John Lamb

Molecular Biology · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Lamb trusts overall

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

  1. Yang Zhang
  2. Björn Wallner
  3. Jeffrey Skolnick
  4. Andriy Kryshtafovych
  5. Jianyi Yang
  6. Arne Elofsson
  7. A. Brunger
  8. Ivan V. Anishchenko
  9. Torsten Schwede
  10. Sankar Basu

Papers from John Lamb's perspective

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

  1. TM-align: a protein structure alignment algorithm based on the TM-score
  2. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
  3. Crystallography & NMR system: A new software suite for macromolecular structure determination.
  4. Scoring function for automated assessment of protein structure template quality
  5. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
  6. MM-align: a quick algorithm for aligning multiple-chain protein complex structures using iterative dynamic programming
  7. DockQ: A Quality Measure for Protein-Protein Docking Models
  8. Intrinsically Disordered Proteins in Cellular Signaling and Regulation
  9. Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
  10. Structure and Function of Intrinsically Disordered Proteins

Their papers