Aleksey A. Porollo

Molecular Biology · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 29 citations into it; #2,841 of 17,773 by trust here, #9,367 by citations
• Computational Biology & Bioinformatics — 20 citations into it
• Materials Chemistry — 15 citations into it; #4,869 of 11,513 by trust here, #9,513 by citations
• Computational Theory and Mathematics — 10 citations into it; #3,802 of 12,182 by trust here, #4,199 by citations
• Spectroscopy — 5 citations into it

Whom Aleksey A. Porollo trusts overall

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

1. Burkhard Rost
2. Sarah A. Teichmann
3. W. Kabsch
4. Rafal Adamczak
5. Christopher Sander
6. Shandar Ahmad
7. Yanay Ofran
8. Pinak Chakrabarti
9. James R. Bradford
10. Joël Janin

Who trusts Aleksey A. Porollo overall

1. Yoichi Murakami
2. Bowen Dai
3. Kenji Mizuguchi
4. C. Bailey‐Kellogg
5. Ke Chen
6. Claudio Mirabello
7. D. Ritchie
8. Jaroslaw Meller
9. Rafal Adamczak
10. Wei Zhang

Papers from Aleksey A. Porollo's perspective

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

1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
2. Prediction of protein secondary structure at better than 70% accuracy.
3. Principles of protein-protein interactions (European Conference on Computational Biology)
4. The Pfam protein families database
5. Conservation and prediction of solvent accessibility in protein families
6. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
7. The Protein Data Bank.
8. Analysing six types of protein-protein interfaces. (Journal of Molecular Biology)
9. Dissecting protein–protein recognition sites (Proteins: Structure, Function, and Bioinformatics)
10. ProMate: a structure based prediction program to identify the location of protein-protein binding sites.

Their papers

• Combining prediction of secondary structure and solvent accessibility in proteins (2005) — 326 citations
• Prediction‐based fingerprints of protein–protein interactions (2006) — 418 citations
• Accurate prediction of solvent accessibility using neural networks–based regression (2004) — 298 citations