Stefano Forli
Molecular Biology · 2010–2022
A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 83 citations into it
- Computational Theory and Mathematics — 81 citations into it; #11,912 of 12,182 by trust here, #1,983 by citations
- Computational Chemistry & Drug Discovery — 32 citations into it
- Materials Chemistry — 30 citations into it
- Infectious Diseases — 14 citations into it
- Computational Biology & Bioinformatics — 10 citations into it
- Spectroscopy — 10 citations into it
- Virology — 10 citations into it
Whom Stefano Forli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Garrett M. Morris
- Ruth Huey
- Arthur J. Olson
- David S. Goodsell
- S. Parasuraman
- Sandro Cosconati
- Michel F. Sanner
- Douglas B. Kitchen
- Brian K. Shoichet
- R. Amaro
Who trusts Stefano Forli overall
Papers from Stefano Forli's perspective
Ordered by how strongly the researchers Stefano Forli trusts endorse each paper. Same corpus, a different order for every researcher.
- Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
- Protein–ligand docking: Current status and future challenges
- Prediction of protein-ligand interactions. Docking and scoring: successes and gaps. (Journal of Medicinal Chemistry)
- The Protein Data Bank.
- 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
- Diverse, high-quality test set for the validation of protein-ligand docking performance.
- Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
- ZINC - A Free Database of Commercially Available Compounds for Virtual Screening
- Automated docking to multiple target structures: Incorporation of protein mobility and structural water heterogeneity in AutoDock (Proteins: Structure, Function, and Bioinformatics)
Their papers
- Proteome-wide covalent ligand discovery in native biological systems (2016) — 775 citations
- AutoDock Vina 1.2.0: new docking methods, expanded force field, and Python bindings (2021) — 6,071 citations
- Virtual Screening with AutoDock: Theory and Practice (2010) — 643 citations
- Covalent docking using autodock: Two‐point attractor and flexible side chain methods (2016) — 222 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
- Evaluation of AlphaFold2 structures as docking targets (2022) — 78 citations