D. Liebschner
Materials Chemistry · 2017–2023
A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 112 citations into it
- Molecular Biology — 104 citations into it
- Computational Chemistry & Drug Discovery — 12 citations into it
- AI for Physical Sciences — 8 citations into it
Whom D. Liebschner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pavel V. Afonine
- Paul D. Adams
- T. C. Terwilliger
- R. Grosse-Kunstleve
- G. Sheldrick
- Nigel W. Moriarty
- Alexandre Urzhumtsev
- A. Brunger
- Randy J. Read
- D. Tronrud
Who trusts D. Liebschner overall
Papers from D. Liebschner's perspective
Ordered by how strongly the researchers D. Liebschner trusts endorse each paper. Same corpus, a different order for every researcher.
- High-resolution structure of a retroviral protease folded as a monomer
- Improved methods for building protein models in electron density maps and the location of errors in these models.
- SHELXL: high-resolution refinement.
- Phaser crystallographic software
- Where freedom is given, liberties are taken.
- Accurate Bond and Angle Parameters for X-ray Protein Structure Refinement
- International Tables for Crystallography
- The penultimate rotamer library
- A short history of SHELX.
- Improvement of molecular-replacement models with Sculptor
Their papers
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (2019) — 5,538 citations
- Evaluation of models determined by neutron diffraction and proposed improvements to their validation and deposition (2018) — 13 citations
- Announcing mandatory submission of PDBx/mmCIF format files for crystallographic depositions to the Protein Data Bank (PDB). (2019) — 49 citations
- Interactive comparison and remediation of collections of macromolecular structures (2018) — 14 citations
- Polder maps: improving OMIT maps by excluding bulk solvent (2017) — 562 citations
- AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination (2023) — 298 citations