What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Biochemistry, Peptide, Dermaseptin, Antimicrobial peptides and Peptide sequence.
Pierre Nicolas interconnects Stereochemistry and Function in the investigation of issues within Biochemistry.
His Peptide study incorporates themes from Residue, Biological activity and Gene.
His biological study spans a wide range of topics, including Vesicle, Membrane, Phospholipid and In vitro.
In his research on the topic of Antimicrobial peptides, Antibacterial agent and Zoology is strongly related with Phyllomedusinae.
His study in the field of Temporin is also linked to topics like Frog Skin.
His most cited work include:
- Interaction of antimicrobial dermaseptin and its fluorescently labeled analogues with phospholipid membranes. (521 citations)
- PEPTIDES AS WEAPONS AGAINST MICROORGANISMS IN THE CHEMICAL DEFENSE SYSTEM OF VERTEBRATES (515 citations)
- The vertebrate peptide antibiotics dermaseptins have overlapping structural features but target specific microorganisms. (238 citations)
What are the main themes of his work throughout his whole career to date?
Pierre Nicolas mostly deals with Biochemistry, Peptide, Dermaseptin, Stereochemistry and Antimicrobial peptides.
When carried out as part of a general Biochemistry research project, his work on Peptide sequence, Amino acid, Neurophysins and Binding site is frequently linked to work in Frog Skin, therefore connecting diverse disciplines of study.
His studies in Peptide integrate themes in fields like Neuropeptide, Molecular biology, Micelle and Residue.
His Dermaseptin study integrates concerns from other disciplines, such as Membrane, In vitro and Circular dichroism.
His Stereochemistry research is multidisciplinary, relying on both Tripeptide, Receptor, Dermorphin, Conformational isomerism and Deltorphin I.
His Antimicrobial peptides research includes elements of Phyllomedusa bicolor and Phyllomedusinae.
He most often published in these fields:
- Biochemistry (51.75%)
- Peptide (36.84%)
- Dermaseptin (28.95%)
What were the highlights of his more recent work (between 2006-2017)?
- Biochemistry (51.75%)
- Dermaseptin (28.95%)
- Antimicrobial peptides (18.42%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Biochemistry, Dermaseptin, Antimicrobial peptides, Peptide and Stereochemistry.
His work in the fields of Intracellular, Amino acid and Membrane overlaps with other areas such as Frog Skin.
His study with Dermaseptin involves better knowledge in Peptide sequence.
His Antimicrobial peptides research entails a greater understanding of Microbiology.
Pierre Nicolas combines subjects such as Genetics, Antimicrobial and Circular dichroism with his study of Peptide.
His Stereochemistry research incorporates elements of Protein structure, Crystallography, Micelle and Dermorphin.
Between 2006 and 2017, his most popular works were:
- Multifunctional host defense peptides: intracellular-targeting antimicrobial peptides. (236 citations)
- The dermaseptin superfamily: a gene-based combinatorial library of antimicrobial peptides. (101 citations)
- A consistent nomenclature of antimicrobial peptides isolated from frogs of the subfamily Phyllomedusinae. (78 citations)
In his most recent research, the most cited papers focused on:
Pierre Nicolas spends much of his time researching Antimicrobial peptides, Dermaseptin, Peptide, Biochemistry and Peptide sequence.
His research integrates issues of Molecular cloning and Phyllomedusa bicolor in his study of Antimicrobial peptides.
His Dermaseptin research is multidisciplinary, incorporating elements of Biophysics, Membrane, Bilayer and Beta defensin.
The concepts of his Peptide study are interwoven with issues in Antimicrobial, Gene, Coding region, Circular dichroism and Peptide library.
Pierre Nicolas merges Biochemistry with Frog Skin in his research.
His Peptide sequence study incorporates themes from Zoology, Phyllomedusinae, Subfamily and Antibacterial agent.
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.
