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For: Manelfi C, Gossen J, Gervasoni S, Talarico C, Albani S, Philipp BJ, Musiani F, Vistoli G, Rossetti G, Beccari AR, Pedretti A. Combining Different Docking Engines and Consensus Strategies to Design and Validate Optimized Virtual Screening Protocols for the SARS-CoV-2 3CL Protease. Molecules 2021;26:797. [PMID: 33557115 DOI: 10.3390/molecules26040797] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Pavan M, Moro S. Lessons Learnt from COVID-19: Computational Strategies for Facing Present and Future Pandemics. Int J Mol Sci 2023;24. [PMID: 36901832 DOI: 10.3390/ijms24054401] [Reference Citation Analysis]
2 Blanes-Mira C, Fernández-Aguado P, de Andrés-López J, Fernández-Carvajal A, Ferrer-Montiel A, Fernández-Ballester G. Comprehensive Survey of Consensus Docking for High-Throughput Virtual Screening. Molecules 2022;28. [PMID: 36615367 DOI: 10.3390/molecules28010175] [Reference Citation Analysis]
3 Beccari AR, Vistoli G. Exscalate4CoV: Innovative High Performing Computing (HPC) Strategies to Tackle Pandemic Crisis. Int J Mol Sci 2022;23:11576. [PMID: 36232873 DOI: 10.3390/ijms231911576] [Reference Citation Analysis]
4 Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022;122:11287-368. [PMID: 35594413 DOI: 10.1021/acs.chemrev.1c00965] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 15.0] [Reference Citation Analysis]
5 Gervasoni S, Talarico C, Manelfi C, Pedretti A, Vistoli G, Beccari AR. Extensive Sampling of Molecular Dynamics Simulations to Identify Reliable Protein Structures for Optimized Virtual Screening Studies: The Case of the hTRPM8 Channel. IJMS 2022;23:7558. [DOI: 10.3390/ijms23147558] [Reference Citation Analysis]
6 Iaconis D, Bordi L, Matusali G, Talarico C, Manelfi C, Cesta MC, Zippoli M, Caccuri F, Bugatti A, Zani A, Filippini F, Scorzolini L, Gobbi M, Beeg M, Piotti A, Montopoli M, Cocetta V, Bressan S, Bucci EM, Caruso A, Nicastri E, Allegretti M, Beccari AR. Characterization of raloxifene as a potential pharmacological agent against SARS-CoV-2 and its variants. Cell Death Dis 2022;13:498. [PMID: 35614039 DOI: 10.1038/s41419-022-04961-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Corona A, Wycisk K, Talarico C, Manelfi C, Milia J, Cannalire R, Esposito F, Gribbon P, Zaliani A, Iaconis D, Beccari AR, Summa V, Nowotny M, Tramontano E. Natural Compounds Inhibit SARS-CoV-2 nsp13 Unwinding and ATPase Enzyme Activities. ACS Pharmacol Transl Sci 2022;5:226-39. [PMID: 35434533 DOI: 10.1021/acsptsci.1c00253] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
8 Tutone M, Almerico AM. Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics. Molecules 2021;26:7500. [PMID: 34946582 DOI: 10.3390/molecules26247500] [Reference Citation Analysis]
9 Iaconis D, Talarico C, Manelfi C, Cesta MC, Zippoli M, Caccuri F, Matusali G, Bordi L, Scorzolini L, Bucci E, Caruso A, Nicastri E, Allegretti M, Beccari AR. Characterization of raloxifene as potential pharmacological agent against SARS-CoV-2 and its variants.. [DOI: 10.1101/2021.10.22.465294] [Reference Citation Analysis]
10 Plavec Z, Pöhner I, Poso A, Butcher SJ. Virus structure and structure-based antivirals. Curr Opin Virol 2021;51:16-24. [PMID: 34564030 DOI: 10.1016/j.coviro.2021.09.005] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]