Gabriele Pozzati
Molecular Biology · 2021
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 149 citations into it; #9,376 of 17,773 by trust here, #7,980 by citations
- Computational Biology & Bioinformatics — 69 citations into it; #406 of 660 by trust here, #573 by citations
- Materials Chemistry — 60 citations into it; #5,750 of 11,513 by trust here, #7,227 by citations
- Computational Theory and Mathematics — 25 citations into it
- Spectroscopy — 21 citations into it
Whom Gabriele Pozzati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Zhang
- Sean R. Eddy
- Ivan V. Anishchenko
- Tunca Dogan
- Sergey Ovchinnikov
- Marc F. Lensink
- Qian Cong
- Petras J. Kundrotas
- Ilya A. Vakser
- Srayanta Mukherjee
Who trusts Gabriele Pozzati overall
Papers from Gabriele Pozzati's perspective
Ordered by how strongly the researchers Gabriele Pozzati trusts endorse each paper. Same corpus, a different order for every researcher.
- TM-align: a protein structure alignment algorithm based on the TM-score
- 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
- Comparative protein modelling by satisfaction of spatial restraints.
- Improved protein structure prediction using potentials from deep learning
- The Protein Data Bank.
- Protein complex prediction with AlphaFold-Multimer
- Structure-based prediction of protein-protein interactions on a genome-wide scale
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
Their papers
- Improved prediction of protein-protein interactions using AlphaFold2 (2021) — 933 citations
- Towards a structurally resolved human protein interaction network (2021) — 210 citations
- A structural biology community assessment of AlphaFold2 applications (2021) — 578 citations
- Limits and potential of combined folding and docking (2021) — 18 citations