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Chemical Communications (Cambridge, England)
|
September 11, 2025
Enhancing deep chemical reaction prediction with advanced chirality and fragment representation
Fabrizio Mastrolorito, Fulvio Ciriaco, Orazio Nicolotti, et al.
Journal of Chemical Information and Modeling
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April 9, 2025
PoseidonQ: A Free Machine Learning Platform for the Development, Analysis, and Validation of Efficient and Portable QSAR Models for Drug Discovery
Muzammil Kabier, Nicola Gambacorta, Fulvio Ciriaco, et al.
Communications Chemistry
|
January 29, 2025
fragSMILES as a chemical string notation for advanced fragment and chirality representation
Fabrizio Mastrolorito, Fulvio Ciriaco, Maria Vittoria Togo, et al.
Scientific Reports
|
December 4, 2023
Making sense of chemical space network shows signs of criticality
Nicola Amoroso, Nicola Gambacorta, Fabrizio Mastrolorito, et al.
Expert Opinion on Drug Metabolism & Toxicology
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December 23, 2023
Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives
Maria Vittoria Togo, Fabrizio Mastrolorito, Angelica Orfino, et al.
Angewandte Chemie (International Ed. in English)
|
December 10, 2025
Novel Sulfonium Reagents for the Modular Synthesis of Spiro[2.3]Hexanes and Heteroatom-Containing Analogues: Synthesis, Application, and Evaluation as Bioisosteres
Philipp Natho, Annarita Vicenti, Fabrizio Mastrolorito, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
September 23, 2024
TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs
Maria Vittoria Togo, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
ACS Omega
|
June 22, 2026
Explainable Bidirectional Long Short-Term Memory Networks Learn Chemistry from SMILES for Predicting Toxicity of Androgen and Estrogen Receptor Chemicals
Francesca Cutropia, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
Journal of Chemical Information and Modeling
|
December 15, 2022
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity
Maria Vittoria Togo, Fabrizio Mastrolorito, Fulvio Ciriaco, et al.
Chemical Research in Toxicology
|
January 10, 2024
TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity
Fabrizio Mastrolorito, Maria Vittoria Togo, Nicola Gambacorta, et al.
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Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Chemical Communications (Cambridge, England)
|
September 11, 2025
Enhancing deep chemical reaction prediction with advanced chirality and fragment representation
Fabrizio Mastrolorito, Fulvio Ciriaco, Orazio Nicolotti, et al.
Journal of Chemical Information and Modeling
|
April 9, 2025
PoseidonQ: A Free Machine Learning Platform for the Development, Analysis, and Validation of Efficient and Portable QSAR Models for Drug Discovery
Muzammil Kabier, Nicola Gambacorta, Fulvio Ciriaco, et al.
Communications Chemistry
|
January 29, 2025
fragSMILES as a chemical string notation for advanced fragment and chirality representation
Fabrizio Mastrolorito, Fulvio Ciriaco, Maria Vittoria Togo, et al.
Scientific Reports
|
December 4, 2023
Making sense of chemical space network shows signs of criticality
Nicola Amoroso, Nicola Gambacorta, Fabrizio Mastrolorito, et al.
Expert Opinion on Drug Metabolism & Toxicology
|
December 23, 2023
Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives
Maria Vittoria Togo, Fabrizio Mastrolorito, Angelica Orfino, et al.
Angewandte Chemie (International Ed. in English)
|
December 10, 2025
Novel Sulfonium Reagents for the Modular Synthesis of Spiro[2.3]Hexanes and Heteroatom-Containing Analogues: Synthesis, Application, and Evaluation as Bioisosteres
Philipp Natho, Annarita Vicenti, Fabrizio Mastrolorito, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
September 23, 2024
TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs
Maria Vittoria Togo, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
ACS Omega
|
June 22, 2026
Explainable Bidirectional Long Short-Term Memory Networks Learn Chemistry from SMILES for Predicting Toxicity of Androgen and Estrogen Receptor Chemicals
Francesca Cutropia, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
Journal of Chemical Information and Modeling
|
December 15, 2022
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity
Maria Vittoria Togo, Fabrizio Mastrolorito, Fulvio Ciriaco, et al.
Chemical Research in Toxicology
|
January 10, 2024
TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity
Fabrizio Mastrolorito, Maria Vittoria Togo, Nicola Gambacorta, et al.
Page
of 2