Patrick Bryant
Molecular Biology · 2021
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 115 citations into it; #9,422 of 17,773 by trust here, #8,381 by citations
- Materials Chemistry — 48 citations into it; #5,749 of 11,513 by trust here, #7,227 by citations
- Computational Biology & Bioinformatics — 47 citations into it; #405 of 660 by trust here, #573 by citations
- Spectroscopy — 18 citations into it
Whom Patrick Bryant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan V. Anishchenko
- Petras J. Kundrotas
- T. Kościółek
- Ilya A. Vakser
- Qian Cong
- Weizhong Li
- Martin Steinegger
- Kathryn A. Porter
- Inbal Halperin
- Somaye Hashemifar
Who trusts Patrick Bryant overall
Papers from Patrick Bryant's perspective
Ordered by how strongly the researchers Patrick Bryant trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparative protein modelling by satisfaction of spatial restraints.
- Improved protein structure prediction using potentials from deep learning
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
- Identification of direct residue contacts in protein–protein interaction by message passing
- End-to-end differentiable learning of protein structure
- Protein complex prediction with AlphaFold-Multimer
- TM-align: a protein structure alignment algorithm based on the TM-score
- Computed structures of core eukaryotic protein complexes
- What Method to Use for Protein-Protein Docking?
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
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