Tianyun Liu

Molecular Biology · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 25 citations into it; #8,453 of 17,773 by trust here, #15,203 by citations
• Computational Theory and Mathematics — 18 citations into it; #5,180 of 12,182 by trust here, #7,851 by citations
• Materials Chemistry — 7 citations into it
• Computational Chemistry & Drug Discovery — 5 citations into it

Whom Tianyun Liu trusts overall

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

1. Markus A. Lill
2. Angel R. Ortiz
3. Martin Weisel
4. John A. Capra
5. Matthew L. Danielson
6. Charles E.M. Strauss
7. Ewgenij Proschak
8. Andriy Kryshtafovych
9. Roman A. Laskowski
10. Osvaldo Olmea

Who trusts Tianyun Liu overall

1. Wen Torng
2. Russ B. Altman
3. Michael Kuhn
4. John Moult
5. Ivica Letunic
6. Lars Juhl Jensen

Papers from Tianyun Liu's perspective

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

1. PocketPicker: analysis of ligand binding-sites with shape descriptors (Chemistry Central Journal)
2. Target Highlights in CASP9: Experimental Target Structures for the Critical Assessment of Techniques for Protein Structure Prediction
3. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
4. A quantitative analysis of kinase inhibitor selectivity (Nature Biotechnology)
5. MAMMOTH (Matching molecular models obtained from theory): An automated method for model comparison (Protein Science)
6. Biological function derived from predicted structures in CASP11
7. Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure
8. Challenging the state-of-the-art in protein structure prediction: Highlights of experimental target structures for the 10th Critical Assessment of Techniques for Protein Structure Prediction…
9. Computer-aided drug design platform using PyMOL
10. Implications of protein flexibility for drug discovery

Their papers

• Biological and Functional Relevance of CASP Predictions (2017) — 7 citations
• Relating Essential Proteins To Drug Side-Effects Using Canonical Component Analysis: A Structure-Based Approach (2015) — 40 citations
• Using Multiple Microenvironments to Find Similar Ligand-Binding Sites: Application to Kinase Inhibitor Binding (2011) — 63 citations