What is he best known for?
The fields of study he is best known for:
Patrick Aloy mainly focuses on Computational biology, Protein–protein interaction, Protein structure, Genetics and Systems biology.
His Computational biology research is multidisciplinary, incorporating perspectives in Protein tertiary structure, Bioinformatics, Protein function prediction, Protein folding and Proteins metabolism.
In his work, Macromolecular Complexes is strongly intertwined with Biophysics, which is a subfield of Protein–protein interaction.
His Protein structure research is multidisciplinary, incorporating elements of Structural biology, Plasma protein binding, Saccharomyces cerevisiae and Sequence alignment.
The concepts of his Systems biology study are interwoven with issues in Biological network, Pharmacology and Data science.
His research investigates the connection with Proteome and areas like Proteomics which intersect with concerns in Flagellum, Escherichia coli, Biological data, Functional genomics and Cell biology.
His most cited work include:
- Proteome survey reveals modularity of the yeast cell machinery (2239 citations)
- A proteome-scale map of the human interactome network (887 citations)
- Relation between amino acid composition and cellular location of proteins (370 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Aloy mainly investigates Computational biology, Genetics, Protein–protein interaction, Bioinformatics and Protein structure.
His Systems biology study, which is part of a larger body of work in Computational biology, is frequently linked to Identification, bridging the gap between disciplines.
He focuses mostly in the field of Genetics, narrowing it down to topics relating to Biological network and, in certain cases, Drug repositioning.
His Protein–protein interaction research incorporates themes from Short linear motif, Conserved sequence, Peptide and Complex network.
His Protein structure study incorporates themes from Structural biology, Plasma protein binding, Docking and Peptide sequence.
His work deals with themes such as Proteomics and Cell biology, which intersect with Proteome.
He most often published in these fields:
- Computational biology (56.40%)
- Genetics (30.23%)
- Protein–protein interaction (28.49%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (56.40%)
- Interactome (15.12%)
- Function (5.23%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computational biology, Interactome, Function, Phenotype and Gene.
Patrick Aloy interconnects Pharmacogenomics, Genome, Small molecule, Protein–protein interaction and Drug in the investigation of issues within Computational biology.
In Protein–protein interaction, he works on issues like Cell type, which are connected to Disease.
His Interactome research is multidisciplinary, relying on both Interaction network, Proteome, Interferon and Reference map.
His Phenotype research is within the category of Genetics.
His work focuses on many connections between Biological network and other disciplines, such as Gene regulatory network, that overlap with his field of interest in Systems biology.
Between 2018 and 2021, his most popular works were:
- A reference map of the human binary protein interactome. (122 citations)
- A reference map of the human protein interactome (24 citations)
- Extending the small-molecule similarity principle to all levels of biology with the Chemical Checker. (17 citations)
In his most recent research, the most cited papers focused on:
Patrick Aloy mostly deals with Computational biology, Interactome, Reference map, Drug discovery and Proteome.
His Computational biology study combines topics from a wide range of disciplines, such as Drug action and Gene regulatory network.
His studies in Interactome integrate themes in fields like Pharmacogenomics, Genome, Systems biology, Function and Drug repositioning.
His Reference map study combines topics in areas such as Phenotype, Cellular organization and Protein–protein interaction.
His Drug discovery research incorporates elements of Identification, World Wide Web and Big data.
His Proteome research includes elements of Interaction network, Interferon, Innate immune system and Biotinylation.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
