Michel F. Sanner

Computational Theory and Mathematics · 2002–2019

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 31 citations into it; #7,253 of 12,182 by trust here, #527 by citations
• Molecular Biology — 24 citations into it; #10,200 of 17,773 by trust here, #7,384 by citations
• Computational Chemistry & Drug Discovery — 12 citations into it
• Materials Chemistry — 11 citations into it

Whom Michel F. Sanner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Garrett M. Morris
2. Arthur J. Olson
3. Ruth Huey

Who trusts Michel F. Sanner overall

1. Stefano Forli
2. Shengyou Huang
3. Abdo A. Elfiky
4. Matthew Holcomb
5. Pradeep Anand Ravindranath

Papers from Michel F. Sanner's perspective

Ordered by how strongly the researchers Michel F. Sanner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
2. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
3. Learning Python
4. The Protein Data Bank.
5. Diverse, high-quality test set for the validation of protein-ligand docking performance.
6. Protein data bank
7. Virtual Screening with AutoDock: Theory and Practice (Expert Opinion on Drug Discovery)
8. Automated docking to multiple target structures: Incorporation of protein mobility and structural water heterogeneity in AutoDock (Proteins: Structure, Function, and Bioinformatics)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Open Babel: An open chemical toolbox

Their papers

• AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility (2009) — 23,062 citations
• Automated docking to multiple target structures: Incorporation of protein mobility and structural water heterogeneity in AutoDock (2002) — 455 citations
• AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility (2015) — 580 citations
• Computational protein-ligand docking and virtual drug screening with the AutoDock suite (2016) — 2,356 citations
• Accelerating AutoDock4 with GPUs and Gradient-Based Local Search (2019) — 324 citations