Peter Ertl

Computational Theory and Mathematics · 2000–2017

A researcher in the Science corpus: 9 papers; trusts 5 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Ertl trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Esben Jannik Bjerrum
  2. Wolf-Dietrich Ihlenfeldt
  3. David Weininger
  4. Lars Ruddigkeit
  5. Eric J. Martin
  6. Xiufeng Yang
  7. Ansgar Schuffenhauer
  8. Anvita Gupta
  9. Rafael Gómez‐Bombarelli
  10. Anna Gaulton

Who trusts Peter Ertl overall

  1. Axel Drefahl
  2. Shitong Luo
  3. Esben Jannik Bjerrum
  4. Ryan-Rhys Griffiths
  5. A. Harvey
  6. Josep Arús‐Pous
  7. Nicola De Cao
  8. Iurii Sushko
  9. Kristina Preuer
  10. José Miguel Hernández-Lobato

Papers from Peter Ertl's perspective

Ordered by how strongly the researchers Peter Ertl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions
  3. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
  4. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  5. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
  6. Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.
  7. PubChem: Integrated Platform of Small Molecules and Biological Activities
  8. ChEMBL: a large-scale bioactivity database for drug discovery
  9. SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers