Peter W. Hildebrand

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter W. Hildebrand trusts overall

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

  1. Mohammed Alquraishi
  2. Lim Heo
  3. Milot Mirdita
  4. Sergey Ovchinnikov
  5. Hannah K. Wayment-Steele

Papers from Peter W. Hildebrand's perspective

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

  1. Highly accurate protein structure prediction with AlphaFold
  2. Highly accurate protein structure prediction for the human proteome
  3. ColabFold: making protein folding accessible to all
  4. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
  5. RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology,…
  6. Impact of GPCR Structures on Drug Discovery.
  7. GPCRdb in 2021: integrating GPCR sequence, structure and function
  8. Machine learning in protein structure prediction.
  9. Multi-State Modeling of G-protein Coupled Receptors at Experimental Accuracy
  10. Prediction of multiple conformational states by combining sequence clustering with AlphaFold2

Their papers