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PubPharm (121)
1
The Impact of Supervised Learning Methods in Ultralarge High-Throughput Docking
enthalten in:
Journal of chemical information and modeling
| 2023
von
Cavasotto, C.
|
Di Filippo, J.
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2
How good are AlphaFold models for docking-based virtual screening?
enthalten in:
iScience
| 2023
von
Scardino, V.
|
Di Filippo, J.
|
Cavasotto, C.
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3
How good are AlphaFold models for docking-based virtual screening?
enthalten in:
chemRxiv.org
| 2023
von
Scardino, V.
|
Di Filippo, J.
|
Cavasotto, C.
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4
Machine Learning Toxicity Prediction : Latest Advances by Toxicity End Point
enthalten in:
ACS omega
| 2022
von
Cavasotto, C.
|
Scardino, V.
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5
Functional and druggability analysis of the SARS-CoV-2 proteome
enthalten in:
bioRxiv.org
| 2022
von
Cavasotto, C.
|
Sánchez Lamas, M.
|
Maggini, J.
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6
Solvent effects on the NMR shieldings of stacked DNA base pairs
enthalten in:
Physical chemistry chemical physics : PCCP
| 2022
von
Martínez, F.
|
Adler, N.
|
Cavasotto, C.
| +1
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7
Insights into the product release mechanism of dengue virus NS3 helicase
enthalten in:
Nucleic acids research
| 2022
von
Adler, N.
|
Cababie, L.
|
Sarto, C.
| +6
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8
Combination of pose and rank consensus in docking-based virtual screening: the best of both worlds
enthalten in:
chemRxiv.org
| 2022
von
Scardino, V.
|
Bollini, M.
|
Cavasotto, C.
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9
Combination of pose and rank consensus in docking-based virtual screening: the best of both worlds
enthalten in:
chemRxiv.org
| 2022
von
Scardino, V.
|
Bollini, M.
|
Cavasotto, C.
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10
Guided structure-based ligand identification and design via artificial intelligence modeling
enthalten in:
Expert opinion on drug discovery
| 2022
von
Di Filippo, J.
|
Cavasotto, C.
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