activity
20172026
most citedUncertainty Quantification in Classical Molecular Dynamics

119 citations · 135 across the 6 of their papers we have counts for

collaborators

7 papers

physics.chem-ph2026

On the Reliability of AI Methods in Drug Discovery: Evaluation of Boltz-2 for Structure and Binding Affinity Prediction

Shunzhou Wan, Xibei Zhang, Xiao Xue +1

Despite continuing hype about the role of AI in drug discovery, no "AI-discovered drugs" have so far received regulatory approval. Here we assess one of the latest AI based tools i…

quant-ph2025★ 4 cited

Extending Quantum Computing through Subspace, Embedding and Classical Molecular Dynamics Techniques

Thomas M. Bickley, Angus Mingare, Tim Weaving +10

The advent of hybrid computing platforms consisting of quantum processing units integrated with conventional high-performance computing brings new opportunities for algorithm desig…

cs.DC2021★ 3 cited

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…

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…

physics.comp-ph2020★ 119 cited

Uncertainty Quantification in Classical Molecular Dynamics

Shunzhou Wan, Robert C. Sinclair, Peter V. Coveney

Molecular dynamics simulation is now a widespread approach for understanding complex systems on the atomistic scale. It finds applications from physics and chemistry to engineering…

cs.DC2017

High-throughput Binding Affinity Calculations at Extreme Scales

Jumana Dakka, Matteo Turilli, David W Wright +5

Resistance to chemotherapy and molecularly targeted therapies is a major factor in limiting the effectiveness of cancer treatment. In many cases, resistance can be linked to geneti…