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RESEARCH PAPER · arXiv (Cornell University) · 2020

Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening Models

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8 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening ModelsOriginalScalable HPC and AI Infrastructure for COVID-19 Therapeutics6Protein-Ligand Docking Surrogate Models: SARS-CoV-2 Benchmark for Deep LearningAccelerated Virtual Screening1Report on an NIH Workshop on Ultralarge Chemistry Databases23Report on an NIH Workshop on Ultralarge Chemistry Databases9Scalable HPC & AI infrastructure for COVID-19 therapeutics24IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads11Scaffold-Induced Molecular Graph (SIMG): Effective Graph Sampling Methods for High-Throughput Computational Drug Discovery0RAPTOR: Ravenous Throughput Computing5

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  1. Scalable HPC and AI Infrastructure for COVID-19 Therapeutics

    arXiv (Cornell University) · 2020-10-20

    Hyungro Lee, André Merzky, Tan, Li, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya P. Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick L. Stevens, Anda Trifan, Hubertus J. J. van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha

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  2. Protein-Ligand Docking Surrogate Models: SARS-CoV-2 Benchmark for Deep LearningAccelerated Virtual Screening

    Figshare · 2021-01-01

    Austin Clyde, Thomas Scott Brettin, Yoo, Hyunseung, Partin, Alex, Yadu Babuji, André Merzky, Matteo Turilli, Jhah, Shantenu, Arvind Ramanathan, Rick L. Stevens

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  3. Report on an NIH Workshop on Ultralarge Chemistry Databases

    ChemRxiv · 2021-05-10

    Wendy A. Warr

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  4. Report on an NIH Workshop on Ultralarge Chemistry Databases

    ChemRxiv · 2021-05-10

    Wendy A. Warr

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  5. Scalable HPC & AI infrastructure for COVID-19 therapeutics

    Platform for Advanced Scientific Computing Conference (PASC) · 2021-07-05

    Hyungro Lee, André Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya P. Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick L. Stevens, Anda Trifan, Hubertus J. J. van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha

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

    Proceedings of the International Conference on Parallel Processing · 2021-08-09

    Aymen Al-Saadi, Dario Alfè, Yadu Babuji, Agastya P. Bhati, Ben J. Blaiszik, Alexander Brace, Thomas Scott Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter August Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald B. Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick L. Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

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

    arXiv (Cornell University) · 2021-09-10

    Austin Clyde, Ashka Shah, Max Zvyagin, Arvind Ramanathan, Rick L. Stevens

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  8. RAPTOR: Ravenous Throughput Computing

    IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) · 2022-05-01

    André Merzky, Matteo Turilli, Shantenu Jha

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