BARNESCHI, LEONARDO
BARNESCHI, LEONARDO
Automated QM/MM Screening of Rhodopsin Variants with Enhanced Fluorescence
2023-01-01 Pedraza-González, Laura; Barneschi, Leonardo; Marszałek, Michał; Padula, Daniele; De Vico, Luca; Olivucci, Massimo
Computational studies of the mechanism of fluorescence enhancement and spectral tuning in arch neuronal optogenetic reporters
2023-01-01 Barneschi, Leonardo
Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
2022-01-01 Pedraza-González, Laura; Barneschi, Leonardo; Padula, Daniele; De Vico, Luca; Olivucci, Massimo
Molecular Geometry Impact on Deep Learning Predictions of Inverted Singlet–Triplet Gaps
2024-01-01 Barneschi, Leonardo; Rotondi, Leonardo; Padula, Daniele
On the fluorescence enhancement of arch neuronal optogenetic reporters
2022-01-01 Barneschi, Leonardo; Marsili, Emanuele; Pedraza-González, Laura; Padula, Daniele; De Vico, Luca; Kaliakin, Danil; Blanco-González, Alejandro; Ferré, Nicolas; Huix-Rotllant, Miquel; Filatov, Michael; Olivucci, Massimo
Pro219 is an electrostatic color determinant in the light-driven sodium pump KR2
2021-01-01 Nakajima, Y.; Pedraza-Gonzalez, L.; Barneschi, L.; Inoue, K.; Olivucci, M.; Kandori, H.
Retinal chromophore charge delocalization and confinement explain the extreme photophysics of Neorhodopsin
2022-01-01 Palombo, Riccardo; Barneschi, Leonardo; Pedraza-González, Laura; Padula, Daniele; Schapiro, Igor; Olivucci, Massimo
Towards a fast machine-learning-assisted prediction of the mechanoelectric response in organic crystals
2023-01-01 Padula, D.; Barneschi, L.; Peluso, A.; Cinaglia, T.; Landi, A.
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| Automated QM/MM Screening of Rhodopsin Variants with Enhanced Fluorescence | 1-gen-2023 | Pedraza-González, Laura; Barneschi, Leonardo; Marszałek, Michał; Padula, Daniele; De Vico, Luca; Olivucci, Massimo | - | |
| Computational studies of the mechanism of fluorescence enhancement and spectral tuning in arch neuronal optogenetic reporters | 1-gen-2023 | Barneschi, Leonardo | - | |
| Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol | 1-gen-2022 | Pedraza-González, Laura; Barneschi, Leonardo; Padula, Daniele; De Vico, Luca; Olivucci, Massimo | - | |
| Molecular Geometry Impact on Deep Learning Predictions of Inverted Singlet–Triplet Gaps | 1-gen-2024 | Barneschi, Leonardo; Rotondi, Leonardo; Padula, Daniele | - | |
| On the fluorescence enhancement of arch neuronal optogenetic reporters | 1-gen-2022 | Barneschi, Leonardo; Marsili, Emanuele; Pedraza-González, Laura; Padula, Daniele; De Vico, Luca; Kaliakin, Danil; Blanco-González, Alejandro; Ferré, Nicolas; Huix-Rotllant, Miquel; Filatov, Michael; Olivucci, Massimo | - | |
| Pro219 is an electrostatic color determinant in the light-driven sodium pump KR2 | 1-gen-2021 | Nakajima, Y.; Pedraza-Gonzalez, L.; Barneschi, L.; Inoue, K.; Olivucci, M.; Kandori, H. | - | |
| Retinal chromophore charge delocalization and confinement explain the extreme photophysics of Neorhodopsin | 1-gen-2022 | Palombo, Riccardo; Barneschi, Leonardo; Pedraza-González, Laura; Padula, Daniele; Schapiro, Igor; Olivucci, Massimo | - | |
| Towards a fast machine-learning-assisted prediction of the mechanoelectric response in organic crystals | 1-gen-2023 | Padula, D.; Barneschi, L.; Peluso, A.; Cinaglia, T.; Landi, A. | - |