Jaroslaw Meller

Molecular Biology · 2000–2017

A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 39 citations into it; #2,842 of 17,773 by trust here, #4,731 by citations
• Computational Biology & Bioinformatics — 20 citations into it
• Materials Chemistry — 15 citations into it; #4,870 of 11,513 by trust here, #9,513 by citations
• Computational Theory and Mathematics — 14 citations into it; #3,803 of 12,182 by trust here, #4,199 by citations
• Spectroscopy — 5 citations into it

Whom Jaroslaw Meller trusts overall

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

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

Who trusts Jaroslaw Meller overall

1. Yoichi Murakami
2. Bowen Dai
3. Aleksey A. Porollo
4. Ke Chen
5. Claudio Mirabello
6. Kenji Mizuguchi
7. Rafal Adamczak
8. C. Bailey‐Kellogg

Papers from Jaroslaw Meller's perspective

Ordered by how strongly the researchers Jaroslaw Meller 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. Conservation and prediction of solvent accessibility in protein families
5. The Pfam protein families database
6. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
7. Analysing six types of protein-protein interfaces. (Journal of Molecular Biology)
8. Dissecting protein–protein recognition sites (Proteins: Structure, Function, and Bioinformatics)
9. ProMate: a structure based prediction program to identify the location of protein-protein binding sites.
10. HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins. (Journal of Molecular Biology)

Their papers

• Combining prediction of secondary structure and solvent accessibility in proteins (2005) — 326 citations
• fw2.2: a quantitative trait locus key to the evolution of tomato fruit size. (2000) — 1,393 citations
• Prediction‐based fingerprints of protein–protein interactions (2006) — 418 citations
• Accurate prediction of solvent accessibility using neural networks–based regression (2004) — 298 citations
• The Library of Integrated Network-based Cellular Signatures (LINCS) NIH Program: System-level Cataloging of Human Cells Response to Perturbations (2017) — 380 citations