J. H. Zhang

Molecular Biology · 2009–2021

A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 171 citations into it; #3,492 of 17,773 by trust here, #7,657 by citations
• Computational Theory and Mathematics — 59 citations into it; #11,405 of 12,182 by trust here, #6,463 by citations
• Materials Chemistry — 52 citations into it; #10,175 of 11,513 by trust here, #10,245 by citations
• Computational Chemistry & Drug Discovery — 28 citations into it

Whom J. H. Zhang trusts overall

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

1. Andreas Mayr
2. Hongyi Zhou
3. Thomas Unterthiner

Who trusts J. H. Zhang overall

1. Zhangyang Gao
2. Chloe Hsu
3. Cheng Tan
4. Namrata Anand
5. Xingjie Pan
6. Raquel Dias

Papers from J. H. Zhang's perspective

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

1. Protein data bank
2. De Novo Computational Design of Retro-Aldol Enzymes
3. Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
4. Energy functions in de novo protein design: current challenges and future prospects.
5. DeepTox: Toxicity Prediction using Deep Learning
6. Twilight zone of protein sequence alignments.
7. Kemp elimination catalysts by computational enzyme design
8. ImageNet classification with deep convolutional neural networks
9. Protein design with a comprehensive statistical energy function and boosted by experimental selection for foldability
10. Potential energy functions for protein design.

Their papers

• DenseCPD: Improving the Accuracy of Neural-Network-Based Computational Protein Sequence Design with DenseNet (2020) — 85 citations
• Computational Protein Design with Deep Learning Neural Networks (2018) — 179 citations
• DeepBSP - a Machine Learning Method for Accurate Prediction of Protein-Ligand Docking Structures (2021) — 61 citations
• Analysis of internal short-circuit in a lithium ion cell (2009) — 321 citations
• End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design. (2019) — 1,862 citations
• Interaction Entropy: A New Paradigm for Highly Efficient and Reliable Computation of Protein-Ligand Binding Free Energy. (2016) — 391 citations