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Disambiguation of "Forli, Stefano"

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AutoDock Bias: improving binding mode prediction and virtual screening using known protein-ligand interactions.

, , , , , , , , and . Bioinform., 35 (19): 3836-3838 (2019)

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Prisca Forlin

Michele Forlin

Stefano Meini

Stefano Cracolici

Stefano Cardanobile

 

Other publications of authors with the same name

Cyclin-dependent kinases 5 template: Useful for virtual screening., , , , and . Comput. Biol. Medicine, 42 (1): 106-111 (2012)Ringtail: A Python Tool for Efficient Management and Storage of Virtual Screening Results., , , , , and . J. Chem. Inf. Model., 63 (7): 1858-1864 (April 2023)Massive-Scale Binding Free Energy Simulations of HIV Integrase Complexes Using Asynchronous Replica Exchange Framework Implemented on the IBM WCG Distributed Network., , , , , , , and . J. Chem. Inf. Model., 59 (4): 1382-1397 (2019)Virtual screening with AutoDock Vina and the common pharmacophore engine of a low diversity library of fragments and hits against the three allosteric sites of HIV integrase: participation in the SAMPL4 protein-ligand binding challenge., , , , and . J. Comput. Aided Mol. Des., 28 (4): 429-441 (2014)Lennard-Jones Potential and Dummy Atom Settings to Overcome the AUTODOCK Limitation in Treating Flexible Ring Systems., and . J. Chem. Inf. Model., 47 (4): 1481-1492 (2007)Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4., , , , , , , , , and . J. Comput. Aided Mol. Des., 33 (12): 1011-1020 (2019)Reactive Docking: A Computational Method for High-Throughput Virtual Screenings of Reactive Species., , , , , and . J. Chem. Inf. Model., 63 (17): 5631-5640 (September 2023)GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research., , , , , , , , , and 5 other author(s). BCB, page 43:1-43:10. ACM, (2020)Fragment-Based Analysis of Ligand Dockings Improves Classification of Actives., , , , and . Journal of Chemical Information and Modeling, 56 (8): 1597-1607 (2016)Blind prediction of HIV integrase binding from the SAMPL4 challenge., , , , , , , , , and . J. Comput. Aided Mol. Des., 28 (4): 327-345 (2014)