Daisuke Kihara

Molecular Biology · 2002–2021

A researcher in the Science corpus: 11 papers; trusts 41 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 209 citations into it; #1,966 of 17,773 by trust here, #3,425 by citations
• Materials Chemistry — 92 citations into it; #1,132 of 11,513 by trust here, #5,094 by citations
• Computational Biology & Bioinformatics — 68 citations into it
• Computational Theory and Mathematics — 47 citations into it
• Computational Chemistry & Drug Discovery — 13 citations into it

Whom Daisuke Kihara trusts overall

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

1. Burkhard Rost
2. David C. Jones
3. W. Kabsch
4. James A. Cuff
5. Dmitrij Frishman
6. Kevin J. Karplus
7. Kuang Lin
8. Stephen F. Altschul
9. Minoru Kanehisa
10. Christopher Sander

Who trusts Daisuke Kihara overall

1. Yang Zhang
2. William R. Taylor
3. Erik S. Wright
4. Sitao Wu
5. Akosua Busia
6. Chengxin Zhang
7. Ambrish Roy
8. Yuedong Yang
9. Chunxiang Peng
10. Yan Wang

Papers from Daisuke Kihara's perspective

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

1. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
2. The Protein Data Bank.
3. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
4. TM-align: a protein structure alignment algorithm based on the TM-score
5. Hidden Markov models for detecting remote protein homologies
6. Prediction of protein secondary structure at better than 70% accuracy.
7. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
8. Visualizing Data using t-SNE
9. Review: protein secondary structure prediction continues to rise. (Journal of Structural Biology)
10. Identification of common molecular subsequences.

Their papers

• Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
• A large-scale evaluation of computational protein function prediction (2013) — 1,002 citations
• Local energy landscape flattening: Parallel hyperbolic Monte Carlo sampling of protein folding (2002) — 153 citations
• The effect of long‐range interactions on the secondary structure formation of proteins (2005) — 113 citations
• Modeling the assembly order of multimeric heteroprotein complexes (2018) — 29 citations
• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
• Improved performance in CAPRI round 37 using LZerD docking and template-based modeling with combined scoring functions (2017) — 19 citations
• The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
• Protein Docking Model Evaluation by Graph Neural Networks (2020) — 94 citations
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations