Stefano Moro
Molecular Biology · 2006–2019
A researcher in the Science corpus: 5 papers; trusts 45 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 74 citations into it; #10,600 of 17,773 by trust here, #16,150 by citations
- Computational Theory and Mathematics — 39 citations into it; #5,999 of 12,182 by trust here, #8,756 by citations
- Computational Chemistry & Drug Discovery — 28 citations into it; #259 of 425 by trust here, #425 by citations
- Materials Chemistry — 20 citations into it
- Atomic and Molecular Physics, and Optics — 13 citations into it
- Organic Chemistry — 5 citations into it
- Pharmacology — 5 citations into it
Whom Stefano Moro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Kästner
- Hans-Joachim Böhm
- Richard A. Friesner
- Jens Meiler
- Shengyou Huang
- Garrett M. Morris
- Hernán Alonso
- Arthur J. Olson
- Matthias Rarey
- Robert B. Murphy
Who trusts Stefano Moro overall
Papers from Stefano Moro's perspective
Ordered by how strongly the researchers Stefano Moro trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank
- Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
- A fast flexible docking method using an incremental construction algorithm.
- FLOG: A system to select ‘quasi-flexible’ ligands complementary to a receptor of known three-dimensional structure
- A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
- Escaping free-energy minima
- Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
- Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
- Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
- Knowledge-based scoring function to predict protein-ligand interactions.
Their papers
- Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview (2018) — 553 citations
- Ligand-based drug design methodologies in drug discovery process: an overview. (2006) — 40 citations
- Alternative Quality Assessment Strategy to Compare Performances of GPCR-Ligand Docking Protocols: The Human Adenosine A2A Receptor as a Case Study (2014) — 26 citations
- Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database (2019) — 22 citations
- Medicinal chemistry and the molecular operating environment (MOE): application of QSAR and molecular docking to drug discovery. (2008) — 1,066 citations