What is he best known for?
The fields of study he is best known for:
- Enzyme
- Biochemistry
- Amino acid
Roderick E. Hubbard mostly deals with Biochemistry, Binding site, Stereochemistry, Protein structure and Biophysics.
His work in the fields of MAP kinase kinase kinase, Tyrosine-protein kinase CSK and SH3 domain overlaps with other areas such as Hsp90 and MAP2K7.
In his work, Endocrinology and Drug design is strongly intertwined with Ligand, which is a subfield of Binding site.
His Stereochemistry study combines topics in areas such as Polysaccharide, Cell wall, Mineralogy and Active site.
His Protein structure research is multidisciplinary, relying on both Crystallography, Structure–activity relationship and Hydrogen bond.
His Biophysics research incorporates elements of Agonist and Drug development.
His most cited work include:
- Molecular basis of agonism and antagonism in the oestrogen receptor. (2808 citations)
- Hydrogen bonding in globular proteins (1414 citations)
- Structural model of ATP-binding proteins associated with cystic fibrosis, multidrug resistance and bacterial transport. (1039 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Stereochemistry, Biochemistry, Drug discovery, Crystallography and Computational biology.
His Stereochemistry research includes themes of Enzyme, Active site, Small molecule and Binding site.
His Biochemistry study frequently intersects with other fields, such as Biophysics.
His Drug discovery study also includes
- Fragment which connect with Chemical space,
- Combinatorial chemistry, which have a strong connection to Ligand.
Roderick E. Hubbard has included themes like Protein structure, Transmembrane domain and Hydrogen bond in his Crystallography study.
In his study, Data science is strongly linked to Fragment-based lead discovery, which falls under the umbrella field of Computational biology.
He most often published in these fields:
- Stereochemistry (27.45%)
- Biochemistry (16.34%)
- Drug discovery (15.69%)
What were the highlights of his more recent work (between 2016-2021)?
- Stereochemistry (27.45%)
- Drug discovery (15.69%)
- Fragment-based lead discovery (10.46%)
In recent papers he was focusing on the following fields of study:
Roderick E. Hubbard spends much of his time researching Stereochemistry, Drug discovery, Fragment-based lead discovery, Computational biology and Small molecule.
His Stereochemistry research also works with subjects such as
- Enzyme that intertwine with fields like Cellulose,
- Structure which is related to area like Crystallography,
- Fragment, which have a strong connection to Nanotechnology and Biosensor,
- Trichoderma reesei that intertwine with fields like β glucosidase.
Roderick E. Hubbard usually deals with Crystallography and limits it to topics linked to Protein kinase domain and Biochemistry and Kinase.
His study in Drug discovery is interdisciplinary in nature, drawing from both Protein structure, Chemical biology, DYRK1A and Cell culture.
His research investigates the connection with Protein structure and areas like Drug which intersect with concerns in Binding site and Ligand.
His Computational biology study integrates concerns from other disciplines, such as Heteronuclear molecule, Series and Isothermal titration calorimetry.
Between 2016 and 2021, his most popular works were:
- Current perspectives in fragment-based lead discovery (FBLD) (63 citations)
- S55746 is a novel orally active BCL-2 selective and potent inhibitor that impairs hematological tumor growth. (39 citations)
- Water Networks Can Determine the Affinity of Ligand Binding to Proteins. (22 citations)
In his most recent research, the most cited papers focused on:
- Enzyme
- Amino acid
- Biochemistry
Roderick E. Hubbard mostly deals with Drug discovery, Fragment-based lead discovery, Computational biology, Fragment and Ligand.
Drug discovery and Protein structure are commonly linked in his work.
His study explores the link between Protein structure and topics such as Structure–activity relationship that cross with problems in Cancer research.
His work deals with themes such as Field and Perspective, which intersect with Fragment-based lead discovery.
His Computational biology research includes themes of Chemical biology and Bioinformatics.
His Ligand research is multidisciplinary, incorporating elements of Drug, Protein engineering, Protein sequencing, Binding site and Bioinorganic chemistry.
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