Didier Rognan
scientist
Facts
11 properties- Instance of
- human
- Date of birth
- 1962
- Occupation
- pharmacist, scientist
- Field of work
- medicinal chemistry, pharmacy[4][5]
- Doctoral advisor
- Camille Georges Wermuth[6]
- Doctoral student
- Mireille Krier, Anne-Marie Ray[8][9]
- Family name
- Rognan[10]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Didier Rognan
en Rognan D
🔖 Identifiers · 19
- ISNI
- 0000000117505054
- ORCID iD
- 0000-0002-0577-641X
- VIAF cluster ID
- 22245229
- Library of Congress authority ID
- nb2006004625
- GND ID
- 1089253214
- OpenAlex ID
- A5037175705, A5095730419as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Bibliothèque nationale de France ID
- 124916822
- CONOR.SI ID
- 297381987
- Canadiana Name Authority ID
- ncf11051518
- DDB person (GND) ID
- 1089253214
- Dimensions author ID
- 01077661177.25
- GEPRIS person ID
- 239741147
Show all 19 identifiers +7
- IdRef ID
- 034127445
- NL CR AUT ID
- ntk20181004480
- NUKAT ID
- n2006006776
- National Library of Israel J9U ID
- 987007449953105171
- SHARE Catalogue author ID
- 505528
- SNSF person ID
- 45784
- Yale LUX ID
- person/a4bab661-1231-41e4-b7a2-a7dc7c91e3d3
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
A Computer Vision Approach to Align and Compare Protein Cavities: Application to Fragment-Based Drug Design,
Docking pose selection by interaction pattern graph similarity: application to the D3R grand challenge 2015,
IChemPIC: A Random Forest Classifier of Biological and Crystallographic Protein–Protein Interfaces,
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening,
On the Difficulty to Rescore Hits from Ultralarge Docking Screens,
On the Frustration to Predict Binding Affinities from Protein–Ligand Structures with Deep Neural Networks,
Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2,
Target-Focused Library Design by Pocket-Applied Computer Vision and Fragment Deep Generative Linking
+1 more
← Authored by 9
A Computer Vision Approach to Align and Compare Protein Cavities: Application to Fragment-Based Drug Design,
Docking pose selection by interaction pattern graph similarity: application to the D3R grand challenge 2015,
IChemPIC: A Random Forest Classifier of Biological and Crystallographic Protein–Protein Interfaces,
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening,
On the Difficulty to Rescore Hits from Ultralarge Docking Screens,
On the Frustration to Predict Binding Affinities from Protein–Ligand Structures with Deep Neural Networks,
Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2,
Target-Focused Library Design by Pocket-Applied Computer Vision and Fragment Deep Generative Linking
+1 more
Press Enter · cited answer in seconds
0 sources
Summary
Didier Rognan was born in 1962[1]. He worked as a pharmacist[2] and scientist[3].
Body
Career and Affiliations
Fields of work include medicinal chemistry[4], a branch of chemistry[14] and pharmacy[5], an interdisciplinary science[15]. Doctoral students include Mireille Krier[8], a researcher[16], b. 1978[17] and Anne-Marie Ray[9], a researcher[18], b. 1986[19].