What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Transmembrane protein, Cell biology, Biophysics, Protein structure and Aerolysin.
His Transmembrane protein research entails a greater understanding of Biochemistry.
His Cell biology research is multidisciplinary, relying on both Palmitoylation and Pore-forming toxin.
His Biophysics research incorporates themes from Yersinia enterocolitica, Type three secretion system, Microbiology, Inner membrane and Shigella flexneri.
His work deals with themes such as Bacterial outer membrane and Membrane protein, which intersect with Protein structure.
His work carried out in the field of Membrane insertion brings together such families of science as Virulence, SUPERFAMILY, Crystallography, Microbial toxins and Binding selectivity.
His most cited work include:
- Pore-forming toxins: ancient, but never really out of fashion (309 citations)
- Molecular assembly of the aerolysin pore reveals a swirling membrane-insertion mechanism. (133 citations)
- Molecular assembly of the aerolysin pore reveals a swirling membrane-insertion mechanism. (133 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Biochemistry, Biophysics, Protein structure, Transmembrane protein and Cell biology.
His work in the fields of Biochemistry, such as Enzyme, Transmembrane domain, Periplasmic space and Membrane, overlaps with other areas such as Web of science.
Matteo Dal Peraro has included themes like Crystallography, Histidine kinase and Protein secondary structure in his Biophysics study.
Matteo Dal Peraro usually deals with Protein structure and limits it to topics linked to Computational biology and Virology.
His research in Transmembrane protein intersects with topics in Molecular dynamics, Aerolysin, Micelle, Cell membrane and Membrane insertion.
His Aerolysin research includes elements of Nanopore and Nanotechnology.
He most often published in these fields:
- Biochemistry (29.17%)
- Biophysics (31.77%)
- Protein structure (21.88%)
What were the highlights of his more recent work (between 2017-2021)?
- Biophysics (31.77%)
- Cell biology (15.10%)
- CASP (7.29%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Biophysics, Cell biology, CASP, Biochemistry and Nanotechnology.
Matteo Dal Peraro has researched Biophysics in several fields, including Protein structure, Structural motif, DNA sequencing and Aerolysin.
His work in Protein structure addresses issues such as Cryo-electron microscopy, which are connected to fields such as Atomic model and Resolution.
His research in the fields of Phosphorylation, RHOA, Extracellular matrix and Extracellular overlaps with other disciplines such as Global structure.
His study looks at the intersection of CASP and topics like Structural bioinformatics with Homology modeling.
His Enzyme and Lipid binding study in the realm of Biochemistry interacts with subjects such as Coenzyme Q biosynthesis and Isoprene.
Between 2017 and 2021, his most popular works were:
- Nucleo-cytosolic Shuttling of ARGONAUTE1 Prompts a Revised Model of the Plant MicroRNA Pathway (70 citations)
- Nucleo-cytosolic Shuttling of ARGONAUTE1 Prompts a Revised Model of the Plant MicroRNA Pathway (70 citations)
- Assessment of hard target modeling in CASP12 reveals an emerging role of alignment-based contact prediction methods. (49 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Biophysics, Visual inspection, Structural bioinformatics, CASP and Homology modeling.
His Biophysics study integrates concerns from other disciplines, such as Transcription factor, Nanopore, DNA sequencing and Aerolysin.
The concepts of his Nanopore study are interwoven with issues in Protein structure, Protein sequencing, Nanosensor and Oligonucleotide.
The various areas that he examines in his Aerolysin study include Biomolecule, In silico, Nucleic acid and Proteomics.
Similarity and Model selection is closely connected to Data mining in his research, which is encompassed under the umbrella topic of Visual inspection.
His research integrates issues of Extracellular, Active site, Staphylococcus aureus, Signal transduction and Intracellular in his study of Homology modeling.
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