Jérôme Eberhardt
Molecular Biology · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 37 citations into it
- Computational Theory and Mathematics — 23 citations into it
Whom Jérôme Eberhardt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shota Uehara
- Ruth Huey
- Michael M. Mysinger
- Shigenori Tanaka
- Arthur J. Olson
- Conor Parks
- Garrett M. Morris
- Michael Carchia
Who trusts Jérôme Eberhardt overall
Papers from Jérôme Eberhardt's perspective
Ordered by how strongly the researchers Jérôme Eberhardt trusts endorse each paper. Same corpus, a different order for every researcher.
- A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking
- Python Programming Language (USENIX Annual Technical Conference)
- AutoDock-GIST: Incorporating Thermodynamics of Active-Site Water into Scoring Function for Accurate Protein-Ligand Docking
- D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies
- Evolutionarily conserved pathways of energetic connectivity in protein families.
- A Unified View of “How Allostery Works” (PLoS Comput. Biol.)
- Global dynamics of proteins: bridging between structure and function.
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
Their papers
- AutoDock Vina 1.2.0: new docking methods, expanded force field, and Python bindings (2021) — 6,071 citations
- Allostery in Its Many Disguises: From Theory to Applications (2019) — 322 citations