Jeffrey J. Headd
Johnson & Johnson (United States)(US)
Publications by Year
Research Areas
Enzyme Structure and Function, Protein Structure and Dynamics, Computational Drug Discovery Methods, RNA and protein synthesis mechanisms, Machine Learning in Materials Science
Most-Cited Works
- → PHENIX: a comprehensive Python-based system for macromolecular structure solution(2010)24,235 cited
- → MolProbity: all-atom structure validation for macromolecular crystallography(2009)14,478 cited
- → Towards automated crystallographic structure refinement with phenix.refine(2012)5,616 cited
- → MolProbity: More and better reference data for improved all‐atom structure validation(2017)4,792 cited
- → The Phenix software for automated determination of macromolecular structures(2011)965 cited
- → Use of knowledge-based restraints in phenix.refine to improve macromolecular refinement at low resolution(2012)270 cited
- → RNA backbone: Consensus all-angle conformers and modular string nomenclature (an RNA Ontology Consortium contribution)(2008)264 cited
- → Improved low-resolution crystallographic refinement with Phenix and Rosetta(2013)186 cited
- → Graphical tools for macromolecular crystallography inPHENIX(2012)171 cited