Ada Sedova
Orcid: 0000-0002-8233-3057
According to our database1,
Ada Sedova
authored at least 18 papers
between 2018 and 2023.
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Bibliography
2023
Predicted structural proteome of <i>Sphagnum divinum</i> and proteome-scale annotation.
Bioinform., August, 2023
tinyIFD: A High-Throughput Binding Pose Refinement Workflow Through Induced-Fit Ligand Docking.
J. Chem. Inf. Model., June, 2023
Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023
2022
OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances.
Bioinform., 2022
Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms?
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
Int. J. High Perform. Comput. Appl., 2021
Comput. Sci. Eng., 2021
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction.
CoRR, 2021
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021
Addressing Load Imbalance in Bioinformatics and Biomedical Applications: Efficient Scheduling across Multiple GPUs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.
J. Chem. Inf. Model., 2020
Performance Portability of Molecular Docking Miniapp On Leadership Computing Platforms.
Proceedings of the IEEE/ACM International Workshop on Performance, 2020
GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Proceedings of the High Performance Computing, 2019
Highly Interactive, Steered Scientific Workflows on HPC Systems: Optimizing Design Solutions.
Proceedings of the High Performance Computing, 2019
2018
Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation.
Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018