Gábor Erdös
Molecular Biology · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 126 citations into it; #9,577 of 17,773 by trust here, #10,347 by citations
- Materials Chemistry — 40 citations into it; #9,506 of 11,513 by trust here, #9,147 by citations
- Spectroscopy — 19 citations into it; #1,354 of 1,674 by trust here, #1,109 by citations
- Cell Biology — 18 citations into it
- Computational Biology & Bioinformatics — 14 citations into it; #560 of 660 by trust here, #570 by citations
Whom Gábor Erdös trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zsuzsanna Dosztányi
- Bálint Mészáros
- István Simon
- Nawar Malhis
- Vladimir N Uversky
- Marco Necci
- Zhenling Peng
- Peter Tompa
- Kazutaka Katoh
- Veronika Csizmok
Who trusts Gábor Erdös overall
Papers from Gábor Erdös's perspective
Ordered by how strongly the researchers Gábor Erdös trusts endorse each paper. Same corpus, a different order for every researcher.
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- Structure and Function of Intrinsically Disordered Proteins
- A large-scale evaluation of computational protein function prediction
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- The importance of intrinsic disorder for protein phosphorylation. (Nucleic Acids Research)
- Characterization of molecular recognition features, MoRFs, and their binding partners.
- Predicting intrinsic disorder in proteins: an overview
- Computational identification of MoRFs in protein sequences
- DisProt: the Database of Disordered Proteins (Nucleic Acids Res.)
Their papers
- IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding (2018) — 1,323 citations
- Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations
- IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation (2021) — 508 citations
- Analyzing Protein Disorder with IUPred2A (2020) — 307 citations
- Novel linear motif filtering protocol reveals the role of the LC8 dynein light chain in the Hippo pathway (2017) — 25 citations