Iain H. Moal

Molecular Biology · 2013–2019

A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Iain H. Moal trusts overall

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

  1. Joël Janin
  2. Rong Chen
  3. Zhiping Weng
  4. Brian G. Pierce
  5. Hang Li
  6. Juan Fernández-Recio
  7. D. Ritchie
  8. Tammy M. K. Cheng
  9. Mieczyslaw Torchala
  10. Jun Xu

Who trusts Iain H. Moal overall

  1. Sankar Basu
  2. Justina Jankauskaite
  3. Jeffrey R. Brender
  4. Marc F. Lensink
  5. Björn Wallner
  6. Octavian-Eugen Ganea
  7. Brian Jiménez-García
  8. Juan Fernández-Recio
  9. Yang Zhang
  10. Mieczyslaw Torchala

Papers from Iain H. Moal's perspective

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

  1. A protein–protein docking benchmark (Proteins: Structure, Function, and Bioinformatics)
  2. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
  3. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
  4. HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.
  5. TM-align: a protein structure alignment algorithm based on the TM-score
  6. ImageNet classification with deep convolutional neural networks
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin

Their papers