Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO
- David R. Bell
- Giacomo Domeniconi
- et al.
- 2021
- JCTC
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403 results for Generative AI
Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action
- Jaimit Parikh
- Timothy Rumbell
- et al.
- 2021
- Journal of Pharmacokinetics and Pharmacodynamics
CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method
- Leili Zhang
- Giacomo Domeniconi
- et al.
- 2021
- BMC Bioinformatics
PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2021
- iScience
Data-driven molecular design for discovery and synthesis of novel ligands: A case study on SARS-CoV-2
- Jannis Born
- Matteo Manica
- et al.
- 2021
- Machine Learning: Science and Tech.
Learning Graph Topological Features via GAN
- Weiyi Liu
- Pin-Yu Chen
- et al.
- 2019
- IEEE Access
Mapping Generative Models onto a Network of Digital Spiking Neurons
- Bruno U. Pedroni
- Srinjoy Das
- et al.
- 2016
- IEEE TBioCAS
Beyond neuropsychological tests: AI speech analysis in PKU
- Susan Waisbren
- Kely Norel
- et al.
- 2024
- J. Inherit. Metab. Dis.
Foundation Models for the Electric Power Grid
- Hendrik Hamann
- Blazhe Gjorgiev
- et al.
- 2024
- Joule
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
- Saeel Sandeep Nachane
- Ojas Gramopadhye
- et al.
- 2024
- EMNLP 2024