William F. DeGrado
Molecular Biology · 1990–2020
A researcher in the Science corpus: 21 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 145 citations into it; #7,749 of 17,773 by trust here, #4,241 by citations
- Materials Chemistry — 56 citations into it; #6,408 of 11,513 by trust here, #6,135 by citations
- Radiology, Nuclear Medicine and Imaging — 25 citations into it
- Organic Chemistry — 18 citations into it
- Computational Biology & Bioinformatics — 16 citations into it
- Microbiology — 15 citations into it
- Ecology — 12 citations into it; #8,726 of 10,717 by trust here, #4,784 by citations
- Biomaterials — 10 citations into it
Whom William F. DeGrado trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Po-Ssu Huang
- Ehud Gazit
- Jay W. Ponder
- J. Desjarlais
- S. Gonen
- Tracy M. Handel
- Enrique Marcos
- David Baker
- Scott E. Boyken
- Gevorg Grigoryan
Who trusts William F. DeGrado overall
Papers from William F. DeGrado's perspective
Ordered by how strongly the researchers William F. DeGrado trusts endorse each paper. Same corpus, a different order for every researcher.
- Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
- Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
- RosettaHoles: Rapid assessment of protein core packing for structure prediction, refinement, design, and validation
- RosettaRemodel: A Generalized Framework for Flexible Backbone Protein Design
- Kemp elimination catalysts by computational enzyme design
- De novo design of a non-local β-sheet protein with high stability and accuracy
- Accurate design of megadalton-scale two-component icosahedral protein complexes
- High-resolution protein design with backbone freedom.
- Computational Design of Virus-like Protein Assemblies on Carbon Nanotube Surfaces
Their papers
- A defined structural unit enables de novo design of small-molecule–binding proteins (2020) — 133 citations
- beta-Peptides: from structure to function. (2001) — 1,415 citations
- Computational Design of Virus-like Protein Assemblies on Carbon Nanotube Surfaces (2011) — 206 citations
- De novo design of covalently constrained mesosize protein scaffolds with unique tertiary structures (2017) — 48 citations
- De novo design and molecular assembly of a transmembrane diporphyrin-binding protein complex. (2010) — 114 citations
- De novo design of a transmembrane Zn2+-transporting four-helix bundle (2014) — 291 citations
- De novo protein design, a retrospective (2020) — 165 citations
- SNAC-tag for Sequence-specific Chemical Protein Cleavage (2019) — 70 citations
- Computational design of a protein crystal (2012) — 173 citations
- Principles for computational design of binding antibodies (2017) — 136 citations
- Computational design of a water‐soluble analog of phospholamban (2003) — 40 citations
- Foldamers as versatile frameworks for the design and evolution of function. (2007) — 736 citations
- Structure of the Amantadine Binding Site of Influenza M2 Proton Channels In Lipid Bilayers (2010) — 629 citations
- De novo design of antimicrobial polymers, foldamers, and small molecules: from discovery to practical applications. (2010) — 494 citations
- The Protocol for SNAC-tag Chemical Protein Cleavage (2019)
- Supporting Online Material for Computational Design of Peptides That Target Transmembrane Helices (2007)
- Ultrafast folding of α3D: A de novo designed three-helix bundle protein (2003) — 143 citations
- Activation of Integrin αIIbß3 by Modulation of Transmembrane Helix Associations (2003) — 229 citations
- β-Peptides: From Structure to Function (2001) — 151 citations
- De novo protein design: what are we learning? (1991)