Jie Liang

Molecular Biology · Nucleic Acids Res. · 2003–2018

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Liang trusts overall

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

  1. S. Miyazawa
  2. C. Burges
  3. Vladimir Naumovich Vapni
  4. Christopher K. I. Williams
  5. Eugene I. Shakhnovich
  6. K. Simons
  7. Bernhard Schölkopf
  8. Ram Samudrala
  9. Hui Lu
  10. Robert L. Jernigan

Who trusts Jie Liang overall

  1. Bingding Huang
  2. D. Lloyd Evans
  3. F. Richards

Papers from Jie Liang's perspective

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

  1. A new approach to protein fold recognition
  2. The Nature of Statistical Learning Theory
  3. Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation
  4. Energy functions that discriminate X-ray and near native folds from well-constructed decoys.
  5. Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading.
  6. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  7. Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
  8. Statistical potentials extracted from protein structures: how accurate are they?
  9. The Protein Data Bank.
  10. An all-atom distance-dependent conditional probability discriminatory function for protein structure prediction.

Their papers