Huiying Zhao

Molecular Biology · 2011–2022

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 55 citations into it; #5,462 of 17,773 by trust here, #8,182 by citations
• Computational Biology & Bioinformatics — 29 citations into it
• Materials Chemistry — 26 citations into it; #3,245 of 11,513 by trust here, #7,310 by citations
• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 14 citations into it; #5,158 of 12,182 by trust here, #2,629 by citations

Whom Huiying Zhao trusts overall

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

1. Yang Zhang
2. Temple F. Smith
3. Hongyi Zhou

Who trusts Huiying Zhao overall

1. Sergey Ovchinnikov
2. Liam J. McGuffin
3. Taeho C. Jo
4. Robin Pearce
5. Ke Chen

Papers from Huiying Zhao's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Highly accurate protein structure prediction with AlphaFold
4. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
5. TM-align: a protein structure alignment algorithm based on the TM-score
6. Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
7. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
8. Identification of common molecular subsequences.
9. BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions
10. LGA: a method for finding 3D similarities in protein structures

Their papers

• Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates (2011) — 321 citations
• AlphaFold2-aware protein-DNA binding site prediction using graph transformer (2022) — 109 citations
• To Improve Protein Sequence Profile Prediction through Image Captioning on Pairwise Residue Distance Map (2019) — 61 citations