Peter K. Koo

Molecular Biology · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter K. Koo trusts overall

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

  1. Hetunandan Kamisetty

Papers from Peter K. Koo's perspective

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

  1. Identification of direct residue contacts in protein–protein interaction by message passing
  2. Correlated mutations and residue contacts in proteins
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
  5. Evolutionarily conserved pathways of energetic connectivity in protein families.
  6. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
  7. Learning generative models for protein fold families
  8. Generative Models for Graph-Based Protein Design
  9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.

Their papers