Joanna I. Sulkowska
Molecular Biology · 2007–2021
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 41 citations into it
- Computational Biology & Bioinformatics — 19 citations into it
- Materials Chemistry — 19 citations into it
- Spectroscopy — 6 citations into it
Whom Joanna I. Sulkowska trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cecilia Clementi
- Adam T. Zemla
- Yuzhen Ye
- Yang Zhang
- S. W. Lockless
- Piotr Rotkiewicz
- Jeffrey Skolnick
- Adam Godzik
- José N. Onuchic
- Martin Weigt
Who trusts Joanna I. Sulkowska overall
- Faruck Morcos
- Ryan R. Cheng
- Debora Marks
- Sergey Ovchinnikov
- Jianzhu Ma
- Roshan Rao
- Thomas A. Hopf
- Anne-Florence Bitbol
- Sanjay Kumar
- Sheng Wang
Papers from Joanna I. Sulkowska's perspective
Ordered by how strongly the researchers Joanna I. Sulkowska trusts endorse each paper. Same corpus, a different order for every researcher.
- Identification of direct residue contacts in protein–protein interaction by message passing
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- LGA: a method for finding 3D similarities in protein structures
- TOUCHSTONE II: a new approach to ab initio protein structure prediction.
- Protein homology detection by HMM?CHMM comparison
- Fast procedure for reconstruction of full-atom protein models from reduced representations
- Highly accurate protein structure prediction with AlphaFold
- Comparison of simple potential functions for simulating liquid water
- FATCAT: a web server for flexible structure comparison and structure similarity searching
Their papers
- Genomics-aided structure prediction (2012) — 222 citations
- Mechanical stretching of proteins—a theoretical survey of the Protein Data Bank (2007) — 132 citations
- PDBe-KB: collaboratively defining the biological context of structural data (2021) — 68 citations