Ye Hong

Molecular Biology · with Alabert · 2023

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

• Molecular Biology — 36 citations into it
• Materials Chemistry — 9 citations into it

Whom Ye Hong trusts

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

1. T. Croll (in Molecular Biology)

Papers from Ye Hong's perspective

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

1. Highly accurate protein structure prediction with AlphaFold
2. ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps
3. UCSF Chimera—A visualization system for exploratory research and analysis
4. ColabFold: making protein folding accessible to all
5. UCSF ChimeraX: Structure visualization for researchers, educators, and developers
6. Protein complex prediction with AlphaFold-Multimer
7. Announcing the worldwide Protein Data Bank
8. Real-space refinement in PHENIX for cryo-EM and crystallography
9. The Protein Data Bank
10. Comparative protein modelling by satisfaction of spatial restraints.

Their papers

• DNSN-1 recruits GINS for CMG helicase assembly during DNA replication initiation in C. elegans (2023) — 24 citations