Min-Yi Shen

Molecular Biology · 2005–2008

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 201 citations into it; #593 of 17,773 by trust here, #2,498 by citations
• Materials Chemistry — 127 citations into it; #320 of 11,513 by trust here, #2,582 by citations
• Computational Biology & Bioinformatics — 60 citations into it
• Spectroscopy — 13 citations into it; #58 of 1,674 by trust here, #380 by citations
• Computational Theory and Mathematics — 12 citations into it
• Genetics — 10 citations into it
• Computational Chemistry & Drug Discovery — 5 citations into it

Whom Min-Yi Shen trusts overall

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

1. Andrej Sali
2. Manfred J. Sippl
3. András Fiser
4. Bino John
5. David C. Jones
6. Francisco Melo
7. Liam J. McGuffin
8. Marc A. Martí-Renom
9. Kira M. S. Misura
10. K. Simons

Who trusts Min-Yi Shen overall

1. Ben M. Webb
2. Andrej Sali
3. Jianlin Cheng
4. Jinbo Xu
5. Narayanan Eswar
6. Feng Zhao
7. Dmitry Rykunov
8. David Eramian
9. Roberto Mosca
10. Renzhi Cao

Papers from Min-Yi Shen's perspective

Ordered by how strongly the researchers Min-Yi Shen trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Protein Data Bank.
2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
3. Hidden Markov models for detecting remote protein homologies
4. The Pfam protein families database
5. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
6. Protein Structure Prediction and Structural Genomics
7. A method to identify protein sequences that fold into a known three-dimensional structure.
8. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
9. MODBASE: a database of annotated comparative protein structure models and associated resources
10. Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods.

Their papers

• MODBASE: a database of annotated comparative protein structure models and associated resources (2005) — 705 citations
• Statistical potential for assessment and prediction of protein structures (2006) — 2,342 citations
• How well can the accuracy of comparative protein structure models be predicted? (2008) — 155 citations
• Comparative Protein Structure Modeling Using MODELLER (2007) — 2,158 citations
• Comparative Protein Structure Modeling Using Modeller (2006) — 2,348 citations