Michael Reutlinger

2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Michael Reutlinger trusts

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

  1. Michael L. Waskom (in Information Systems)

Papers from Michael Reutlinger's perspective

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

  1. Matplotlib: A 2D Graphics Environment
  2. Scikit-learn: Machine Learning in Python
  3. Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking
  4. SciPy 1.0: fundamental algorithms for scientific computing in Python
  5. Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
  6. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
  7. BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
  8. Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database
  9. Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
  10. The Cambridge Structural Database

Their papers