Haobo Wang

Computational Biology & Bioinformatics · with Dauparas · 2019

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

Subfields

Whom Haobo Wang trusts overall

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

  1. Hetunandan Kamisetty
  2. Florian Markowetz
  3. S. Dunn
  4. Sergey Ovchinnikov
  5. David T. Jones

Papers from Haobo Wang's perspective

Ordered by how strongly the researchers Haobo Wang 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. Learning generative models for protein fold families
  3. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
  4. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
  5. Correlated mutations in models of protein sequences: phylogenetic and structural effects
  6. Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.
  7. Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era
  8. Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners
  9. Statistical Analysis of Non-Lattice Data
  10. Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction

Their papers