Lukas Friedrich
Molecular Biology · 2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 16 citations into it
- Computational Theory and Mathematics — 12 citations into it; #11,787 of 12,182 by trust here, #2,761 by citations
Whom Lukas Friedrich trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Gisbert Schneider (in Computational Theory and Mathematics)
Who trusts Lukas Friedrich
- Gisbert Schneider (in Computational Theory and Mathematics)
Papers from Lukas Friedrich's perspective
Ordered by how strongly the researchers Lukas Friedrich trusts endorse each paper. Same corpus, a different order for every researcher.
- Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
- Long Short-Term Memory
- The ChEMBL database in 2017
- Application of Generative Autoencoder in De Novo Molecular Design
- Opportunities and obstacles for deep learning in biology and medicine
- Deep Recurrent Neural Network for Protein Function Prediction from Sequence
- Automated design of ligands to polypharmacological profiles
- Matching Networks for One Shot Learning
Their papers
- Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators (2018) — 117 citations
- De Novo Design of Bioactive Small Molecules by Artificial Intelligence (2018) — 329 citations