L. Jovine
Molecular Biology · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 40 citations into it
- Materials Chemistry — 30 citations into it
- Computational Biology & Bioinformatics — 22 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom L. Jovine trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adam T. Zemla
- Milot Mirdita
- Martin Steinegger
- Mohammed Alquraishi
- Johannes Söding
- Kathryn Tunyasuvunakool
Papers from L. Jovine's perspective
Ordered by how strongly the researchers L. Jovine trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly accurate protein structure prediction for the human proteome
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
- Using Dali for Protein Structure Comparison.
- MMseqs2 desktop and local web server app for fast, interactive sequence searches
- Improved prediction of protein-protein interactions using AlphaFold2
- ColabFold: making protein folding accessible to all
- A structural biology community assessment of AlphaFold2 applications
- LGA: a method for finding 3D similarities in protein structures
- Towards automated crystallographic structure refinement with phenix.refine
- Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard
Their papers
- Complementing machine learning‐based structure predictions with native mass spectrometry (2022) — 17 citations
- Structure of the decoy module of human glycoprotein 2 and uromodulin and its interaction with bacterial adhesin FimH (2022) — 24 citations
- Using machine learning to study protein–protein interactions: From the uromodulin polymer to egg zona pellucida filaments (2021) — 7 citations