Jeffrey M. Blaney
Computational Theory and Mathematics · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 35 citations into it
Whom Jeffrey M. Blaney trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Gisbert Schneider (in Computational Theory and Mathematics)
Papers from Jeffrey M. Blaney's perspective
Ordered by how strongly the researchers Jeffrey M. Blaney trusts endorse each paper. Same corpus, a different order for every researcher.
- Automating drug discovery (Nature reviews. Drug discovery)
- Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
- Reconfigurable system for automated optimization of diverse chemical reactions (Science)
- Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
- Organic synthesis provides opportunities to transform drug discovery (Nature Chemistry)
- Adversarial Examples: Attacks and Defenses for Deep Learning
- Nonlinear multiobjective optimization
- Multi-parameter optimization: identifying high quality compounds with a balance of properties.
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- Opportunities and obstacles for deep learning in biology and medicine
Their papers
- Rethinking drug design in the artificial intelligence era (2019) — 681 citations