Agnes Toth-Petroczy
Molecular Biology · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 50 citations into it
- Computational Biology & Bioinformatics — 25 citations into it
- Materials Chemistry — 10 citations into it
Whom Agnes Toth-Petroczy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Tompa
- The Uniprot Consortium
- Peter E. Wright
- Fernando Pérez
- Steve L. Johnson
- Tuomas P. J. Knowles
- Debora Marks
- Magnus Ekeberg
- Faruck Morcos
- H. J. Dyson
Who trusts Agnes Toth-Petroczy overall
Papers from Agnes Toth-Petroczy's perspective
Ordered by how strongly the researchers Agnes Toth-Petroczy trusts endorse each paper. Same corpus, a different order for every researcher.
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- Cell-Free Formation of RNA Granules: Low Complexity Sequence Domains Form Dynamic Fibers Within Hydrogels (Cell)
- Intrinsically unstructured proteins. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Hidden Markov model speed heuristic and iterative HMM search procedure
- The amyloid state and its association with protein misfolding diseases (Nature reviews. Molecular cell biology)
- UniProt: a hub for protein information
- D2P2: database of disordered protein predictions (Nucleic Acids Res.)
- IPython: A System for Interactive Scientific Computing
- Version 1.2 of the Crystallography and NMR system
Their papers
- Structured states of disordered proteins from genomic sequences (2016) — 132 citations
- The EVcouplings Python framework for coevolutionary sequence analysis (2018) — 276 citations