Amr Alhossary
Computational Theory and Mathematics · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 12 citations into it; #7,180 of 12,182 by trust here, #4,365 by citations
- Molecular Biology — 11 citations into it; #8,349 of 17,773 by trust here, #11,410 by citations
- Computational Chemistry & Drug Discovery — 5 citations into it
- Materials Chemistry — 5 citations into it
Whom Amr Alhossary trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Amr Alhossary overall
- Shitong Luo
- Gabriele Corso
- Hannes Stärk
- Nafisa Hassan
- Fei Liu
- Kexin Huang
- Yang Liu
- Regina Barzilay
- Bowen Jing
Papers from Amr Alhossary's perspective
Ordered by how strongly the researchers Amr Alhossary trusts endorse each paper. Same corpus, a different order for every researcher.
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- The PDBbind database: methodologies and updates.
- Efficient docking of peptides to proteins without prior knowledge of the binding site (Protein Science)
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- PDB-wide collection of binding data: current status of the PDBbind database
- Comparative Assessment of Scoring Functions on a Diverse Test Set (Journal of Chemical Information and Modeling)
- AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility
- The PDBbind database: collection of binding affinities for protein-ligand complexes with known three-dimensional structures.
- Fast, accurate, and reliable molecular docking with QuickVina 2
- GalaxyDock: Protein-Ligand Docking with Flexible Protein Side-chains
Their papers
- Fast, accurate, and reliable molecular docking with QuickVina 2 (2015) — 387 citations
- Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration (2017) — 312 citations