Daniele Raimondi
Molecular Biology · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 76 citations into it; #7,125 of 17,773 by trust here, #8,182 by citations
- Computational Biology & Bioinformatics — 30 citations into it; #350 of 660 by trust here, #484 by citations
- Materials Chemistry — 22 citations into it; #4,338 of 11,513 by trust here, #7,644 by citations
- Artificial Intelligence — 8 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Daniele Raimondi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Remmert
- David C. Jones
- Yang Zhang
- John L. Klepeis
- Atanas Kamburov
- Pietro Di Lena
- Piero Fariselli
- Sean R. Eddy
- Gianluca Pollastri
- Lukas Burger
Who trusts Daniele Raimondi overall
- Mirco Michel
- David Ménendez Hurtado
- H. Szurmant
- Mu Gao
- Susann Vorberg
- Marcin J. Skwark
- Arne Elofsson
Papers from Daniele Raimondi's perspective
Ordered by how strongly the researchers Daniele Raimondi trusts endorse each paper. Same corpus, a different order for every researcher.
- The Pfam protein families database
- Identification of direct residue contacts in protein–protein interaction by message passing
- Learning Deep Architectures for AI
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Hidden Markov model speed heuristic and iterative HMM search procedure
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- Scoring function for automated assessment of protein structure template quality
- ImageNet classification with deep convolutional neural networks
Their papers
- Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns (2014) — 163 citations
- DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins (2017) — 176 citations
- Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations