Markus G. Rudolph

Annual Review of Immunology · 2006–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Markus G. Rudolph trusts overall

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

  1. Michael L. Waskom

Who trusts Markus G. Rudolph overall

  1. Brian G. Pierce
  2. Zhiping Weng

Papers from Markus G. Rudolph's perspective

Ordered by how strongly the researchers Markus G. Rudolph 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. Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
  5. SciPy 1.0: fundamental algorithms for scientific computing in Python
  6. Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database
  7. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
  8. BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
  9. The Cambridge Structural Database
  10. Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Their papers