Carla P. Perez

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carla P. Perez trusts overall

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

  1. Po-Ssu Huang
  2. Kevin Cowtan

Papers from Carla P. Perez's perspective

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

  1. The Rosetta all-atom energy function for macromolecular modeling and design
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction
  4. Native protein sequences are close to optimal for their structures.
  5. Alternate states of proteins revealed by detailed energy landscape mapping
  6. Kemp elimination catalysts by computational enzyme design
  7. RosettaHoles: Rapid assessment of protein core packing for structure prediction, refinement, design, and validation
  8. Protein data bank
  9. Automatic differentiation in PyTorch
  10. Generalized Fragment Picking in Rosetta: Design, Protocols and Applications

Their papers