Hamed Khakzad

Molecular Biology · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hamed Khakzad trusts overall

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

  1. Yang Zhang
  2. Diederik P. Kingma

Papers from Hamed Khakzad's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Highly accurate protein structure prediction with AlphaFold
  3. Improved protein structure prediction using predicted interresidue orientations
  4. The Rosetta all-atom energy function for macromolecular modeling and design
  5. De novo protein design by deep network hallucination
  6. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
  7. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction
  8. De novo design of a non-local β-sheet protein with high stability and accuracy
  9. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  10. Protein data bank

Their papers