Rajesh Nair
Molecular Biology · 2000–2009
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 50 citations into it; #1,822 of 17,773 by trust here, #7,657 by citations
- Computational Biology & Bioinformatics — 28 citations into it
Whom Rajesh Nair trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Christopher Sander
- Amos Bairoch
- Kenta Nakai
- Rolf Apweiler
- Kuo-Chen Chou
- Sujun Hua
- W. Kabsch
- Uwe Hobohm
- Paul Horton
Who trusts Rajesh Nair overall
- Burkhard Rost
- Sebastian Briesemeister
- Michael Heinzinger
- Yana Bromberg
- Torsten Blum
- Tatyana Goldberg
- Andrea Pierleoni
- Ahmed Elnaggar
- Oliver Kohlbacher
- Guy Yachdav
Papers from Rajesh Nair's perspective
Ordered by how strongly the researchers Rajesh Nair trusts endorse each paper. Same corpus, a different order for every researcher.
- The SWISS-PROT protein sequence data bank and its supplement TrEMBL
- Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (Journal of Molecular Biology)
- MODBASE: a database of annotated comparative protein structure models and associated resources
- Prediction of protein secondary structure at better than 70% accuracy.
- PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization.
- Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)
- Selection of representative protein data sets
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
- Improved prediction of signal peptides: SignalP 3.0. (Journal of Molecular Biology)
- The Sorcerer II Global Ocean Sampling Expedition: Expanding the Universe of Protein Families
Their papers
- Structural genomics is the largest contributor of novel structural leverage (2009) — 74 citations
- Better prediction of sub‐cellular localization by combining evolutionary and structural information (2003) — 89 citations
- Mimicking cellular sorting improves prediction of subcellular localization. (2005) — 306 citations
- Finding nuclear localization signals (2000) — 730 citations