Søren Brunak

Molecular Biology · 1999–2022

A researcher in the Science corpus: 43 papers; trusts 36 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 507 citations into it; #719 of 17,773 by trust here, #108 by citations
• Genetics — 171 citations into it
• Computational Biology & Bioinformatics — 64 citations into it; #288 of 660 by trust here, #416 by citations
• Artificial Intelligence — 58 citations into it; #19,851 of 35,345 by trust here, #8,810 by citations
• Spectroscopy — 47 citations into it
• Cell Biology — 20 citations into it
• Plant Science — 16 citations into it
• Statistics and Probability — 15 citations into it

Whom Søren Brunak trusts overall

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

1. Amos Bairoch
2. David C. Jones
3. Christopher Sander
4. Anders Krogh
5. Rolf Apweiler
6. Burkhard Rost
7. Uwe Hobohm
8. W. Kabsch
9. Jannick Dyrløv Bendtsen
10. Alan R. Aronson

Who trusts Søren Brunak overall

1. Kuo-Chen Chou
2. Henrik Nielsen
3. Hongbin Shen
4. Gianluca Pollastri
5. Emidio Capriotti
6. Søren Kaae Sønderby
7. Thomas G. Dietterich
8. Sudipto Saha
9. Timothy Nugent
10. Chin-Sheng Yu

Papers from Søren Brunak's perspective

Ordered by how strongly the researchers Søren Brunak 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. Identification of common molecular subsequences.
3. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
4. Prediction of protein secondary structure at better than 70% accuracy.
5. PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization.
6. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
7. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (Journal of Molecular Biology)
8. Improved prediction of signal peptides: SignalP 3.0. (Journal of Molecular Biology)
9. The PROSITE database, its status in 2002 (Nucleic Acids Res.)
10. The Protein Data Bank: a computer-based archival file for macromolecular structures.

Their papers

• A human gut microbial gene catalog established by metagenomic sequencing (2010) — 11,043 citations
• Assessing the accuracy of prediction algorithms for classification: an overview (2000) — 2,199 citations
• Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. (2020) — 262 citations
• Enterotypes of the human gut microbiome (2011) — 4,302 citations
• Improved prediction of signal peptides: SignalP 3.0. (2004) — 6,656 citations
• Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (2000) — 4,387 citations
• A human phenome-interactome network of protein complexes implicated in genetic disorders (2007) — 953 citations
• Richness of human gut microbiome correlates with metabolic markers (2013) — 4,282 citations
• Locating proteins in the cell using TargetP, SignalP and related tools (2007) — 1,142 citations
• SignalP 5.0 improves signal peptide predictions using deep neural networks (2019) — 3,628 citations
• Feature-based prediction of non-classical and leaderless protein secretion. (2004) — 1,142 citations
• Prediction of human protein function from post-translational modifications and localization features. (2002) — 332 citations
• SignalP 4.0: discriminating signal peptides from transmembrane regions (2011) — 8,860 citations
• An integrated catalog of reference genes in the human gut microbiome (2014) — 1,947 citations
• Prediction, conservation analysis, and structural characterization of mammalian mucin-type O-glycosylation sites. (2005) — 916 citations
• A new non-linear normalization method for reducing variability in DNA microarray experiments (2002) — 580 citations
• Linear Motif Atlas for Phosphorylation-Dependent Signaling (2008) — 465 citations
• Prediction of proteasome cleavage motifs by neural networks. (2002) — 320 citations
• Non-classical protein secretion in bacteria (2005) — 694 citations
• An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions (2005) — 324 citations