Gaetano T. Montelione

What is he best known for?

The fields of study he is best known for:

• Gene
• Enzyme
• DNA

His main research concerns Protein structure, Crystallography, Structural genomics, Biochemistry and Nuclear magnetic resonance spectroscopy. His Protein structure study combines topics in areas such as Stereochemistry, Protein Data Bank and Protein folding. His Crystallography study combines topics from a wide range of disciplines, such as Antiparallel, Protein domain, Cyana, Two-dimensional nuclear magnetic resonance spectroscopy and Biological system.

His Structural genomics research is multidisciplinary, incorporating elements of Decision tree, Structural biology, Computational biology and Analytical chemistry. His research in Computational biology intersects with topics in Genetics, Experimental data and Bioinformatics. His Nuclear magnetic resonance spectroscopy research is multidisciplinary, relying on both Dihedral angle, Molecule and Chemical shift.

His most cited work include:

• Consistent blind protein structure generation from NMR chemical shift data (674 citations)
• Protein production and purification. (655 citations)
• Evaluating protein structures determined by structural genomics consortia. (526 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Structural genomics, Computational biology, Biochemistry, Protein structure and Stereochemistry. His Structural genomics research incorporates elements of Solution structure, Genetics, Protein domain and Protein family. His research combines Bacillus subtilis and Biochemistry.

His Protein structure research includes themes of Sequence alignment, Crystallography, Protein folding, Nuclear magnetic resonance spectroscopy and Binding site. Gaetano T. Montelione is interested in Crystal structure, which is a branch of Crystallography.

He most often published in these fields:

• Structural genomics (69.14%)
• Computational biology (29.71%)
• Biochemistry (36.80%)

What were the highlights of his more recent work (between 2013-2021)?

• Structural genomics (69.14%)
• Protein structure (36.80%)
• Computational biology (29.71%)

In recent papers he was focusing on the following fields of study:

Gaetano T. Montelione mostly deals with Structural genomics, Protein structure, Computational biology, Crystallography and Biochemistry. He integrates many fields, such as Structural genomics and Plectin, in his works. The various areas that he examines in his Protein structure study include Biological system, Nuclear magnetic resonance spectroscopy, Residual dipolar coupling and Nmr data.

Gaetano T. Montelione has researched Computational biology in several fields, including Interaction network and Genetics. His work on Crystal structure as part of his general Crystallography study is frequently connected to Small-angle X-ray scattering, thereby bridging the divide between different branches of science. Escherichia coli and Protease are the primary areas of interest in his Biochemistry study.

Between 2013 and 2021, his most popular works were:

• Codon influence on protein expression in E. coli correlates with mRNA levels (239 citations)
• Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop (122 citations)
• Assessment of template‐based protein structure predictions in CASP10 (85 citations)

In his most recent research, the most cited papers focused on:

• Gene
• Enzyme
• DNA

Gaetano T. Montelione mainly focuses on Protein structure, Crystallography, Biochemistry, Structural genomics and Computational biology. His study in Protein structure is interdisciplinary in nature, drawing from both Folding, α helices and Chemical physics. He interconnects Dimer and Protein Data Bank in the investigation of issues within Crystallography.

His work deals with themes such as Structural plasticity, Nuclear magnetic resonance spectroscopy, Residual dipolar coupling and Nuclear magnetic resonance crystallography, which intersect with Structural genomics. His research integrates issues of Representation and Biological system in his study of Nuclear magnetic resonance spectroscopy. His research in Computational biology focuses on subjects like Sequence analysis, which are connected to SH3 domain, Spumavirus and Sequence alignment.