Automated Author ProfileDi Santo, Roberto
Di Santo, Roberto
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.2 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Terminal deoxynucleotidyl transferase (TdT) is overexpressed in some cancer types, where it drives the mutagenic repair of double strand breaks through non canonical non-homologous end joining pathway. The TdT enzyme belongs to the X family of polymerases, together with the DNA polymerase λ (pol λ) and β (pol β). However, TdT exclusively displays template-independent nucleotide polymerisation. Pursuing our studies in developing TdT inhibitors, herein we deepened the structure-activity relationships of new structural analogues of our previously identified hit compounds. The diketo hexenoic acid derivatives here analysed showed high selectivity towards TdT and inhibition potencies spanning from the low micromolar range to the nanomolar. Docking studies highlighted the chemical features involved in the TdT binding, well contributing to the rationalisation of the structural requirements needed for the enzymatic inhibition.
Authors
- Madia, Valentina Noemi ;
- Garibaldi, Nadia ;
- Ialongo, Davide ;
- Patacchini, Elisa ;
- Tudino, Valeria ;
- Ruggieri, Giuseppe ;
- Zarbo, Laura ;
- Cara, Emanuele ;
- Coluccia, Antonio ;
- Artico, Marco ;
- Scipione, Luigi ;
- Messore, Antonella ;
- Saccoliti, Francesco ;
- Mentegari, Elisa ;
- Maga, Giovanni ;
- Di Santo, Roberto ;
- Crespan, Emmanuele ;
- Costi, Roberta
Terminal deoxynucleotidyl transferase (TdT) is overexpressed in some cancer types, where it drives the mutagenic repair of double strand breaks through non canonical non-homologous end joining pathway. The TdT enzyme belongs to the X family of polymerases, together with the DNA polymerase λ (pol λ) and β (pol β). However, TdT exclusively displays template-independent nucleotide polymerisation. Pursuing our studies in developing TdT inhibitors, herein we deepened the structure-activity relationships of new structural analogues of our previously identified hit compounds. The diketo hexenoic acid derivatives here analysed showed high selectivity towards TdT and inhibition potencies spanning from the low micromolar range to the nanomolar. Docking studies highlighted the chemical features involved in the TdT binding, well contributing to the rationalisation of the structural requirements needed for the enzymatic inhibition.
Authors
- Madia, Valentina Noemi ;
- Garibaldi, Nadia ;
- Ialongo, Davide ;
- Patacchini, Elisa ;
- Tudino, Valeria ;
- Ruggieri, Giuseppe ;
- Zarbo, Laura ;
- Cara, Emanuele ;
- Coluccia, Antonio ;
- Artico, Marco ;
- Scipione, Luigi ;
- Messore, Antonella ;
- Saccoliti, Francesco ;
- Mentegari, Elisa ;
- Maga, Giovanni ;
- Di Santo, Roberto ;
- Crespan, Emmanuele ;
- Costi, Roberta
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Saccoliti, Francesco ;
- Madia, Valentina Noemi ;
- Tudino, Valeria ;
- De Leo, Alessandro ;
- Pescatori, Luca ;
- Messore, Antonella ;
- De Vita, Daniela ;
- Scipione, Luigi ;
- Brun, Reto ;
- Kaiser, Marcel ;
- Mäser, Pascal ;
- Calvet, Claudia M. ;
- Jennings, Gareth K. ;
- Podust, Larissa M. ;
- Pepe, Giacomo ;
- Cirilli, Roberto ;
- Faggi, Cristina ;
- Di Marco, Annalise ;
- Battista, Maria Rosaria ;
- Summa, Vincenzo ;
- Costi, Roberta ;
- Di Santo, Roberto