In silico, Epitope, Computational biology, Genetics and Major histocompatibility complex are his primary areas of study. His work carried out in the field of In silico brings together such families of science as Decision tree, Immunology, Antigen and K nearest neighbour. His Epitope research includes elements of T cell, Protein folding, Molecular biology, Endoplasmic reticulum and MHC class I.
Darren R. Flower works mostly in the field of Computational biology, limiting it down to topics relating to Bioinformatics and, in certain cases, Microbial genomics, Codon optimization, Reverse vaccinology and Epitope mapping, as a part of the same area of interest. In the field of Genetics, his study on Sequence analysis and PROSITE overlaps with subjects such as InterPro. He focuses mostly in the field of Major histocompatibility complex, narrowing it down to matters related to Stereochemistry and, in some cases, Peptide and Hydrophobic effect.
His scientific interests lie mostly in Computational biology, Epitope, Major histocompatibility complex, In silico and Peptide binding. His biological study spans a wide range of topics, including Plasma protein binding, G protein-coupled receptor, Data mining, Bioinformatics and Peptide sequence. In his research, Protein family is intimately related to Protein structure, which falls under the overarching field of Peptide sequence.
Darren R. Flower combines subjects such as T cell, Immunogenicity and Virology with his study of Epitope. Major histocompatibility complex is the subject of his research, which falls under Genetics. The concepts of his Peptide binding study are interwoven with issues in MHC class I and MHC class II.
His primary areas of investigation include Epitope, Computational biology, In silico, Virology and Antigen. His Epitope study is associated with Immunology. The study incorporates disciplines such as Proteome, Bioinformatics, Identification and Peptide binding, Major histocompatibility complex in addition to Computational biology.
His studies examine the connections between Major histocompatibility complex and genetics, as well as such issues in Reverse vaccinology, with regards to Smallpox. In his study, which falls under the umbrella issue of Virology, Cytotoxic T cell, Human genome and Conserved sequence is strongly linked to T cell. His biological study spans a wide range of topics, including Pathogen and Gene.
His primary areas of study are Epitope, Virology, In silico, Computational biology and Immunology. His work on Epitope is being expanded to include thematically relevant topics such as Human leukocyte antigen. His study in Virology is interdisciplinary in nature, drawing from both CD8 and Antigen.
Darren R. Flower merges many fields, such as In silico and DNA microarray, in his writings. His Computational biology research includes themes of Dosing Frequency, Protective immunity, Immunogenicity and Bioinformatics. As a member of one scientific family, Darren R. Flower mostly works in the field of Peptide, focusing on Amino acid and, on occasion, Peptide sequence.
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The lipocalin protein family: structure and function
Darren R. Flower.
Biochemical Journal (1996)
The lipocalin protein family: structural and sequence overview.
Darren R. Flower;Anthony C.T. North;Clare E. Sansom.
Biochimica et Biophysica Acta (2000)
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
Irini A Doytchinova;Darren R Flower.
BMC Bioinformatics (2007)
Bovine β-lactoglobulin at 1.8 Å resolution — still an enigmatic lipocalin
Sharon Brownlow;João H. Morais Cabral;Ron Cooper;Darren R. Flower.
PRINTS and its automatic supplement, prePRINTS
Terri K. Attwood;Paul Bradley;Darren R. Flower;Anna Gaulton.
Nucleic Acids Research (2003)
Pheromone binding to two rodent urinary proteins revealed by X-ray crystallography.
Zsolt Böcskei;Colin R. Groom;Darren R. Flower;Darren R. Flower;Charles E. Wright.
Structure and sequence relationships in the lipocalins and related proteins.
Darren R. Flower;Anthony C.T. North;Teresa K. Attwood.
Protein Science (1993)
ON THE PROPERTIES OF BIT STRING-BASED MEASURES OF CHEMICAL SIMILARITY
Darren R. Flower.
Journal of Chemical Information and Computer Sciences (1998)
Modelling G-protein-coupled receptors for drug design.
Darren R Flower.
Biochimica et Biophysica Acta (1999)
Benchmarking B cell epitope prediction: underperformance of existing methods.
Martin J. Blythe;Darren R. Flower.
Protein Science (2009)
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