Yoichi Murakami

Molecular Biology · 2010

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 11 citations into it
• Computational Biology & Bioinformatics — 5 citations into it

Whom Yoichi Murakami trusts overall

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

1. Emanuel Parzen
2. Aleksey A. Porollo
3. Yanay Ofran
4. Stephen F. Altschul
5. Burkhard Rost
6. Jaroslaw Meller
7. Huan‐Xiang Zhou
8. Yanjun Qi
9. Webb Miller

Papers from Yoichi Murakami's perspective

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

1. ProMate: a structure based prediction program to identify the location of protein-protein binding sites.
2. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
3. Basic local alignment search tool.
4. ISIS: interaction sites identified from sequence
5. Prediction of protein interaction sites from sequence profile and residue neighbor list (Proteins: Structure, Function, and Bioinformatics)
6. Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
7. On Estimation of a Probability Density Function and Mode
8. Evaluation of different biological data and computational classification methods for use in protein interaction prediction (Proteins: Structure, Function, and Bioinformatics)
9. Prediction‐based fingerprints of protein–protein interactions (Proteins: Structure, Function, and Bioinformatics)
10. Prediction of protein secondary structure at better than 70% accuracy.

Their papers

• Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein-protein interaction sites (2010) — 297 citations