungro Lee, Andre Merzky, Li Tan +15

COVID-19 has claimed more 1 million lives and resulted in over 40 million infections. There is an urgent need to identify drugs that can inhibit SARS-CoV-2. In response, the DOE re…

cs.DC2020★ 3 cited

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads

Aymen Al Saadi, Dario Alfe, Yadu Babuji +33

The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive…